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<strong>Continuous</strong> <strong>Improvement</strong><br />

<strong>and</strong> <strong>the</strong> <strong>Expansion</strong> <strong>of</strong><br />

<strong>Quality</strong> Measurement<br />

T h e S T a T e o f h e a l T h C a r e Q u a l i T y 2 0 1 1


<strong>Continuous</strong> <strong>Improvement</strong><br />

<strong>and</strong> <strong>the</strong> <strong>Expansion</strong> <strong>of</strong><br />

<strong>Quality</strong> Measurement<br />

T h e S T a T e o f h e a l T h C a r e Q u a l i T y 2 0 1 1


2<br />

This Report <strong>and</strong> <strong>the</strong> data contained herein are protected by copyright <strong>and</strong> o<strong>the</strong>r intellectual property laws or treaties.<br />

Unauthorized copying or use is prohibited.<br />

HEDIS ® is a registered trademark <strong>of</strong> <strong>NCQA</strong>. CAHPS ® is a registered trademark <strong>of</strong> <strong>the</strong> Agency for Healthcare Research<br />

<strong>and</strong> <strong>Quality</strong>.<br />

Portions <strong>of</strong> this report were prepared using select data provided by <strong>the</strong> Centers for Medicare & Medicaid Services<br />

(CMS) pursuant to a data use agreement. The contents <strong>of</strong> <strong>the</strong> report represent <strong>the</strong> sole views <strong>of</strong> <strong>NCQA</strong> <strong>and</strong> have not<br />

been approved, reviewed or endorsed by CMS or by any o<strong>the</strong>r federal agency.<br />

© 2011 by <strong>the</strong> National Committee for <strong>Quality</strong> Assurance. All rights reserved.<br />

Printed in <strong>the</strong> U.S.A.<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

To order this or o<strong>the</strong>r publications, contact <strong>NCQA</strong> Customer Support at 888-275-7585 or log on to www.ncqa.org.


T h e S TaT e o f h e a l T h C a r e Q u a l i T y 2 0 1 1 • Ta b l e o f C o n T e n T S<br />

President’s Message . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5<br />

introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7<br />

executive suMMary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8<br />

Hedis Measures <strong>of</strong> care . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24<br />

safety <strong>and</strong> Potential Waste<br />

avoidance <strong>of</strong> antibiotic Treatment in adults With acute bronchitis . . . . . . . . . . . . . . . . . . . . . . . . . . 26<br />

use <strong>of</strong> imaging Studies for lower back Pain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28<br />

relative resource use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30<br />

Wellness <strong>and</strong> Prevention<br />

adult bMi assessment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36<br />

flu Shots for adults . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38<br />

breast Cancer Screening . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40<br />

Cervical Cancer Screening . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42<br />

Colorectal Cancer Screening . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44<br />

Medical assistance With Smoking <strong>and</strong> Tobacco use Cessation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46<br />

chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment after a heart attack . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48<br />

Comprehensive Diabetes Care . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50<br />

Controlling high blood Pressure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54<br />

Cholesterol Management for Patients With Cardiovascular Conditions . . . . . . . . . . . . . . . . . . . . . . . 56<br />

Disease Modifying anti-rheumatic Drug Therapy in rheumatoid arthritis . . . . . . . . . . . . . . . . . . . . . 58<br />

use <strong>of</strong> appropriate Medications for People With asthma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60<br />

use <strong>of</strong> Spirometry Testing in <strong>the</strong> assessment <strong>and</strong> Diagnosis <strong>of</strong> CoPD . . . . . . . . . . . . . . . . . . . . . . . . 62<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD exacerbation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64<br />

annual Monitoring for Patients on Persistent Medications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66<br />

antidepressant Medication Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68<br />

initiation <strong>and</strong> engagement <strong>of</strong> alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment . . . . . . . . . . . . . . . . . . 70<br />

Measures targeted at children <strong>and</strong> adolescents<br />

appropriate Treatment for Children With upper respiratory infection* . . . . . . . . . . . . . . . . . . . . . . . 72<br />

lead Screening in Children* . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74<br />

ambulatory Care: emergency Department Visits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75<br />

Prenatal <strong>and</strong> Postpartum Care & frequency <strong>of</strong> ongoing Prenatal Care . . . . . . . . . . . . . . . . . . . . . . . 77<br />

Chlamydia Screening in Women . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80<br />

follow-up after hospitalization for Mental illness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82<br />

appropriate Testing for Children With Pharyngitis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84<br />

Well-Child Visits in <strong>the</strong> first 15 Months <strong>of</strong> life <strong>and</strong> in <strong>the</strong> Third, fourth, fifth <strong>and</strong> Sixth years <strong>of</strong> life . . . 86<br />

adolescent Well-Care Visits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88<br />

Children <strong>and</strong> adolescents’ access to Primary Care Practitioners . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90<br />

follow-up Care for Children Prescribed aDhD Medication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93<br />

Childhood immunization Status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95<br />

immunizations for adolescents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101<br />

Weight assessment <strong>and</strong> Counseling for nutrition <strong>and</strong> Physical activity for Children/adolescents . . . 103<br />

* As part <strong>of</strong> <strong>the</strong> Pediatric <strong>Quality</strong> Measures Program, states are working with AHRQ <strong>and</strong> CMS to report Children’s Initial Core Set measures at <strong>the</strong><br />

state level in order to assess <strong>the</strong> quality <strong>of</strong> Medicaid <strong>and</strong> CHIP. All measures in this section except <strong>the</strong> two noted are in <strong>the</strong> Children’s Initial Core Set.<br />

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Measures targeted at older adults<br />

fall Risk Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105<br />

Medication in <strong>the</strong> Elderly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107<br />

Management <strong>of</strong> Urinary Incontinence in older Adults . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109<br />

Physical Activity in older Adults. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111<br />

Glaucoma Screening in older Adults . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113<br />

osteoporosis Testing in older Women . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115<br />

osteoporosis Management in Women Who Had a fracture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117<br />

ConsuMEr <strong>and</strong> PatIEnt EngagEMEnt <strong>and</strong> ExPErIEnCE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119<br />

MEtHodology ovErvIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127<br />

aPPEndICEs<br />

HEDIS Effectiveness <strong>of</strong> Care Measures: 2010 National HMo Averages. . . . . . . . . . . . . . . . . . . . . . 130<br />

HEDIS Effectiveness <strong>of</strong> Care Measures: 2010 National PPo Averages . . . . . . . . . . . . . . . . . . . . . . 134<br />

CAHPS Member Satisfaction Measures: 2010 National HMo Averages . . . . . . . . . . . . . . . . . . . . . 137<br />

CAHPS Member Satisfaction Measures: 2010 National PPo Averages . . . . . . . . . . . . . . . . . . . . . . 138<br />

Accredited vs. Nonaccredited Plans: 2010 Commercial HMo Averages . . . . . . . . . . . . . . . . . . . . . 139<br />

Accredited vs. Nonaccredited Plans: 2010 Commercial PPo Averages . . . . . . . . . . . . . . . . . . . . . . 142<br />

Accredited vs. Nonaccredited Plans: 2010 Medicaid HMo Averages . . . . . . . . . . . . . . . . . . . . . . . 145<br />

Accredited vs. Nonaccredited Plans: 2010 Medicare HMo Averages. . . . . . . . . . . . . . . . . . . . . . . 148<br />

Accredited vs. Nonaccredited Plans: 2010 Medicare PPo Averages. . . . . . . . . . . . . . . . . . . . . . . . 150<br />

Publicly Reporting vs. Nonpublicly Reporting Plans: 2010 Commercial HMos. . . . . . . . . . . . . . . . . 152<br />

Publicly Reporting vs. Nonpublicly Reporting Plans: 2010 Commercial PPos. . . . . . . . . . . . . . . . . . 155<br />

Publicly Reporting vs. Nonpublicly Reporting Plans: 2010 Medicaid HMos. . . . . . . . . . . . . . . . . . . 158<br />

Publicly Reporting vs. Nonpublicly Reporting Plans: 2010 Medicare HMos. . . . . . . . . . . . . . . . . . . 161<br />

Publicly Reporting vs. Nonpublicly Reporting Plans: 2010 Medicare PPos . . . . . . . . . . . . . . . . . . . 163<br />

HMos vs. PPos, Commercial Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165<br />

HMos vs. PPos, Medicare Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167<br />

HMos vs. PPos, Commercial Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169<br />

HMos vs. PPos, Medicare Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170<br />

Variation in Plan Performance: The 90th Percentile vs. The 10th Percentile: Commercial HMos. . . . . 171<br />

Variation in Plan Performance: The 90th Percentile vs. The 10th Percentile: Commercial PPos. . . . . . 174<br />

Variation in Plan Performance: The 90th Percentile vs. The 10th Percentile: Medicaid HMos . . . . . . 177<br />

Variation in Plan Performance: The 90th Percentile vs. The 10th Percentile: Medicare HMos . . . . . . 180<br />

Variation in Plan Performance: The 90th Percentile vs. The 10th Percentile: Medicare PPos . . . . . . . 182<br />

rEfErEnCEs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184<br />

aCknoWlEdgMEnts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199


PRESIDENT’S MESSAGE<br />

Dear Colleague:<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • P R E S I D E N T ’ S M E S S A G E<br />

Every autumn, <strong>NCQA</strong> updates <strong>the</strong> nation on how consistently health plans deliver high-quality<br />

care. This, our 15th State <strong>of</strong> Health Care <strong>Quality</strong> Report, is a snapshot <strong>of</strong> an industry that is<br />

moving in <strong>the</strong> right direction, but has opportunities for fur<strong>the</strong>r improvement.<br />

We find encouraging signs <strong>of</strong> rising quality. Across diverse measures <strong>of</strong> care, performance<br />

is improving, <strong>and</strong> insurers can be proud <strong>of</strong> what <strong>the</strong>y have accomplished. We also note that<br />

some insurers are not reporting <strong>and</strong> that for some measures, we have not seen <strong>the</strong> gains in<br />

performance we would like.<br />

Three features distinguish this year’s report. first, it is longer than in past years because it<br />

includes, for <strong>the</strong> first time, comparisons between HMos <strong>and</strong> PPos across all measures.<br />

That we are able to fill a report with PPo data tracked over time is a significant step in<br />

quality’s story. Not long ago, few PPos quantified or disclosed results. Now, measurement <strong>and</strong><br />

transparency are more common, though <strong>the</strong>re is room to add more PPo reporting.<br />

The rising tide <strong>of</strong> PPo reporting is a credit to PPos that have worked hard to fashion <strong>the</strong>mselves<br />

into data-driven organizations that collect <strong>and</strong> report results. Their willingness to evaluate<br />

<strong>the</strong>mselves <strong>and</strong> be transparent is a boon to consumers, a third <strong>of</strong> whom are enrolled in PPos.<br />

A second distinct feature <strong>of</strong> this report is a focus on longer-term trends—a departure from our<br />

usual concentration on one-year changes in performance.<br />

In a fast-paced society where attention spans seem to grow ever shorter, it’s easy to overlook<br />

<strong>the</strong> cumulative benefits <strong>of</strong> determined, incremental gains. yet stepping back to look at <strong>the</strong><br />

long term confirms that <strong>the</strong> industry has come far. The data show that insurers’ commitment to<br />

measurement, transparency <strong>and</strong> accountability has, over <strong>the</strong> years, improved care, saved lives<br />

<strong>and</strong> reduced suffering.<br />

finally, this report looks ahead to consider how quality measurement can help address what is<br />

arguably our country’s most ominous long-term threat—ballooning health care costs.<br />

It is important to grasp that <strong>the</strong> most insidious cost problems are <strong>of</strong>ten problems <strong>of</strong> quality—<br />

extra costs resulting from preventable medical errors, overtreatment <strong>and</strong> ineffective care. An<br />

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N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

increasingly common response to <strong>the</strong> cost crisis is to drop coverage or increase deductibles,<br />

a reaction that can also be understood as a quality issue. After all, not having coverage is <strong>the</strong><br />

ultimate quality gap.<br />

Reducing care as <strong>the</strong> main strategy for containing costs is a siren’s song: it might seem irresistible<br />

or inevitable, but it is ultimately destructive. A more sustainable approach is to stretch our health<br />

care dollars <strong>and</strong> get better results by emphasizing a value agenda.<br />

This report identifies ways that health plans can be catalysts to transform health care from a<br />

system that prizes volume to one that emphasizes value. In particular, we call on health plans to<br />

redefine <strong>the</strong>ir roles to take advantage <strong>of</strong> existing tools that can spur <strong>and</strong> complement delivery<br />

system reforms. These changes are important because value’s delicate intersection <strong>of</strong> cost <strong>and</strong><br />

quality is no longer just nice to have; it’s a necessity.<br />

Thank you for your interest in <strong>the</strong>se vital topics. And thank you for doing all you can to improve<br />

<strong>the</strong> state <strong>of</strong> health care quality.


INTRoDUCTIoN<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • I N T R o D U C T I o N<br />

<strong>NCQA</strong> produces The State <strong>of</strong> Health Care <strong>Quality</strong> Report every year to call attention to key<br />

quality issues <strong>the</strong> United States faces <strong>and</strong> to drive improvement in <strong>the</strong> delivery <strong>of</strong> evidence-based<br />

medicine. This report documents performance trends over time, tracks variation in care <strong>and</strong><br />

recommends quality improvements.<br />

Thous<strong>and</strong>s <strong>of</strong> consumers, health insurance executives, benefits managers, policy makers,<br />

academics, consultants <strong>and</strong> journalists read this report. More than 1,000 health plans voluntarily<br />

disclose <strong>the</strong> clinical quality, customer experience <strong>and</strong> resource use data that are <strong>the</strong> report’s<br />

foundation. All data are rigorously audited. Consumer experience information is independently<br />

collected <strong>and</strong> verified.<br />

We commend all <strong>the</strong> health plans that contributed data for this report, <strong>and</strong> for <strong>the</strong> commitment<br />

to accountability <strong>and</strong> quality improvement that <strong>the</strong>y show in opting to disclose <strong>the</strong>ir performance<br />

results publicly.<br />

Electronic copies <strong>of</strong> this report are available free <strong>of</strong> charge at <strong>NCQA</strong>’s Web site, www.ncqa.org.<br />

Printed copies are available for purchase by calling 888-275-7585.<br />

We appreciate your interest in <strong>the</strong>se topics <strong>and</strong> welcome your feedback. you can reach us at<br />

communications@ncqa.org.<br />

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N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

ExECUTIVE SUMMARy<br />

The Healthcare Effectiveness Data <strong>and</strong> Information Set (HEDIS ® ) continually changes to capture<br />

better information <strong>and</strong> new medical knowledge <strong>and</strong> to reflect purchaser <strong>and</strong> consumer needs.<br />

HEDIS was developed by forward-thinking employers <strong>and</strong> quality experts in <strong>the</strong> late 1980s; since<br />

<strong>the</strong> early 1990s, it has been <strong>the</strong> national st<strong>and</strong>ard for health plan performance reporting. <strong>NCQA</strong>’s<br />

goal is for HEDIS measures to have strong evidence <strong>and</strong> be meaningful, valid <strong>and</strong> practical.<br />

With <strong>the</strong> addition <strong>of</strong> preferred provider organization (PPo) performance results to HEDIS, we<br />

can now compare PPos with HMos. We consider <strong>the</strong>se comparisons—some surprising, many<br />

encouraging—to be <strong>the</strong> key findings <strong>of</strong> this year’s State <strong>of</strong> Health Care <strong>Quality</strong> report.<br />

PPos on <strong>the</strong> rise, show <strong>the</strong>y Improve by Measuring, too<br />

With some exceptions, commercial HMo performance is typically higher than PPo performance.<br />

one reason may be that HMos have traditionally had more tools to manage care: care<br />

coordination processes, selective contracting <strong>and</strong> more bargaining power over providers.<br />

Differences in information collection or populations could be factors, as could benefit design.<br />

HMos usually have lower cost sharing for services than PPos, <strong>and</strong> higher PPo cost sharing<br />

might reduce use <strong>of</strong> recommended services. That said, some PPos <strong>of</strong>fered by health plans that<br />

also <strong>of</strong>fer HMos perform very well.<br />

Differences between HMos <strong>and</strong> PPos in how <strong>the</strong>y collect data for hybrid measures have<br />

traditionally made it difficult to compare results. but <strong>the</strong>re are indicators where PPos perform<br />

at virtually <strong>the</strong> same level as HMos—for example, in <strong>the</strong> Use <strong>of</strong> Appropriate Medications for<br />

Asthma measure. PPos are catching up on o<strong>the</strong>r measures, as well, by making bigger year-toyear<br />

gains.<br />

Interestingly, <strong>the</strong>re are also performance differences between commercial HMos <strong>and</strong> PPos for<br />

some patient experience measures. Many readers will recall that health plan members preferred<br />

PPos to HMos because <strong>of</strong> fewer restrictions <strong>and</strong> larger networks. In 2005, PPo members were<br />

more likely to give a high rating than HMo members were. but times have changed, <strong>and</strong> <strong>the</strong>re<br />

is a widening gap in performance: in 2010, HMo results were 6 percentage points higher than<br />

PPo results.<br />

The gap might be related to <strong>the</strong> rise in cost sharing—including deductibles—for PPos.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • E x E C U T I V E S U M M A R y<br />

one example where HMo results are higher than PPo results is in <strong>the</strong> share <strong>of</strong> members who<br />

rated <strong>the</strong>ir health plan a 9 or 10 on a 10-point scale.<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

fIgurE 1. PErCEntagE <strong>of</strong> CoMMErCIal HMo <strong>and</strong> PPo<br />

MEMbErs WHo ratE tHEIr Plan 9 or 10, 2005–2010<br />

2005 2006 2007 2008 2009 2010<br />

HMO PPO<br />

Performance patterns between Medicare HMos <strong>and</strong> PPos are quite different. While HMos<br />

outperform PPos on some measures, PPos outperform HMos on several o<strong>the</strong>rs, notably<br />

on measures related to drug <strong>the</strong>rapy <strong>and</strong> monitoring. for example, on Pharmacological<br />

Management <strong>of</strong> COPD—Systemic Corticosteroids, <strong>the</strong> average Medicare PPo rate is 69.6<br />

percent <strong>and</strong> <strong>the</strong> average Medicare HMo rate is 66.6 percent.<br />

Medicare has required HMos <strong>and</strong> PPos to report <strong>the</strong> same quality measures. The Medicare star<br />

rating system that will send additional payments to high-performing plans is neutral to whe<strong>the</strong>r<br />

a plan is a HMo or PPo. These policies may be driving higher PPo performance in Medicare.<br />

o<strong>the</strong>r reasons for higher PPo performance could be geographic differences or variations in <strong>the</strong><br />

nature <strong>of</strong> <strong>the</strong> participating PPos.<br />

9


10<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Comparisons across product line—Commercial, Medicaid <strong>and</strong> Medicare product measures<br />

reflect varying policy <strong>and</strong> population differences, but we can compare performance on measures<br />

reported by all product lines. on <strong>the</strong>se measures, Medicaid performance tends to be worse than<br />

commercial or Medicare performance. Exceptions are Chlamydia Screening for Women <strong>and</strong><br />

Persistence <strong>of</strong> Beta-Blocker Treatment After a Heart Attack. one reason for Medicaid’s lower<br />

performance might be that its population faces challenging economic circumstances; for example,<br />

transportation to doctor appointments may be an issue. Even though this pattern holds for <strong>the</strong><br />

overall population, we do see some Medicaid plans with very high performance, suggesting that<br />

some <strong>of</strong> <strong>the</strong> challenges <strong>of</strong> caring for this population may be surmountable.<br />

Medicare <strong>and</strong> commercial performance relative to each o<strong>the</strong>r varies by measure. Medicare<br />

outperforms commercial plans on several intermediate outcome measures <strong>and</strong> process measures.<br />

Comparison With last year’s findings<br />

Childhood immunizations—In last year’s State <strong>of</strong> Health Care <strong>Quality</strong> report, <strong>NCQA</strong> noted a<br />

significant drop in childhood immunizations in commercial health plans. This drop also appeared<br />

in <strong>the</strong> Centers for Disease Control <strong>and</strong> Prevention’s national data. Reasons for <strong>the</strong> drop include<br />

widespread concern about <strong>the</strong> (disproven) potential for some immunizations to lead to autism;<br />

o<strong>the</strong>r explanations were <strong>the</strong> rise in cost sharing <strong>and</strong> <strong>the</strong> economic downturn. The 2010 data do<br />

not show a full recovery for commercial health plans. The Combination 2 Childhood Immunization<br />

Rate for commercial HMos had a slight uptick, but <strong>the</strong> numbers were not statistically significant.<br />

Medicaid results held steady. There was a drop in <strong>the</strong> H influenza type b (Hib) immunization<br />

rate, which might have been caused by a temporary shortage <strong>of</strong> vaccine, <strong>and</strong> a small gain in <strong>the</strong><br />

polio (IPV) immunization rate.<br />

overall pattern 2009 to 2010—Although several measures showed important gains—including<br />

Colorectal Cancer Screening, Use <strong>of</strong> Spirometry Testing in <strong>the</strong> Assessment <strong>and</strong> Diagnosis <strong>of</strong> COPD<br />

<strong>and</strong> Pharmaco<strong>the</strong>rapy Management <strong>of</strong> COPD—many measures showed little meaningful change.<br />

Commercial <strong>and</strong> Medicare PPos displayed significant performance improvement <strong>and</strong> showed<br />

progress in closing <strong>the</strong> performance gap with HMos.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • E x E C U T I V E S U M M A R y<br />

HEdIs: responding to Evidence <strong>and</strong> to Purchaser needs<br />

Early quality measures were developed specifically for HMos, <strong>and</strong> focused on use <strong>of</strong> recommended<br />

services. Today, measures are reported by o<strong>the</strong>r types <strong>of</strong> health plans, as well as some fee-for-service<br />

(ffS) programs like Medicaid. Public payers (Medicare, Medicaid <strong>and</strong> <strong>the</strong> federal Employees Health<br />

benefit [fEHb] program) <strong>and</strong> private payers (including those in <strong>the</strong> Evalu8 tool) use HEDIS measures.<br />

Screening Rate<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

2001<br />

fIgurE 2. EyE ExaMs for dIabEtICs–MEdICarE<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

HMO PPO<br />

<strong>NCQA</strong> now specifies HEDIS measures for individual clinician <strong>and</strong> clinician groups, using<br />

both conventional data sources <strong>and</strong> electronic health records (EHR). HEDIS—<strong>the</strong> most widely<br />

used measures for ambulatory care—includes measures <strong>of</strong> outcome; measures <strong>of</strong> overuse <strong>and</strong><br />

resource use; <strong>and</strong> measures <strong>of</strong> care coordination.<br />

outcome measures—<strong>NCQA</strong> measures <strong>of</strong> outcome include “intermediate outcome measures” that<br />

reflect test results, as well as patient experience. They capture cholesterol control, blood pressure<br />

control <strong>and</strong> blood sugar (HbA1c) control in diabetics. Patient experience <strong>of</strong> care—measured<br />

through <strong>the</strong> Consumer Assessment <strong>of</strong> Healthcare Providers <strong>and</strong> Systems (CAHPS ® )—is ano<strong>the</strong>r<br />

important measure <strong>of</strong> outcome.<br />

2007<br />

2008<br />

2009<br />

2010<br />

11


top 10 <strong>and</strong> bottom 10 states<br />

“location, location, location” is not only <strong>the</strong> mantra <strong>of</strong> <strong>the</strong> real estate industry—it’s relevant to health<br />

care, too.<br />

Past editions <strong>of</strong> <strong>the</strong> State <strong>of</strong> Health Care <strong>Quality</strong> Report showed that quality varies by Census bureau<br />

region. This year’s analysis <strong>of</strong> top 10 <strong>and</strong> bottom 10 states is more specific: it shows that some states<br />

are outliers within <strong>the</strong>ir own regions.<br />

Cohort calculations <strong>of</strong> top 10, bottom 10 <strong>and</strong> middle 32 states include Puerto Rico <strong>and</strong> Washington,<br />

D.C. The calculations are based on mean rates <strong>of</strong> four measures: Comprehensive Diabetes Care<br />

(nine indicators), Controlling High Blood Pressure (one indicator), Persistence <strong>of</strong> Beta-Blocker<br />

Treatment After a Heart Attack <strong>and</strong> Cholesterol Management for Patients With Cardiovascular<br />

Conditions (two indicators).<br />

No state went from <strong>the</strong> top cohort to <strong>the</strong> bottom cohort (or vice versa) from 2009 to 2010.<br />

d<br />

12<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Top 10 cohort Middle 32 cohort<br />

bottom 10 cohort<br />

d<br />

d<br />

d<br />

d<br />

d d<br />

d<br />

d<br />

d<br />

d<br />

Rose to 2010 cohort from 2009<br />

fell to 2010 cohort from 2009<br />

d<br />

d<br />

d<br />

!<br />

d<br />

d d


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • E x E C U T I V E S U M M A R y<br />

<strong>Quality</strong> Measurement <strong>and</strong> <strong>the</strong> Million Hearts Initiative<br />

Gains in HEDIS measures relevant to heart disease provide momentum for CDC’s Million Hearts initiative.<br />

Millions Hearts launched in September 2011 <strong>and</strong> aims to prevent 1 million heart attacks in five years.<br />

Performance on six heart-related measures improved in <strong>the</strong> four years <strong>the</strong> measures held <strong>the</strong>ir<br />

current specifications—five improved by almost three percentage points. These steady gains<br />

confirm that what gets measured gets improved, especially when measurement becomes a habit<br />

that insurers sustain.<br />

Mean Rate<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1999<br />

2000<br />

* Measure respecification in 2005 accounts for some <strong>of</strong> <strong>the</strong> 2005-2006 performance change.<br />

overuse <strong>and</strong> resource use—HEDIS emerged during an era when consumers were concerned<br />

that HMos would deny needed care. Initial HEDIS measures focused on transparency around <strong>the</strong><br />

use <strong>of</strong> proven <strong>the</strong>rapies <strong>and</strong> preventive care.<br />

IMProvEMEnt In MEasurEs rElatEd<br />

to HEart dIsEasE—CoMMErCIal HMos<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008<br />

2009<br />

Cholesterol Management for Patients With Cardiovascular Conditions—LDL Cholesterol Screening<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—Advising Smokers <strong>and</strong><br />

Tobacco Users to Quit<br />

Persistence <strong>of</strong> Beta-Blocker Treatment After a Heart Attack<br />

Controlling High Blood Pressure*<br />

Cholesterol Management for Patients With Cardiovascular Conditions—LDL Control<br />

(


14<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

As health care spending skyrocketed <strong>and</strong> recognition <strong>of</strong> wasteful spending caught <strong>the</strong> nation’s<br />

attention, <strong>NCQA</strong> invested in measures to prevent overuse. Examples <strong>of</strong> <strong>the</strong>se measures are<br />

Imaging Studies for Low Back Pain <strong>and</strong> Avoidance <strong>of</strong> Antibiotic Treatments in Adults With Acute<br />

Bronchitis. <strong>NCQA</strong>’s Relative Resource Use measures help purchasers determine which plans<br />

provide <strong>the</strong> highest quality <strong>of</strong> care with <strong>the</strong> lowest use <strong>of</strong> resources.<br />

Care coordination—Many experts point to duplicate procedures <strong>and</strong> poor transitions between<br />

providers <strong>and</strong> settings as examples <strong>of</strong> wasteful spending <strong>and</strong> poor quality. Several HEDIS<br />

measures capture <strong>the</strong> results <strong>of</strong> care coordination <strong>and</strong> chronic disease management: Annual<br />

Monitoring <strong>of</strong> Patients on Persistent Medications <strong>and</strong> Follow-Up After Hospitalization for Mental<br />

Illness are two <strong>of</strong> <strong>the</strong>m.<br />

<strong>NCQA</strong> is also developing measures, st<strong>and</strong>ards <strong>and</strong> programs to assess <strong>and</strong> recognize care<br />

coordination <strong>and</strong> case management. <strong>NCQA</strong>’s Patient-Centered Medical Home (PCMH) program<br />

<strong>and</strong> new Accountable Care organization (ACo) program aim to improve care coordination.<br />

They target <strong>the</strong> clinical practices <strong>and</strong> delivery system levels.<br />

responding to <strong>the</strong> evidence—<strong>NCQA</strong> works with clinical experts to develop <strong>and</strong> revise HEDIS<br />

measures based on evidence. Measures start with guidelines grounded in robust findings. When<br />

<strong>the</strong> evidence base changes, so do <strong>the</strong> measures.<br />

HEdIs measures for clinicians—In response to requests for measures below <strong>the</strong> health plan<br />

level, <strong>NCQA</strong> collaborated with <strong>the</strong> American Medical Association to develop HEDIS physician<br />

measures that assess clinical performance <strong>of</strong> ambulatory practices. These measures are widely<br />

used in <strong>the</strong> Medicare Physician <strong>Quality</strong> Reporting System, <strong>the</strong> Meaningful Use programs <strong>and</strong><br />

<strong>NCQA</strong>’s Clinical Practice Recognition programs. The <strong>NCQA</strong> Diabetes Recognition program is<br />

supported by private sector initiatives, including <strong>the</strong> New york State Diabetes Campaign, led by<br />

<strong>the</strong> New york State Health foundation.<br />

EHr measures—<strong>NCQA</strong> is working closely with <strong>the</strong> <strong>of</strong>fice <strong>of</strong> <strong>the</strong> National Coordinator for Health<br />

Information Technology, <strong>the</strong> Centers for Medicare & Medicaid Services (CMS) <strong>and</strong> <strong>the</strong> National<br />

<strong>Quality</strong> forum (NQf) to translate HEDIS measures into electronic formats. EHRs will simplify<br />

reporting <strong>of</strong> quality measures. They have <strong>the</strong> potential to apply clinical logic, based on quality<br />

measures, to improve care in different settings. They also create opportunities for developing<br />

measures that were previously set aside because <strong>of</strong> <strong>the</strong> burden <strong>of</strong> data collection.


100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • E x E C U T I V E S U M M A R y<br />

fIgurE 3. trEnds In ColorECtal CanCEr sCrEEnIng<br />

for CoMMErCIal HMos, 2004–2010<br />

2004 2005 2006 2007 2008 2009 2010<br />

<strong>the</strong> Importance <strong>of</strong> Public reporting in Improving Health Plan Performance<br />

Many health plans have stepped up to <strong>the</strong> challenge <strong>of</strong> collecting, reporting performance data<br />

<strong>and</strong> being held accountable. Plans’ disclosure <strong>of</strong> quality information using reliable, audited,<br />

st<strong>and</strong>ardized measures helps purchasers <strong>and</strong> consumers learn which plans <strong>and</strong> clinicians have<br />

<strong>the</strong> best results. <strong>NCQA</strong> credits public reporting <strong>and</strong> plans’ commitment to improving for <strong>the</strong><br />

progress we have seen overall.<br />

The next section highlights significant gains in performance over time. our discussion focuses on<br />

commercial HMos, for which we have <strong>the</strong> longest series <strong>of</strong> data. We compare trends across plan<br />

types <strong>and</strong> product lines.<br />

<strong>of</strong> <strong>the</strong> 32 HEDIS Effectiveness <strong>of</strong> Care measures, 23 show clear trends <strong>of</strong> improvement. While<br />

year-to-year gains are <strong>of</strong>ten quite small, <strong>the</strong>y are steady over time. only one measure showed<br />

unmistakable signs <strong>of</strong> worsening—Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute Bronchitis.<br />

one example <strong>of</strong> progress is Colorectal Cancer Screening, with an almost 2 percentage point<br />

increase (to 62.6 percent) between 2009 <strong>and</strong> 2010 for commercial HMos. Introduced in 2004,<br />

15


16<br />

this measure has shown steady gains. Similar gains have transpired for Medicare HMos,<br />

although <strong>the</strong>y have not reached <strong>the</strong> same level overall.<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

fIgurE 4. trEnds In Hba1C sCrEEnIng for PEoPlE WItH<br />

dIabEtEs for CoMMErCIal HMos, 1999–2010<br />

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010<br />

HbA1c Screening for People With Diabetes, introduced with a suite <strong>of</strong> diabetes measures in<br />

1999, is ano<strong>the</strong>r example <strong>of</strong> growth. The screening rate has risen steadily over <strong>the</strong> past 11 years,<br />

progressing from 75 percent in 1999 to almost 90 percent in 2010 for commercial HMos. We<br />

have seen similar gains across HMos, PPos <strong>and</strong> product lines, with Medicare performing best.<br />

Performance on Medical Attention for Nephropathy has more than doubled for commercial<br />

HMos. from 36 percent in <strong>the</strong> first year, it rose to almost 84 percent in 2010. (The 2005<br />

addition <strong>of</strong> ACE/ARb <strong>the</strong>rapy to <strong>the</strong> measure’s qualifying criteria accounts for some <strong>of</strong> <strong>the</strong><br />

performance gain.) like <strong>the</strong> HbA1c screening measure, all plan types, in all product lines, have<br />

experienced gains. Medicare HMos had <strong>the</strong> strongest performance <strong>of</strong> all groups (89.2 percent)<br />

in 2010.


100<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • E x E C U T I V E S U M M A R y<br />

fIgurE 5. trEnds In MEdICal attEntIon for nEPHroPatHy for<br />

PEoPlE WItH dIabEtEs for CoMMErCIal HMos, 1999–2010<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010<br />

Health plans have shown steady increases on most consumer experience measures, which are based<br />

on a rating scale <strong>of</strong> 0–10. <strong>of</strong> seven CAHPS indicators, six showed consistent, gradual improvement.<br />

Health plans that report quality publicly <strong>and</strong> have earned <strong>NCQA</strong> Accreditation based on <strong>the</strong>ir<br />

performance should be applauded for achieving <strong>the</strong>se gains. Public <strong>and</strong> private purchasers,<br />

including Medicare, have contributed to this effort by <strong>of</strong>fering incentives for plans <strong>and</strong> providers<br />

to report <strong>and</strong> improve quality.<br />

Complementary policies can create even stronger improvement incentives. <strong>NCQA</strong> incorporates<br />

HEDIS results into accreditation levels <strong>and</strong> health plan rankings. Differentiating among health<br />

plans gives credit to <strong>the</strong> work <strong>of</strong> excellent performers—<strong>and</strong> signals <strong>the</strong> results to consumers <strong>and</strong><br />

purchasers.<br />

Even stronger incentives can flow from pay-for-performance programs, which are used by many<br />

Medicaid agencies <strong>and</strong> <strong>the</strong> Medicare Advantage (MA) program. Health plans with <strong>the</strong> best<br />

performance on quality might win additional payments; Medicaid plans might be assigned more<br />

17


18<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

members. Purchasers that want to expedite performance gains may want to create incentives<br />

around measures where <strong>the</strong>re has been little progress.<br />

Public reporting alone might not be a strong enough incentive to lead to change. The record on overuse<br />

measures is disappointing, <strong>and</strong> suggests o<strong>the</strong>r factors are at play. for example, we have seen virtually<br />

no change during <strong>the</strong> six-year history <strong>of</strong> Use <strong>of</strong> Imaging Studies for Low Back Pain. And although<br />

overuse <strong>of</strong> antibiotics leads to development <strong>of</strong> antibiotic-resistant strains <strong>of</strong> bacteria, performance on<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute Bronchitis has worsened, falling from almost<br />

29 percent (successful avoidance) to 22.5 percent for commercial HMos in 2010. one reason for this<br />

might be that providers have difficulty resisting patients’ dem<strong>and</strong> for a pill to address symptoms.<br />

Implications: a vision <strong>of</strong> High-value Health Plans<br />

In <strong>the</strong> 1990s, many policy makers thought health plans were <strong>the</strong> vehicle to better quality <strong>of</strong> care<br />

<strong>and</strong> lower costs. The notion <strong>of</strong> “managed competition” underpinned <strong>the</strong> Clinton health reform<br />

proposals. Proponents envisioned that health plans would compete on cost, <strong>and</strong> drive consumer<br />

choice through transparency. HMos would combine <strong>the</strong>ir insurance function with active<br />

management <strong>of</strong> patient care. Advocates saw opportunities to avoid emergency room use <strong>and</strong><br />

hospital care by improving benefit design, networks <strong>and</strong> o<strong>the</strong>r programs.<br />

What happened instead was “managed care backlash”: members rebelled against limited<br />

provider networks <strong>and</strong> utilization review. 1 And <strong>the</strong> rise <strong>of</strong> self-insured employers led to increased<br />

contracting with PPo networks, ra<strong>the</strong>r than with full-risk-bearing HMos.<br />

one big difference between earlier ideas about health reform <strong>and</strong> <strong>the</strong> 2010 Patient Protection<br />

<strong>and</strong> Affordable Care Act (PPACA) is an expectation that change should happen in <strong>the</strong> health<br />

care delivery system. The locus is <strong>the</strong> clinician’s <strong>of</strong>fice—<strong>and</strong>, to a lesser extent, <strong>the</strong> hospital.<br />

Programs like PCMH <strong>and</strong> <strong>the</strong> Meaningful Use <strong>of</strong> Health Information Technology (HIT) initiative<br />

push small practices to track patients’ care over time <strong>and</strong> across settings <strong>and</strong> to report <strong>and</strong><br />

benchmark <strong>the</strong>ir performance against quality measures derived from medical evidence.<br />

The ACo program reflects this vision on a larger scale. The model involves a collection <strong>of</strong><br />

clinician practices (<strong>and</strong> possibly hospitals) taking collective responsibility for improving patient<br />

care <strong>and</strong> lowering costs.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • E x E C U T I V E S U M M A R y<br />

Changes to payment incentives will allow organizations to share savings for reducing<br />

unnecessary care. Proponents hope ACos will invest in strategies <strong>and</strong> technologies to help<br />

patients manage chronic disease. The goal is to avoid emergency room <strong>and</strong> hospital care.<br />

Some might ask, if <strong>the</strong> delivery system embraces better coordination, patient management <strong>and</strong><br />

integration, why do we need health plans? How do health plans add value if physicians <strong>and</strong><br />

hospitals deliver better care?<br />

What can health plans do?<br />

It is worth noting that health plans will continue to be <strong>the</strong> entities holding insurance risk.<br />

organizations committed to delivery system innovations will likely be wary <strong>of</strong> holding full<br />

insurance risk <strong>and</strong> managing population health. Thus, health plans will continue to serve this<br />

important purpose for some payers.<br />

Health plans have experience managing insurance risk <strong>and</strong> are regulated by states to ensure<br />

stability <strong>and</strong> financial soundness. They hold reserves <strong>and</strong> have processes to account for claims<br />

that have been incurred but not recorded; <strong>the</strong>y can pool risk <strong>and</strong> access commercial reinsurance<br />

policies. They have data that enable analysis <strong>of</strong> services <strong>and</strong> use predictive modeling to target<br />

interventions—like case management—to high-risk populations.<br />

Health plans <strong>of</strong>fering coverage in Medicaid, Medicare <strong>and</strong> Exchanges (2014) will have to bear<br />

financial risk. They also will have roles in benefit <strong>and</strong> coverage design, as well as collecting <strong>and</strong><br />

reporting quality results.<br />

The following section describes a value agenda for health plans <strong>and</strong> suggests a vision for highvalue<br />

health plans. <strong>NCQA</strong> sees a strong role for health plans to nurture <strong>and</strong> promote changes at<br />

<strong>the</strong> delivery-system level.<br />

fostering delivery-system reforms—Health plans can lead or partner with o<strong>the</strong>r payers<br />

(employers, Medicaid, Medicare) to sponsor PCMH <strong>and</strong> ACo projects. They can change payment<br />

methods to encourage <strong>the</strong>se programs, set participation st<strong>and</strong>ards <strong>and</strong> <strong>of</strong>fer technical support.<br />

Health plans can also work with hospitals to implement safety initiatives <strong>and</strong> reduce readmissions.<br />

Health plans can provide data to practices to help <strong>the</strong>m manage <strong>and</strong> coordinate care. They can<br />

<strong>of</strong>fer incentives to invest in <strong>and</strong> use HIT, can explain <strong>the</strong> benefits <strong>of</strong> <strong>the</strong>se innovations to members<br />

<strong>and</strong> can identify participating providers.<br />

19


20<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

designing benefits <strong>and</strong> coverage—Most recent changes in benefit design have involved setting<br />

coverage limits <strong>and</strong> increasing cost sharing through higher deductibles. However, health plans<br />

<strong>and</strong> purchasers can collaborate to develop benefits that encourage members to select care that<br />

improves <strong>the</strong>ir health <strong>and</strong> deter members from using services that are dangerous or ineffective.<br />

An application <strong>of</strong> this idea is value-based insurance design. It reduces cost sharing for services<br />

with <strong>the</strong> greatest value; for example, proven preventive care <strong>and</strong> maintenance <strong>the</strong>rapies for chronic<br />

conditions. Ano<strong>the</strong>r example is reference pricing, which steers physicians <strong>and</strong> patients to <strong>the</strong> most<br />

effective treatments by tying reimbursement for an item or service to <strong>the</strong> price <strong>of</strong> <strong>the</strong> most effective<br />

treatment. less effective treatments are still covered by <strong>the</strong> plan, but members pay more for <strong>the</strong>m.<br />

Collecting data from claims, enrollment, patients <strong>and</strong> medical records—Health plans’ ability to<br />

aggregate data creates opportunities to report on care for <strong>the</strong>ir populations <strong>and</strong> for practices.<br />

because <strong>of</strong> <strong>the</strong>ir size <strong>and</strong> experience, health plans can manage a diverse group <strong>of</strong> patients<br />

across sites <strong>of</strong> care. 2 George Isham, medical director <strong>of</strong> Health Partners in Minnesota, identified<br />

key areas where health plans contribute:<br />

• Paying, collecting <strong>and</strong> aggregating bills. billing records describe patients’ conditions <strong>and</strong> <strong>the</strong><br />

care <strong>the</strong>y received. Combined with enrollment information from pharmacies <strong>and</strong> laboratories,<br />

<strong>and</strong> extracts from medical records, <strong>the</strong>se records form <strong>the</strong> basis <strong>of</strong> quality measurement.<br />

• Collecting data <strong>and</strong> using it to inform <strong>the</strong> three-part aim in <strong>the</strong> National <strong>Quality</strong> Strategy<br />

(better care, healthy people/healthy communities <strong>and</strong> affordable care). Plans know how to<br />

turn information into quality measures.<br />

• Cultivating transparency <strong>and</strong> displaying information for <strong>the</strong> public. Hospitals <strong>and</strong> nursing homes<br />

are becoming accustomed to transparency, but it is still rare among physicians <strong>and</strong> in outpatient<br />

settings. Small numbers <strong>and</strong> a lack <strong>of</strong> specialty care measures have hindered progress.<br />

Physicians <strong>and</strong> <strong>the</strong>ir representatives have not embraced public performance reporting.<br />

• Developing quality improvement projects. Health plans have significant experience helping<br />

providers improve care.<br />

• Collaborating to develop innovations in performance measurement <strong>and</strong> data analysis. Health<br />

plans have had success identifying high-risk patients <strong>and</strong> deploying inventive case management.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • E x E C U T I V E S U M M A R y<br />

Putting <strong>the</strong> network toge<strong>the</strong>r—ACos may eventually become health plans. Short <strong>of</strong> that, <strong>the</strong>y<br />

may serve as <strong>the</strong> provider network for an employer- or provider-sponsored Medicare Advantage<br />

or Medicaid plan. but many purchasers need to <strong>of</strong>fer coverage across a state—or even across<br />

<strong>the</strong> country—<strong>and</strong> health plans must assemble entire networks to meet this need.<br />

Health plans can use cost sharing to guide patients to high-value hospitals <strong>and</strong> providers. They<br />

can identify hospitals that are “Centers <strong>of</strong> Excellence” for treating high-cost or high-risk conditions.<br />

Then, <strong>the</strong>y can make <strong>the</strong>m preferred providers with <strong>the</strong> lowest cost sharing for patients. This<br />

approach could also reward hospitals or o<strong>the</strong>r providers that have strong patient safety records.<br />

The high-value plan <strong>of</strong> <strong>the</strong> future should rely heavily on value metrics to select its network.<br />

Ensuring that members have access to physicians with good credentials is an important part <strong>of</strong><br />

consumer protection—<strong>and</strong> <strong>of</strong> <strong>NCQA</strong> Health Plan Accreditation. but excellent health plans must<br />

also measure <strong>the</strong> performance <strong>of</strong> providers. They must use that information to build networks <strong>and</strong><br />

report <strong>the</strong> information to consumers.<br />

activating patients—because health plans will continue to hold risk <strong>and</strong> enroll members, <strong>the</strong>y<br />

are uniquely situated to connect with patients <strong>and</strong> make <strong>the</strong>m active partners in <strong>the</strong>ir health <strong>and</strong><br />

wellness. Plans could pursue <strong>the</strong> following strategies to engage patients.<br />

• Conduct wellness <strong>and</strong> health promotion through health appraisals <strong>and</strong> o<strong>the</strong>r strategies. Use<br />

financial incentives to encourage participation in programs designed to improve health.<br />

Smoking cessation <strong>and</strong> weight loss are two examples.<br />

• Incorporate benefit design incentives that promote <strong>the</strong> best care <strong>and</strong> providers.<br />

• Publicly report provider performance <strong>and</strong> involvement in delivery system reforms.<br />

• Provide members with incentives to use decision aids to choose <strong>the</strong>rapies.<br />

• Cover palliative <strong>and</strong> end-<strong>of</strong>-life care <strong>and</strong> implement strategies to ensure that providers know<br />

<strong>and</strong> follow patient preferences <strong>and</strong> decisions.<br />

• Survey enrollees about <strong>the</strong>ir experiences <strong>and</strong> how <strong>the</strong>y rate providers. Then, use this<br />

information to provide feedback to physicians <strong>and</strong> construct networks.<br />

• Make o<strong>the</strong>r options available to patients who opt out <strong>of</strong> ACos.<br />

21


22<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Health plans serving low-income patients <strong>and</strong> those with multiple chronic conditions also can invest<br />

in care management, which concentrates <strong>the</strong> focus on providing or connecting patients to health<br />

care <strong>and</strong> o<strong>the</strong>r service providers. While some <strong>of</strong> this work is moving to <strong>the</strong> delivery system, small<br />

clinical practices may not have <strong>the</strong> resources to invest in dedicated staff to do this work; health<br />

plans can ei<strong>the</strong>r provide it or make available care coordination to share across multiple practices.<br />

How do we get health plans to high value?<br />

<strong>NCQA</strong>’s experience has demonstrated that “what gets measured gets improved.” Many <strong>of</strong> our<br />

expectations for health plans could be turned into performance measures or st<strong>and</strong>ards, allowing<br />

health plans to review programs <strong>and</strong> policies against clear, detailed program elements.<br />

We have developed several programs that let high-performing health plans earn <strong>NCQA</strong><br />

Recognition or <strong>NCQA</strong> Distinction. Most recently we created a distinction program for plans<br />

committed to improving multicultural care.<br />

Pay for performance might be successful in fur<strong>the</strong>ring <strong>the</strong> value agenda by awarding higher<br />

payments to plans that demonstrate high value. Many state Medicaid agencies have such<br />

programs; <strong>the</strong> Medicare Advantage program will soon, as well. Measures <strong>of</strong> health plan value<br />

could be added to that program or used to give health plans extra credit.<br />

Additionally, <strong>the</strong> Exchanges created by <strong>the</strong> PPACA could direct participants into plans that <strong>of</strong>fer<br />

value. High-value plans could be visibly rewarded on <strong>the</strong> Exchanges’ report cards—or listed<br />

prominently on <strong>the</strong> national Web portal.<br />

Information about high-value plans could be presented when consumers are first comparing<br />

plans. However, Exchanges must be mindful <strong>of</strong> “choice fatigue,” which can result from<br />

consumers’ having too much information <strong>and</strong> too many options. Exchanges can be architects<br />

<strong>of</strong> choice that guide people toward better value <strong>and</strong> quality, but <strong>the</strong> success <strong>of</strong> health reform<br />

depends on galvanizing consumers, not overwhelming <strong>the</strong>m.<br />

Regardless <strong>of</strong> <strong>the</strong> specific approach, policy makers <strong>and</strong> purchasers should seize opportunities to<br />

work with health plans. Collaboration can improve health care <strong>and</strong> markets.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • E x E C U T I V E S U M M A R y<br />

Conclusion<br />

The Dartmouth Group has shown that cost <strong>and</strong> quality do not have to be a trade-<strong>of</strong>f, but how do<br />

we get to affordable, quality health care?<br />

We must focus on buying value in health care, but <strong>the</strong> politics are challenging. our current marketplace<br />

is fractured; providers have different approaches for working with each sector. Patients are confused<br />

<strong>and</strong> vulnerable, <strong>and</strong> appeals to <strong>the</strong>ir fears have succeeded. It is challenging in this environment to<br />

implement strong, synchronized strategies to improve coordination <strong>and</strong> delivery <strong>of</strong> care.<br />

Health plans can be drivers <strong>of</strong> improvements to cost <strong>and</strong> quality in health care markets. As<br />

“market makers,” <strong>the</strong>y should pursue strategies to activate <strong>and</strong> engage members.<br />

leading-edge health plans devote significant resources to keeping <strong>the</strong>ir members healthy. Health<br />

plans need to construct “value choices” at <strong>the</strong> provider level so patients do not overpay <strong>and</strong> are<br />

not over-treated or victims <strong>of</strong> medical errors. <strong>NCQA</strong>’s objective in seeking a value agenda is<br />

to advance <strong>the</strong> triple aim—improving <strong>the</strong> individual’s experience <strong>of</strong> care <strong>and</strong> <strong>the</strong> population’s<br />

health, <strong>and</strong> reducing <strong>the</strong> overall cost <strong>of</strong> care.<br />

Ultimately, consumers hold <strong>the</strong> power to reshape insurance markets. The concept <strong>of</strong> a new insurance<br />

marketplace, facilitated by Exchanges, flows from <strong>the</strong> premise that consumers will be motivated to<br />

compare health plans. Measures based on CAHPS <strong>and</strong> HEDIS are a logical place to start.<br />

EndnotEs<br />

1. Draper, D.A., R.E. Hurley, C.S. lesser, b.C. Strunk. 202. The Changing face <strong>of</strong> Managed Care. Health Affairs, Jan-feb;21(1):11–23.<br />

2. Enthoven, A. 1993. The History <strong>and</strong> Principles <strong>of</strong> Managed Competition. Health Affairs, Vol 12, Supplement 1, 24–48.<br />

23


24<br />

HEDIS MEASURES <strong>of</strong> CARE<br />

about HEdIs<br />

The Healthcare Effectiveness Data <strong>and</strong> Information Set (HEDIS) is a tool used by most HMos <strong>and</strong><br />

PPos plans to measure performance on important dimensions <strong>of</strong> care <strong>and</strong> service. by providing<br />

objective, clinical performance data measures against a detailed set <strong>of</strong> measurement criteria,<br />

HEDIS helps purchasers <strong>and</strong> consumers compare health plans’ performance.<br />

HEDIS measures address a broad range <strong>of</strong> important health issues:<br />

• Antibiotic use<br />

• Asthma<br />

• breast, cervical <strong>and</strong> colorectal cancers<br />

• Care for older adults<br />

• Childhood immunizations<br />

• Cholesterol management<br />

HEDIS includes <strong>the</strong> Consumer Assessment <strong>of</strong> Healthcare Providers <strong>and</strong> Systems (CAHPS) 4.0<br />

Survey. The CAHPS survey measures members’ experiences with <strong>the</strong>ir health care in areas such<br />

as claims processing <strong>and</strong> getting needed care quickly, <strong>and</strong> asks <strong>the</strong>m to rate <strong>the</strong>ir health plan on<br />

a scale <strong>of</strong> 0–10.<br />

HEDIS 2011 data collected for this report generally reflect services delivered during calendar<br />

year 2010. To ensure validity <strong>of</strong> HEDIS results, certified analysts rigorously audit all data, using<br />

a process <strong>NCQA</strong> designed. See <strong>the</strong> appendices for more details about national averages <strong>and</strong><br />

performance trends.<br />

Hos Measures<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

• Diabetes<br />

• High blood pressure<br />

• Medication management<br />

• Mental illness<br />

• Smoking<br />

• Prenatal <strong>and</strong> postpartum care<br />

Medicare Health outcomes Survey (HoS) measures evaluate <strong>the</strong> physical <strong>and</strong> mental health<br />

<strong>of</strong> seniors enrolled in Medicare <strong>and</strong> are <strong>the</strong> first patient-based self-report <strong>of</strong> health status as a<br />

measure <strong>of</strong> quality <strong>of</strong> care in elderly populations. Including HoS in HEDIS measurement creates<br />

a broader scope <strong>of</strong> measures to evaluate <strong>the</strong> quality <strong>of</strong> care provided by health plans for <strong>the</strong><br />

Medicare population. Included in this report are four HoS measures:


• fall Risk Management<br />

• Management <strong>of</strong> Urinary Incontinence in older Adults<br />

• osteoporosis Testing in older Adults<br />

• Physical Activity in older Adults.<br />

terms<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E 25<br />

NA: Measure rates have no available data. In some instances, data are not collected for a<br />

measure in a product line.<br />

Rate: The statistical mean for reported data. Each measure is described by an average rate for<br />

each applicable product line.<br />

a note on Medicare survey data<br />

Medicare CAHPS survey data <strong>of</strong> consumer experience <strong>and</strong> HEDIS measures collected through<br />

<strong>the</strong> survey (such as flu Shots for Adults <strong>and</strong> Medical Assistance With Smoking <strong>and</strong> Tobacco<br />

Use Cessation) are not available when <strong>NCQA</strong> prints <strong>the</strong> State <strong>of</strong> Health Care <strong>Quality</strong> Report<br />

in September. <strong>NCQA</strong> will issue an updated version <strong>of</strong> this report that includes those data in<br />

November.


S A f E T y A N D P o T E N T I A l W A S T E<br />

26<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

AVoIDANCE <strong>of</strong> ANTIbIoTIC TREATMENT<br />

IN ADUlTS WITH ACUTE bRoNCHITIS<br />

Acute bronchitis clinically presents as a cough lasting more than five days (typically, from<br />

one to three weeks). About 90 percent <strong>of</strong> cases are caused by a virus. 1,2 The Avoidance <strong>of</strong><br />

Antibiotic Treatment in Adults With Acute Bronchitis measure evaluates whe<strong>the</strong>r adults were<br />

treated appropriately by not receiving antibiotics, which are not indicated <strong>and</strong> may contribute to<br />

antibiotic resistance.<br />

• Acute bronchitis affects approximately<br />

5 percent <strong>of</strong> U.S. adults annually <strong>and</strong><br />

continues to rank among <strong>the</strong> top 10<br />

conditions for which patients seek treatment<br />

in clinical settings. 1<br />

• Antibiotics are prescribed in more than 60<br />

percent <strong>of</strong> bronchitis cases; <strong>of</strong> those, 80<br />

percent were unnecessary, according to <strong>the</strong><br />

Centers for Disease Control <strong>and</strong> Prevention<br />

(CDC) guidelines. 1,2 Antibiotic treatment<br />

is not usually appropriate for acute<br />

bronchitis, with <strong>the</strong> exception <strong>of</strong> comorbid<br />

diseases requiring antibiotics. 3<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• More than $1.1 billion is spent annually<br />

on unnecessary antibiotics for respiratory<br />

infections in adults. 4<br />

• Treating drug-resistant pathogens poses<br />

a significant burden on <strong>the</strong> system<br />

through repeated health care visits <strong>and</strong><br />

greater risk <strong>of</strong> disease complications <strong>and</strong><br />

hospitalizations—which lead to increased<br />

health care costs. 5,6<br />

• Diminished effectiveness <strong>of</strong> antibiotics<br />

against bacterial infections, particularly<br />

for use in patients who may need <strong>the</strong>m<br />

to fight future, life-threatening bacterial<br />

infections, poses a significant public health<br />

concern. When resistance makes widelyused<br />

antibiotics ineffective, an alternative<br />

treatment may not be available, 7 or<br />

physicians may use more potent antibiotics,<br />

which are <strong>of</strong>ten more toxic <strong>and</strong> more<br />

expensive. This can result in longer hospital<br />

stays, more serious side effects <strong>and</strong><br />

increased financial burden on <strong>the</strong> system<br />

<strong>and</strong> on patients. 8<br />

HEdIs Measure definition<br />

This measure assesses <strong>the</strong> percentage <strong>of</strong><br />

adults 18–64 years <strong>of</strong> age with a diagnosis <strong>of</strong><br />

acute bronchitis who were not dispensed an<br />

antibiotic prescription on or three days after<br />

an episode. A higher rate indicates better<br />

performance.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

results<br />

Antibiotic treatment is only infrequently<br />

appropriate for acute bronchitis. Misuse<br />

or overuse can be avoided by prescribing<br />

treatment when necessary, as well as<br />

informing patients <strong>and</strong> clinicians regarding<br />

<strong>the</strong> appropriate use <strong>of</strong> antibiotics.<br />

yEAR<br />

trEatMEnt ratE<br />

27<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 22.5 21.3 NA NA 23.5<br />

2009 24.0 22.6 NA NA 25.6<br />

2008 24.6 26.8 NA NA 25.8<br />

2007 25.4 29.3 NA NA 25.9<br />

2006 28.7 29.7 NA NA 28.0<br />

S A f E T y A N D P o T E N T I A l W A S T E


S A f E T y A N D P o T E N T I A l W A S T E<br />

28<br />

back pain is one <strong>of</strong> America’s most common medical problems. An estimated 75 percent–85<br />

percent <strong>of</strong> Americans will experience back pain at some point, 1 <strong>and</strong> approximately 25 percent<br />

<strong>of</strong> Americans will experience at least one day <strong>of</strong> back pain during any three-month period. 2<br />

Although imaging is used to diagnose <strong>the</strong> cause <strong>of</strong> low back pain, it is costly <strong>and</strong> ineffective. less<br />

than 1 percent <strong>of</strong> radiographs identify a specific cause <strong>of</strong> low back pain. 3 The Use <strong>of</strong> Imaging<br />

Studies for Low Back Pain measure assesses <strong>the</strong> number <strong>of</strong> patients with lower back pain who did<br />

not get an x-ray, MRI or CT scan as part <strong>of</strong> <strong>the</strong>ir treatment.<br />

• Although a variety <strong>of</strong> minor injuries <strong>and</strong><br />

conditions can lead to back pain, most<br />

acute low back pain is benign <strong>and</strong> selflimiting.<br />

Imaging studies are not required<br />

for diagnosis. 8<br />

• Studies have shown that patients treated<br />

without imaging experience no difference<br />

in health outcomes. 4,5 Abnormalities<br />

discovered through imaging were as<br />

common in individuals without back pain<br />

as <strong>the</strong>y were in individuals with low back<br />

pain. 4<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

USE <strong>of</strong> IMAGING STUDIES foR loWER bACk PAIN<br />

• Imaging for early, acute low back pain<br />

can lead to surgery. Complications from<br />

unnecessary surgery can prolong back<br />

pain or lead to permanent disability. 5<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• on average, patients with low back pain<br />

have higher overall medical costs. Patients<br />

with back pain spend an average <strong>of</strong><br />

$7,211, while comparable patients without<br />

back pain spend an average <strong>of</strong> $2,400<br />

over a two-year period. Patients with low<br />

back pain who opt for surgery incur an<br />

average <strong>of</strong> $34,000 in direct medical costs. 8<br />

• According to <strong>the</strong> Agency for Healthcare<br />

Research <strong>and</strong> <strong>Quality</strong> (AHRQ), almost<br />

18,000 Americans sought medical attention<br />

for low back pain in 2008. Additionally,<br />

medical care for <strong>the</strong>se individuals cost<br />

approximately $35 billion dollars, with<br />

imaging driving much <strong>of</strong> <strong>the</strong> cost. 6,7


HEdIs Measure definition<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

The percentage <strong>of</strong> adults with a primary<br />

diagnosis <strong>of</strong> low back pain who did not have<br />

an imaging study (plain x-ray, MRI or CT<br />

scan) within 28 days <strong>of</strong> <strong>the</strong> diagnosis.<br />

results<br />

With <strong>the</strong> use <strong>of</strong> costly imaging studies failing<br />

to produce positive health outcomes for<br />

patients with low back pain, x-ray, MRI <strong>and</strong><br />

CT scans should primarily be used for patients<br />

with neurologic deficits or o<strong>the</strong>r serious<br />

underlying conditions.<br />

yEAR<br />

IMagIng studIEs for<br />

loW baCk PaIn<br />

29<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 74.2 73.3 NA NA 75.5<br />

2009 73.9 72.7 NA NA 76.1<br />

2008 73.1 72.3 NA NA 75.7<br />

2007 74.6 73.3 NA NA 77.3<br />

2006 73.9 72.1 NA NA 78.3<br />

2005 75.4 72.6 NA NA 79.0<br />

S A f E T y A N D P o T E N T I A l W A S T E


S A f E T y A N D P o T E N T I A l W A S T E<br />

30<br />

RElATIVE RESoURCE USE<br />

NCQa’s Relative Resource Use (RRU) measures indicate how intensively health plans use heath<br />

care resources (e.g., doctor visits, hospital stays, surgery, drugs) compared with o<strong>the</strong>r plans<br />

in <strong>the</strong> same region, adjusted for <strong>the</strong> population <strong>of</strong> members <strong>the</strong>y serve. When combined with<br />

NCQa heDiS quality measures, rru measures reveal value.<br />

RRU measures help health care purchasers identify health plans that deliver high-quality care while<br />

managing associated costs. The table below is a hypo<strong>the</strong>tical example <strong>of</strong> RRU results for plans in<br />

one region for patients with diabetes. Scores above 1.0 indicate higher-than-average use, while<br />

scores below 1.0 indicate lower-than-average use. In this example, Plan D is highlighted because<br />

it <strong>of</strong>fers an appealing combination <strong>of</strong> above-average quality <strong>and</strong> below-average resource use.<br />

Plan<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HyPotHEtICal dIabEtEs rru In a sInglE rEgIon<br />

<strong>Quality</strong><br />

score<br />

Combined<br />

Medical<br />

diabetes Medical resource use<br />

Inpatient<br />

Hospital<br />

Evaluation &<br />

Management<br />

surgery &<br />

Procedures<br />

rx drugs<br />

Plan A 1.06 1.14 1.32 1.00 0.89 1.14<br />

Plan b 1.10 0.85 0.96 0.74 0.73 1.12<br />

Plan C 1.10 0.80 0.84 0.79 0.71 1.16<br />

Plan D 1.14 0.74 0.77 0.85 0.56 1.13<br />

Plan E 0.97 0.73 0.79 0.76 0.54 1.19<br />

<strong>NCQA</strong> collects RRU data for five conditions that account for more than 60 percent <strong>of</strong> all health<br />

spending: asthma, cardiovascular disease, CoPD, diabetes <strong>and</strong> hypertension. overall, RRU measures<br />

reveal that <strong>the</strong> amount <strong>of</strong> services used to treat people <strong>of</strong>ten has little correlation to <strong>the</strong> quality <strong>of</strong> care.<br />

To allow fair comparison <strong>of</strong> plans, RRU measures feature risk adjustment <strong>and</strong> price<br />

st<strong>and</strong>ardization <strong>of</strong> services. The goal <strong>of</strong> risk adjustment is to eliminate sources <strong>of</strong> variation that<br />

nei<strong>the</strong>r health plans nor providers can control. factors used in risk adjustment include age,<br />

gender <strong>and</strong> presence <strong>of</strong> o<strong>the</strong>r serious health conditions. St<strong>and</strong>ardized prices are assigned to<br />

each unit <strong>of</strong> service delivered to health plan members <strong>and</strong> reported by service category (e.g.,<br />

inpatient hospital care, evaluation <strong>and</strong> management, surgery <strong>and</strong> o<strong>the</strong>r procedures, diagnostic<br />

lab <strong>and</strong> imaging, prescription drugs) for each <strong>of</strong> <strong>the</strong> five conditions.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

looking at quality <strong>and</strong> resource use scores toge<strong>the</strong>r, purchasers should be most interested in<br />

plans that are high in quality <strong>and</strong> low in resource use. As depicted in <strong>the</strong> following scatterplots,<br />

scores that place health plans in <strong>the</strong> upper left quadrant are generally considered most desirable<br />

(above-average quality, below-average resource use). Health plans in <strong>the</strong> lower right quadrant<br />

are less desirable (below-average quality, above-average resource use).<br />

This report focuses on <strong>the</strong> three rru measures where discrepancies between plans’<br />

resource use <strong>and</strong> resulting quality are most pronounced: hypertension, diabetes <strong>and</strong> certain<br />

cardiovascular conditions. We do not show commercial rru scatterplots because <strong>the</strong>y have<br />

changed little since last year’s State <strong>of</strong> Health Care <strong>Quality</strong> Report <strong>and</strong> are available in NCQa’s<br />

<strong>Quality</strong> Compass product. Conversely, we show Medicare <strong>and</strong> Medicaid results because we<br />

did not do so in last year’s report, <strong>and</strong> because <strong>the</strong> data are not available in <strong>Quality</strong> Compass.<br />

upcoming refinements to rru<br />

• Updated Risk Adjustment Approach: NCQa moved to an improved risk adjustment<br />

approach that was adapted from <strong>the</strong> Center for Medicare & Medicaid Service’s (CMS)<br />

hierarchical Condition Category (hCC) case-mix adjustment approach. The revised risk<br />

adjustment considers disease severity <strong>and</strong> number <strong>of</strong> comorbidities, in addition to o<strong>the</strong>r<br />

factors that inform <strong>the</strong> cost <strong>of</strong> care delivered to health plan members.<br />

• Measure Enhancement: NCQa exp<strong>and</strong>ed its measurement <strong>of</strong> specific procedures,<br />

particularly for diabetes <strong>and</strong> cardiovascular care, to provide plans with actionable<br />

information about <strong>the</strong> frequently performed services that significantly contribute to resource<br />

use. examples <strong>of</strong> <strong>the</strong>se procedures include cardiac ca<strong>the</strong>terization; carotid artery stenosis<br />

diagnostic tests; electron beam computed tomography <strong>and</strong> nuclear imaging stress tests<br />

for coronary artery disease; <strong>and</strong> cardiac computed tomography screening. reporting risk<br />

adjusted utilization <strong>of</strong> <strong>the</strong>se services, alongside cost information, is expected to increase<br />

meaning <strong>and</strong> actionability <strong>of</strong> measure results.<br />

• Pharmacy Prescription Utilization: To provide more detail for <strong>the</strong> prescription drugs service<br />

category, NCQa added generic <strong>and</strong> name-br<strong>and</strong> utilization rates to <strong>the</strong> five measures.<br />

Compared with <strong>the</strong> previous format, <strong>the</strong> data now capture how well a plan manages its<br />

pharmacy costs with respect to generic, br<strong>and</strong>-name <strong>and</strong> multisource drugs.<br />

31<br />

S A f E T y A N D P o T E N T I A l W A S T E


S A f E T y A N D P o T E N T I A l W A S T E<br />

32<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

<strong>Quality</strong> (Indexed Ratio)<br />

<strong>Quality</strong> (Indexed Ratio)<br />

1.5<br />

1<br />

0.5<br />

MEdICarE HMos: dIabEtEs<br />

0.5 1<br />

RRU (Indexed Ratio)<br />

1.5<br />

1.5<br />

1<br />

0.5<br />

MEdICarE PPos: dIabEtEs<br />

0.5 1<br />

RRU (Indexed Ratio)<br />

1.5


<strong>Quality</strong> (Indexed Ratio)<br />

<strong>Quality</strong> (Indexed Ratio)<br />

1.5<br />

1<br />

0.5<br />

1.5<br />

1<br />

0.5<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

MEdICarE HMos: CardIovasCular CondItIons<br />

0.5 1 1.5<br />

RRU (Indexed Ratio)<br />

MEdICarE PPos: CardIovasCular CondItIons<br />

0.5 1 1.5<br />

RRU (Indexed Ratio)<br />

33<br />

S A f E T y A N D P o T E N T I A l W A S T E


S A f E T y A N D P o T E N T I A l W A S T E<br />

34<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

<strong>Quality</strong> (Indexed Ratio)<br />

<strong>Quality</strong> (Indexed Ratio)<br />

1.5<br />

1<br />

0.5<br />

1.5<br />

1<br />

MEdICarE HMos: HyPErtEnsIon<br />

0.5 1 1.5<br />

RRU (Indexed Ratio)<br />

MEdICarE PPos: HyPErtEnsIon<br />

0.5<br />

0.5 1 1.5<br />

RRU (Indexed Ratio)


<strong>Quality</strong> (Indexed Ratio)<br />

<strong>Quality</strong> (Indexed Ratio)<br />

<strong>Quality</strong> (Indexed Ratio)<br />

1.5<br />

1<br />

0.5<br />

1.5<br />

1<br />

0.5<br />

1.5<br />

1<br />

0.5<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

MEdICaId HMos: dIabEtEs<br />

0.5 1 1.5<br />

RRU (Indexed Ratio)<br />

MEdICaId HMos: CardIovasCular CondItIons<br />

0.5 1 1.5<br />

RRU (Indexed Ratio)<br />

MEdICaId HMos: HyPErtEnsIon<br />

0.5 1 1.5<br />

RRU (Indexed Ratio)<br />

35<br />

S A f E T y A N D P o T E N T I A l W A S T E


W E l l N E S S A N D P R E V E N T I o N<br />

36<br />

obesity is responsible for more deaths in <strong>the</strong> U.S. than AIDS, all cancers <strong>and</strong> all accidents<br />

combined. 1 Individuals are identified as being overweight or obese if <strong>the</strong>ir weight range is greater<br />

than is generally considered healthy for <strong>the</strong>ir height. 2 obesity is measured by body mass index<br />

(bMI), which estimates body fat <strong>and</strong> gauges risk for high body-fat diseases. 3 The Adult Body<br />

Mass Index Assessment measure evaluates <strong>the</strong> percentage <strong>of</strong> adults who have <strong>the</strong>ir bMI measured<br />

regularly to assess <strong>the</strong>ir risk for overweight or obesity, <strong>and</strong>/or risk for related health complications.<br />

• According to <strong>the</strong> Centers for Disease<br />

Control <strong>and</strong> Prevention (CDC), more than<br />

two-thirds <strong>of</strong> U.S. adults are overweight<br />

or obese <strong>and</strong> more than one-third are<br />

considered obese. 4<br />

• overweight <strong>and</strong> obesity occur from<br />

consuming too many calories <strong>and</strong> not<br />

engaging in enough physical activity to<br />

compensate. This can be <strong>the</strong> result <strong>of</strong> a<br />

number <strong>of</strong> factors, including behavior,<br />

environment, culture <strong>and</strong> socioeconomic<br />

status. Genes <strong>and</strong> metabolism can also<br />

affect weight. 5<br />

• As few as 31 percent <strong>of</strong> U.S. adults report<br />

that <strong>the</strong>y participate in regular leisuretime<br />

physical activity: three sessions per<br />

week <strong>of</strong> vigorous physical activity lasting<br />

20 minutes or more, or five sessions per<br />

week <strong>of</strong> light-to-moderate physical activity<br />

lasting 30 minutes or more. Approximately<br />

40 percent report no leisure-time physical<br />

activity. 4<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

ADUlT bMI ASSESSMENT<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• According to a 2009 study by <strong>the</strong><br />

CDC <strong>and</strong> RTI International, a research<br />

organization, 6 <strong>the</strong> direct <strong>and</strong> indirect<br />

cost <strong>of</strong> obesity is more than $147 billion<br />

annually. obese patients spend 42 percent<br />

more for <strong>the</strong>ir medical care than those in a<br />

healthy weight range—an average $1,429<br />

more per year. The study found that<br />

Medicare, Medicaid <strong>and</strong> private insurers<br />

increased spending due to obesity from 6.5<br />

percent in 1998 to 9.1 percent in 2006.<br />

This amounts to a $40 billion increase in<br />

medical sending through 2006, including a<br />

$7 billion increase in Medicare prescription<br />

drug costs. 7<br />

• obesity can cause a number <strong>of</strong> serious<br />

medical conditions, including type 2<br />

diabetes, heart disease <strong>and</strong> high blood<br />

pressure, <strong>and</strong> increases <strong>the</strong> risk <strong>of</strong> strokes<br />

<strong>and</strong> certain types <strong>of</strong> cancers. 8


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

• obese men are more likely to develop<br />

cancer <strong>of</strong> <strong>the</strong> colon, rectum or prostate;<br />

obese women are more likely to develop<br />

cancer <strong>of</strong> <strong>the</strong> gallbladder, uterus, cervix or<br />

ovaries. 8<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> adults 18–74 years <strong>of</strong> age<br />

who had an outpatient visit <strong>and</strong> who had <strong>the</strong>ir<br />

bMI documented during <strong>the</strong> measurement year<br />

or <strong>the</strong> year prior to <strong>the</strong> measurement year.<br />

results<br />

Weight loss <strong>and</strong> physical activity are<br />

recommended for people who are overweight<br />

or obese. losing 5 percent–10 percent <strong>of</strong><br />

body weight will help lower an obese person’s<br />

risk <strong>of</strong> developing diseases associated with<br />

obesity. 4<br />

yEAR<br />

assEssMEnt ratE<br />

37<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 40.7 11.6 50.4 36.6 42.2<br />

2009 41.3 15.7 38.8 24.1 34.6<br />

W E l l N E S S A N D P R E V E N T I o N


W E l l N E S S A N D P R E V E N T I o N<br />

38<br />

• flu especially affects <strong>the</strong> health <strong>of</strong> people<br />

50–64 2 years <strong>of</strong> age. one third <strong>of</strong> all<br />

Americans 50–64 have one or more<br />

chronic medical conditions that puts<br />

<strong>the</strong>m at increased risk for serious flu<br />

complications. 3<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

flU SHoTS foR ADUlTS<br />

Each year, 5 percent–20 percent <strong>of</strong> Americans contract influenza (flu). More than 200,000<br />

people are hospitalized from flu-related complications, which include pneumonia, dehydration<br />

<strong>and</strong> deterioration <strong>of</strong> chronic health conditions, such as heart failure, diabetes <strong>and</strong> asthma. 1<br />

The Flu Shots for Adults Ages 50–64 measure assesses whe<strong>the</strong>r adults received an influenza<br />

vaccination (flu shot).<br />

• flu shots are <strong>the</strong> most effective way to<br />

prevent severe illness or death resulting<br />

from influenza <strong>and</strong> its complications. 4<br />

• Influenza vaccines may prevent 50<br />

percent–60 percent <strong>of</strong> hospitalizations<br />

<strong>and</strong> 68 percent <strong>of</strong> deaths from flu-related<br />

complications for this age group. 5<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• In 2008, only 67 percent <strong>of</strong> adults between<br />

50 <strong>and</strong> 64 reported receiving an influenza<br />

vaccination. 6 over <strong>the</strong> course <strong>of</strong> an<br />

average flu season, more than 15,000 lives<br />

could be saved if 90 percent vaccination<br />

coverage was achieved annually. 7<br />

• A single flu epidemic can result in more<br />

than $3 billion in direct hospitalization<br />

costs alone. 8<br />

• flu shots have been shown to be highly<br />

cost-effective for adults 50–64. 9 The<br />

vaccination is estimated to cost just $16.70<br />

per person vaccinated, including direct <strong>and</strong><br />

indirect medical costs <strong>and</strong> costs associated<br />

with potential side-effects. 10<br />

HEdIs Measure definition<br />

A rolling average represents <strong>the</strong> percentage <strong>of</strong><br />

commercial members 50–64 years <strong>of</strong> age who<br />

received an influenza vaccination between<br />

September 1 <strong>of</strong> <strong>the</strong> measurement year <strong>and</strong><br />

<strong>the</strong> date when <strong>the</strong> CAHPS 4.0H survey was<br />

completed.


esults<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

flu shots for adults ages 50–64 could save<br />

thous<strong>and</strong>s <strong>of</strong> lives <strong>and</strong> result in dramatic cost<br />

savings for <strong>the</strong> health care system.<br />

yEAR<br />

vaCCInatIon ratE<br />

39<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 52.5 51.6 NA NA NA<br />

2009 51.3 50.5 64.5 65.1 NA<br />

2008 49.8 49.2 65.8 66.7 NA<br />

2007 48.6 48.1 68.6 68.9 NA<br />

2006 45.6 44.5 67.8 68.2 NA<br />

2005 36.2 37.1 70.3 69.9 NA<br />

2004 38.9 NA 74.8 NA NA<br />

2003 47.9 NA 74.4 NA NA<br />

2002 44.0 NA 72.5 NA NA<br />

2001 30.3 NA 71.2 NA NA<br />

W E l l N E S S A N D P R E V E N T I o N


W E l l N E S S A N D P R E V E N T I o N<br />

40<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

bREAST CANCER SCREENING<br />

breast cancer is one <strong>of</strong> <strong>the</strong> most common types <strong>of</strong> cancers, <strong>and</strong> accounts for a quarter <strong>of</strong> all new<br />

cancer diagnoses among women in <strong>the</strong> U.S. 1 The Breast Cancer Screening measure assesses whe<strong>the</strong>r<br />

women between 40 <strong>and</strong> 69 years <strong>of</strong> age received a mammogram screening for breast cancer.<br />

• breast cancer is <strong>the</strong> second cause <strong>of</strong> cancer<br />

deaths in women (after lung cancer). 2<br />

• breast cancer deaths have decreased over<br />

<strong>the</strong> years, thanks to early detection using<br />

mammography. Screening every two years<br />

decreases <strong>the</strong> risk <strong>of</strong> mortality by more<br />

than 16 percent in women between 50 <strong>and</strong><br />

69, compared with no screening. 3<br />

• About 70 percent–80 percent <strong>of</strong> breast<br />

cancers occur in women who have no<br />

family history <strong>of</strong> breast cancer. These<br />

cancers occur because <strong>of</strong> genetic<br />

abnormalities that happen as a result <strong>of</strong><br />

<strong>the</strong> aging process, 4 <strong>and</strong> <strong>the</strong>re is a clear<br />

connection between age <strong>and</strong> developing<br />

breast cancer. 5,6<br />

• Mammogram screening has demonstrated<br />

reductions in breast cancer mortality<br />

<strong>and</strong> <strong>the</strong>re is a clear connection between<br />

developing breast cancer <strong>and</strong> age. 5,6<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• breast cancer treatment costs in <strong>the</strong> U.S.<br />

total nearly $7 billion a year, including $2<br />

billion spent on late-stage treatment. 5 lowincome<br />

women are less likely to have had<br />

a mammogram within <strong>the</strong> past two years,<br />

increasing <strong>the</strong>ir risk <strong>of</strong> late-stage diagnosis<br />

<strong>and</strong> decreasing <strong>the</strong>ir chance <strong>of</strong> survival. 7<br />

• Early detection <strong>of</strong> breast cancer by<br />

mammography may lead to greater<br />

range <strong>of</strong> treatment options that include<br />

less-aggressive surgery <strong>and</strong> less-invasive<br />

<strong>the</strong>rapy. 7<br />

• The five-year survival rate for women<br />

who are diagnosed early is 98 percent,<br />

compared with <strong>the</strong> late-diagnosed breast<br />

cancer survival rate <strong>of</strong> only 23 percent. 2<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> women 40–69 years <strong>of</strong> age<br />

who had at least one mammogram to screen<br />

for breast cancer in <strong>the</strong> past two years.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

results<br />

Early detection <strong>and</strong> better treatment have<br />

resulted in increased survival rates for<br />

women with breast cancer. If breast cancer<br />

is diagnosed when it is in its earliest stages,<br />

treatment may be more effective <strong>and</strong> less<br />

expensive. 5<br />

yEAR<br />

sCrEEnIng ratE<br />

41<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 70.8 67.0 68.5 65.8 51.3<br />

2009 71.3 67.1 69.3 65.5 52.4<br />

2008 70.2 66.0 68.0 65.2 50.8<br />

2007 69.1 64.6 67.3 64.5 49.8<br />

2006 68.9 63.5 69.5 68.6 49.1<br />

2005 72.0 63.9 71.6 69.0 53.9<br />

2004 73.4 NA 74.0 NA 54.1<br />

2003 75.3 NA 74.0 NA 55.9<br />

2002 74.9 NA 74.5 NA 56.0<br />

2001 75.5 NA 75.3 NA 55.1<br />

2000 74.5 NA NA NA NA<br />

1999 73.4 NA NA NA NA<br />

W E l l N E S S A N D P R E V E N T I o N


W E l l N E S S A N D P R E V E N T I o N<br />

42<br />

Cervical cancer is nearly 100 percent preventable, yet it is <strong>the</strong> second most common cancer<br />

among women worldwide. 1,2 In <strong>the</strong> United States, about 12,000 women are diagnosed with<br />

cervical cancer each year, resulting in more than 4,000 deaths. 3,4 The Cervical Cancer Screening<br />

measure assesses whe<strong>the</strong>r women between 21 <strong>and</strong> 64 years <strong>of</strong> age received screening for<br />

cervical cancer using a Pap test.<br />

• for women in whom pre-cancerous lesions<br />

were detected through Pap tests, <strong>the</strong><br />

likelihood <strong>of</strong> survival is nearly 100 percent<br />

with appropriate evaluation, treatment <strong>and</strong><br />

follow up. 1,3<br />

• In 2008, <strong>the</strong> prevalence <strong>of</strong> recent Pap<br />

test use was lowest among older women,<br />

women with no health insurance <strong>and</strong> recent<br />

immigrants. 1<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• The total cost <strong>of</strong> treatment for cervical<br />

cancer is $300 million–$400 million<br />

annually. 2<br />

• between 60 percent <strong>and</strong> 80 percent <strong>of</strong><br />

women with advanced cervical cancer<br />

have not had a Pap test in <strong>the</strong> past five<br />

years. 1<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CERVICAl CANCER SCREENING<br />

• All women are at risk for cervical cancer<br />

<strong>and</strong> women with <strong>the</strong> lowest levels <strong>of</strong><br />

education tend to have fewer screenings in<br />

<strong>the</strong>ir lifetime. 4<br />

• A woman who does not have regular Pap<br />

tests significantly increases her chances <strong>of</strong><br />

developing cervical cancer. 3<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> women 21–64 years <strong>of</strong> age<br />

who received one or more Pap test to screen<br />

for cervical cancer in <strong>the</strong> past three years.<br />

results<br />

Cervical cancer incidence <strong>and</strong> mortality rates<br />

have decreased 67 percent over <strong>the</strong> past<br />

three decades. Most <strong>of</strong> <strong>the</strong> reduction can<br />

be attributed to <strong>the</strong> Pap test, which detects<br />

cervical cancer <strong>and</strong> precancerous lesions. 1


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

sCrEEnIng ratE<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 77.0 74.5 NA NA 67.2<br />

2009 77.3 74.6 NA NA 65.8<br />

2008 80.7 74.0 NA NA 66.0<br />

2007 81.7 73.5 NA NA 64.8<br />

2006 81.0 72.6 NA NA 65.7<br />

2005 81.8 74.6 NA NA 65.2<br />

2004 80.9 NA NA NA 64.7<br />

2003 81.8 NA NA NA 64.0<br />

2002 80.5 NA NA NA 62.2<br />

2001 80.0 NA NA NA 61.1<br />

2000 78.1 NA NA NA NA<br />

1999 71.8 NA NA NA NA<br />

43<br />

W E l l N E S S A N D P R E V E N T I o N


W E l l N E S S A N D P R E V E N T I o N<br />

44<br />

In 2010 an estimated 142,570 men <strong>and</strong> women were diagnosed with colon cancer, <strong>and</strong><br />

approximately 51,370 died from <strong>the</strong> disease, making it <strong>the</strong> second leading cause <strong>of</strong> cancer<br />

death in <strong>the</strong> United States. 1,2 The Colorectal Cancer Screening measure assesses whe<strong>the</strong>r adults<br />

50–75 years <strong>of</strong> age received screening for colorectal cancer, based on <strong>the</strong> recommendation <strong>of</strong><br />

<strong>the</strong> U.S. Preventive Services Task force. 3<br />

• Symptoms are not common in colorectal<br />

cancer until <strong>the</strong> disease has progressed<br />

<strong>and</strong> chances <strong>of</strong> survival have decreased. 4<br />

Treatment in <strong>the</strong> disease’s earliest stage is<br />

highly successful, with a five-year survival<br />

rate <strong>of</strong> 74 percent. 5<br />

• Most colorectal cancers occur in people<br />

without a family history <strong>of</strong> colorectal<br />

cancer. 6 While screening is extremely<br />

effective in detecting colorectal cancer, it<br />

remains underutilized.<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Approximately half <strong>of</strong> American adults do<br />

not receive <strong>the</strong> necessary colorectal cancer<br />

screening. 7 Screening rates for colorectal<br />

cancer lag behind o<strong>the</strong>r cancer screening<br />

rates. 8<br />

• fecal occult blood tests, colonoscopy <strong>and</strong><br />

flexible sigmoidoscopy are shown to be<br />

effective screening methods. 6 Colorectal<br />

screen <strong>of</strong> individuals with no symptoms<br />

can identify polyps whose removal can<br />

prevent more than 90 percent <strong>of</strong> colorectal<br />

cancers. 9<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

ColoRECTAl CANCER SCREENING<br />

• Deaths associated with colorectal cancer<br />

declined in 2010, continuing a 15-year<br />

trend attributed to increased screening<br />

<strong>and</strong> early detection. 3,10 between 2003<br />

<strong>and</strong> 2007, 35 states saw decreases in <strong>the</strong><br />

number <strong>of</strong> new cases <strong>of</strong> colorectal cancer, 11<br />

but regional variation exists.<br />

• Screening for colorectal cancer is shown<br />

to be cost effective for <strong>the</strong> health care<br />

system. The cost <strong>of</strong> screening far outweighs<br />

<strong>the</strong> costs <strong>of</strong> treating more progressive<br />

colorectal cancer. 12<br />

• Doctors’ recommendations have been<br />

found to be a major predictor <strong>of</strong> whe<strong>the</strong>r<br />

patients receive <strong>the</strong> supported screening. 13<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> adults 50–75 years <strong>of</strong> age<br />

who had appropriate screening for colorectal<br />

cancer with any <strong>of</strong> <strong>the</strong> following tests: fecal<br />

occult blood test during <strong>the</strong> measurement<br />

year; flexible sigmoidoscopy during <strong>the</strong><br />

measurement year or <strong>the</strong> four years prior to<br />

<strong>the</strong> measurement year; or colonoscopy during


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

<strong>the</strong> measurement year or in any <strong>of</strong> <strong>the</strong> nine<br />

years prior to <strong>the</strong> measurement year.<br />

results<br />

Colorectal cancer screening in asymptomatic<br />

adults between 50 <strong>and</strong> 75 can catch<br />

dangerous polyps before <strong>the</strong>y become<br />

cancerous, or can detect colorectal cancer<br />

in its early stages, when treatment is most<br />

effective.<br />

yEAR<br />

sCrEEnIng ratE<br />

45<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 62.6 47.6 57.6 41.0 NA<br />

2009 60.7 47.0 54.9 40.1 NA<br />

2008 58.6 45.3 53.1 41.8 NA<br />

2007 55.6 42.5 50.4 39.5 NA<br />

2006 54.5 42.1 53.3 47.1 NA<br />

2005 52.3 43.4 54.0 49.7 NA<br />

2004 49.0 NA 52.6 NA NA<br />

W E l l N E S S A N D P R E V E N T I o N


W E l l N E S S A N D P R E V E N T I o N<br />

46<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

MEDICAl ASSISTANCE WITH SMokING<br />

AND TobACCo USE CESSATIoN<br />

Smoking is <strong>the</strong> second most common cause <strong>of</strong> death in <strong>the</strong> world, causing almost a half-million deaths<br />

annually, 1 <strong>and</strong> it is by far <strong>the</strong> most directly preventable cause <strong>of</strong> death <strong>and</strong> disability in <strong>the</strong> United<br />

States. 2,3 In 2009, almost 18 percent <strong>of</strong> adults in <strong>the</strong> U.S.—more than 40 million people—were<br />

smokers. 2 The Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation measure assesses whe<strong>the</strong>r<br />

adults who use tobacco products receive counseling, medications <strong>and</strong> strategies to help <strong>the</strong>m quit.<br />

• Although consumption <strong>of</strong> cigarettes<br />

continues to decline <strong>and</strong> <strong>the</strong> number <strong>of</strong><br />

people who are heavy smokers (i.e.,<br />

smoke a pack each day) has dropped<br />

significantly, 5 <strong>the</strong> consumption <strong>of</strong> cigars<br />

<strong>and</strong> smokeless tobacco is on <strong>the</strong> rise. 6<br />

• More than 70 percent <strong>of</strong> smokers want to<br />

quit <strong>and</strong> more than 40 percent try to quit<br />

each year. 7 less than 7 percent succeed in<br />

kicking <strong>the</strong> habit. 7<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Studies have shown that a physician’s<br />

advice to quit is an important motivator<br />

for smokers attempting to quit,8 but fewer<br />

than half <strong>of</strong> smokers receive cessation<br />

counseling. 9 Doctors <strong>and</strong> o<strong>the</strong>r health care<br />

providers can improve a patient’s outcome<br />

in as little as three minutes, according to<br />

<strong>the</strong> Public Health Service Guidelines. 10<br />

Research indicates that <strong>the</strong> more intense <strong>the</strong><br />

intervention, <strong>the</strong> higher <strong>the</strong> likelihood that<br />

smokers will quit successfully. 8<br />

• Annual smoking-related health care costs<br />

are estimated at $96 billion. 9 When<br />

productivity losses are considered, <strong>the</strong> total<br />

economic burden <strong>of</strong> smoking is estimated<br />

to be $193 billion per year. 9 In an<br />

18-month period, smokers incur 18 percent<br />

higher health care charges than people<br />

who never smoked. 7<br />

• Women <strong>and</strong> minorities receive advice<br />

about quitting smoking less frequently than<br />

men who smoke. 11,12<br />

HEdIs Measure definition<br />

This measure evaluates three facets <strong>of</strong><br />

providing medical assistance with smoking<br />

<strong>and</strong> tobacco use cessations.<br />

• Advising Smokers <strong>and</strong> Tobacco Users to Quit.<br />

A rolling average represents <strong>the</strong> percentage<br />

<strong>of</strong> adults 18 years <strong>of</strong> age <strong>and</strong> older who are<br />

current smokers or tobacco users <strong>and</strong> who<br />

received cessation advice from a physician<br />

during <strong>the</strong> measurement year.<br />

• Discussing Cessation Medication. A rolling<br />

average represents <strong>the</strong> percentage <strong>of</strong><br />

adults 18 years <strong>of</strong> age <strong>and</strong> older who are<br />

current smokers or tobacco users <strong>and</strong> who<br />

discussed or were recommended cessation<br />

medications by a physician during <strong>the</strong><br />

measurement year.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

• Discussing Cessation Strategies. A rolling<br />

average represents <strong>the</strong> percentage <strong>of</strong> adults<br />

18 years <strong>of</strong> age <strong>and</strong> older who are current<br />

smokers or tobacco users who discussed or<br />

were provided cessation methods or strategies<br />

by a physician during <strong>the</strong> measurement year.<br />

results<br />

Care providers play an important role in<br />

supporting smokers’ efforts to quit. Smoking<br />

cessation practices are among <strong>the</strong> most<br />

advantageous methods for reducing smokingrelated<br />

deaths <strong>and</strong> health care costs. 2<br />

yEAR<br />

advIsIng sMokErs <strong>and</strong><br />

tobaCCo usErs to QuIt<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 76.7 71.7 NA NA 73.6<br />

2009 NA NA 77.9 75.2 NA<br />

2008 76.7 71.6 76.9 76.5 69.3<br />

2007 75.8 71.0 75.8 75.4 69.4<br />

2006 73.8 70.1 76.1 77.3 68.2<br />

2005 71.2 66.9 75.5 77.3 65.6<br />

2004 69.6 NA 64.7 NA 66.7<br />

2003 68.6 NA 62.9 NA 65.8<br />

2002 67.7 NA 61.6 NA 63.6<br />

2001 65.7 NA 60.9 NA 63.9<br />

2000 66.3 NA NA NA NA<br />

yEAR<br />

dIsCussIng CEssatIon<br />

stratEgIEs<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 45.0 39.0 NA NA 38.5<br />

2008 49.7 43.3 NA NA 40.8<br />

2007 48.0 44.2 NA NA 39.2<br />

2006 43.2 42.6 NA NA 36.7<br />

2005 38.9 35.1 NA NA 33.9<br />

2004 36.8 NA NA NA 32.7<br />

2003 36.0 NA NA NA 32.3<br />

yEAR<br />

dIsCussIng CEssatIon<br />

MEdICatIons<br />

47<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 52.4 47.2 NA NA 42.7<br />

2008 54.4 50.9 NA NA 40.6<br />

2007 50.9 49.6 NA NA 38.7<br />

2006 43.9 43.8 NA NA 35.1<br />

2005 39.4 36.7 NA NA 31.8<br />

2004 37.8 NA NA NA 31.3<br />

2003 37.6 NA NA NA 31.5<br />

W E l l N E S S A N D P R E V E N T I o N


C H R o N I C D I S E A S E M A N A G E M E N T<br />

48<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

PERSISTENCE <strong>of</strong> bETA-bloCkER<br />

TREATMENT AfTER A HEART ATTACk<br />

Heart attacks occur when blood clots obscure <strong>the</strong> main blood vessel that feeds <strong>the</strong> heart. loss<br />

<strong>of</strong> blood flow may permanently damage <strong>the</strong> heart tissue. 1 Each year, an estimated 785,000<br />

Americans suffer a heart attack. <strong>of</strong> <strong>the</strong>se, 470,000 have had at least one heart attack before,<br />

<strong>and</strong> 150,000 are under <strong>the</strong> age <strong>of</strong> 65. 2,3 The Persistence <strong>of</strong> Beta-Blocker Treatment After a Heart<br />

Attack measure reports <strong>the</strong> number <strong>of</strong> people who had a heart attack <strong>and</strong> received beta-blocker<br />

treatment during <strong>the</strong> six months following <strong>the</strong>ir discharge from <strong>the</strong> hospital.<br />

• beta-blocker <strong>the</strong>rapy has been shown to<br />

reduce mortality when used after a heart<br />

attack. 4 These drugs can also reduce<br />

patients’ risk for hospital readmission in <strong>the</strong><br />

first year. 5<br />

• beta-blocker <strong>the</strong>rapy restores blood flow,<br />

which reduces damage to <strong>the</strong> heart muscle.<br />

beta-blockers slow heart rate, lower blood<br />

pressure <strong>and</strong> prevent irregular heartbeats<br />

by blocking nervous impulses or stress<br />

responses to <strong>the</strong> heart. 6,7<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Despite beta-blockers’ effectiveness,<br />

adherence to beta-blocker <strong>the</strong>rapy is poor.<br />

only 45 percent <strong>of</strong> patients consistently<br />

took <strong>the</strong>ir medications in <strong>the</strong> first year after<br />

discharge. 8 lack <strong>of</strong> adherence has been<br />

shown to increase patients’ risk <strong>of</strong> dying. 9<br />

• If beta-blocker adherence could be<br />

increased to 100 percent in first-time<br />

heart attack survivors for 20 years, an<br />

estimated 62,000 heart attacks would be<br />

prevented, 72,000 deaths from coronary<br />

heart disease avoided, 447,000 life-years<br />

gained <strong>and</strong> $18 million saved. 10,11<br />

• Although <strong>the</strong> elderly benefit from betablocker<br />

<strong>the</strong>rapy, many patients are not<br />

prescribed <strong>the</strong>se medications. <strong>of</strong> all adults<br />

who are good c<strong>and</strong>idates for beta-blocker<br />

medication, only 43.8 percent <strong>of</strong> nursing<br />

home residents <strong>and</strong> 61.4 percent <strong>of</strong><br />

community-dwelling residents receive betablockers.<br />

Research has shown that mortality<br />

is significantly lower for nursing home<br />

patients who receive beta-blockers. 12


HEdIs Measure definition<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

The percentage <strong>of</strong> adults 18 years <strong>of</strong> age<br />

<strong>and</strong> older during <strong>the</strong> measurement year who<br />

were hospitalized with a diagnosis <strong>of</strong> AMI<br />

<strong>and</strong> discharged alive from July 1 <strong>of</strong> <strong>the</strong> year<br />

prior to <strong>the</strong> measurement year to June 30<br />

<strong>of</strong> <strong>the</strong> measurement year, <strong>and</strong> who received<br />

persistent beta-blocker treatment for six<br />

months after discharge.<br />

results<br />

The Persistence <strong>of</strong> Beta-Blocker Treatment After<br />

Heart Attack measure provides insight into<br />

<strong>the</strong> number <strong>of</strong> heart attack patients receiving<br />

appropriate care with medications proven<br />

effective in reducing cardiac-related mortality.<br />

yEAR<br />

trEatMEnt ratE<br />

49<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 75.5 71.3 83.1 82.5 76.3<br />

2009 74.4 69.6 82.6 78.9 76.6<br />

2008 75.0 68.8 79.7 76.7 73.6<br />

2007 71.9 62.9 75.5 70.4 62.0<br />

2006 72.5 65.5 69.6 70.9 68.1<br />

2005 70.2 64.3 65.4 58.5 69.8<br />

C H R o N I C D I S E A S E M A N A G E M E N T


C H R o N I C D I S E A S E M A N A G E M E N T<br />

50<br />

Diabetes is <strong>the</strong> seventh leading cause <strong>of</strong> death in <strong>the</strong> United States. for people with diabetes, <strong>the</strong><br />

risk <strong>of</strong> death is twice that <strong>of</strong> people without diabetes. 1,2 Diabetes, especially when unmanaged,<br />

may lead to blindness, heart disease <strong>and</strong> limb amputation. 1 It is also <strong>the</strong> leading cause <strong>of</strong> kidney<br />

failure, accounting for 45 percent <strong>of</strong> new cases. 3 People with diabetes face tripled risk <strong>of</strong> stroke,<br />

compared with people who have normal blood sugar levels. 4<br />

Almost 26 million Americans are diabetic<br />

<strong>and</strong> an additional 79 million adults are<br />

prediabetic. 1 The number <strong>of</strong> diabetics is<br />

increasing dramatically, due in large part<br />

to <strong>the</strong> rising number <strong>of</strong> Americans who are<br />

overweight or obese. 2<br />

The Comprehensive Diabetes Care measure<br />

assesses whe<strong>the</strong>r patients receive guidelinerecommended<br />

care <strong>and</strong> achieve control levels<br />

for <strong>the</strong>ir blood sugar, cholesterol <strong>and</strong> blood<br />

pressure.<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• In 2007, diabetes was estimated to cost <strong>the</strong><br />

U.S. economy $174 billion. <strong>of</strong> this, $116<br />

billion was attributed to <strong>the</strong> cost <strong>of</strong> medical<br />

care. Ano<strong>the</strong>r $58 billion was lost through<br />

disability, missed work days <strong>and</strong> premature<br />

mortality. 2<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CoMPREHENSIVE DIAbETES CARE<br />

• between 1980 <strong>and</strong> 2006, <strong>the</strong> number <strong>of</strong><br />

hospitalizations for patients with diabetes<br />

more than doubled. 5 Diabetes was <strong>the</strong><br />

primary diagnosis in almost 550,000<br />

hospitalizations in 2009, when <strong>the</strong> average<br />

medical charge was $12,849 for diabetes<br />

without complications <strong>and</strong> $29,851 for<br />

diabetes with complications. 6<br />

• Improving blood sugar control has shown<br />

to result in lower health care use <strong>and</strong><br />

better overall satisfaction with diabetes<br />

treatment. 7,8 People who controlled <strong>the</strong>ir<br />

diabetes also reported improved quality <strong>of</strong><br />

life <strong>and</strong> emotional well-being. 9<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> adults 18–75 years <strong>of</strong> age<br />

with diabetes (type 1 <strong>and</strong> type 2) who had<br />

each <strong>of</strong> <strong>the</strong> following:<br />

• Hemoglobin A1c (HbA1c) testing<br />

• HbA1c poor control (>9.0%)<br />

• HbA1c control (


• lDl-C screening<br />

• lDl-C control (


C H R o N I C D I S E A S E M A N A G E M E N T<br />

yEAR<br />

Hba1C sCrEEnIng<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 89.9 85.2 90.4 90.6 82.0<br />

2009 89.2 83.3 89.6 89.3 80.6<br />

2008 89.0 79.5 88.3 85.7 80.5<br />

2007 88.1 75.6 88.1 81.9 77.3<br />

2006 87.5 72.1 87.2 83.3 78.0<br />

2005 87.5 82.8 88.9 80.0 76.1<br />

2004 86.5 NA 89.1 NA 75.9<br />

2003 84.6 NA 87.9 NA 74.8<br />

2002 82.6 NA 85.0 NA 73.0<br />

2001 81.4 NA 85.7 NA 71.6<br />

2000 78.4 NA NA NA NA<br />

1999 75.0 NA NA NA NA<br />

good glyCEMIC Control (Hba1C<br />


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

ldl CHolEstErol sCrEEnIng<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 85.6 79.9 87.8 86.3 74.7<br />

2009 85.0 78.6 87.3 85.5 74.2<br />

2008 84.8 74.7 86.3 82.3 74.1<br />

2007 83.9 72.7 85.7 80.0 70.8<br />

2006 83.3 67.4 84.8 79.4 71.1<br />

2005 92.3 87.0 93.3 87.1 80.6<br />

2004 91.0 NA 93.5 NA 79.6<br />

2003 88.4 NA 91.1 NA 75.9<br />

2002 85.1 NA 87.9 NA 70.8<br />

2001 81.4 NA 85.7 NA 66.5<br />

2000 76.5 NA NA NA NA<br />

1999 69.0 NA NA NA NA<br />

yEAR<br />

ldl CHolEstErol Control<br />

(


C H R o N I C D I S E A S E M A N A G E M E N T<br />

54<br />

• Approximately 76.4 million (33.5 percent)<br />

<strong>of</strong> people in <strong>the</strong> United States have high<br />

2, 5<br />

blood pressure.<br />

• High blood pressure puts people at risk for<br />

heart attacks <strong>and</strong> strokes. 3 over a lifetime,<br />

people with hypertension have twice <strong>the</strong><br />

risk <strong>of</strong> stroke, compared with those without<br />

hypertension. 4<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CoNTRollING HIGH blooD PRESSURE<br />

High blood pressure, or hypertension, occurs when <strong>the</strong> force <strong>of</strong> blood against artery walls<br />

increases, leading to greater risk <strong>of</strong> heart disease. High blood pressure may result when <strong>the</strong><br />

arteries narrow or when <strong>the</strong> amount <strong>of</strong> blood <strong>the</strong> heart pumps increases. 1 The Controlling High<br />

Blood Pressure measure assesses whe<strong>the</strong>r adults with high blood pressure manage <strong>the</strong>ir condition<br />

by taking steps to lower <strong>the</strong>ir blood pressure <strong>and</strong> keep <strong>the</strong>ir scores within <strong>the</strong> normal range.<br />

• Although <strong>the</strong> risk <strong>of</strong> developing<br />

hypertension increases with age, 9 nearly<br />

one in five young adults between <strong>the</strong> ages<br />

<strong>of</strong> 24 <strong>and</strong> 32 has high blood pressure. <strong>of</strong><br />

<strong>the</strong>se, only half are aware that <strong>the</strong>y have<br />

<strong>the</strong> condition. 6<br />

• A study conducted by The National High<br />

blood Pressure Education Program in 2002<br />

indicated that reducing blood pressure by<br />

5 mm Hg decreased death from stroke by<br />

14 percent, death from coronary heart<br />

disease by 9 percent <strong>and</strong> death from all<br />

causes by 7 percent. 9<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• In 2007, over 46 million ambulatory care<br />

visits were attributed to hypertension. 7<br />

Hypertension was listed as a primary or<br />

secondary diagnosis in over 8.7 million<br />

hospital admissions. 1 The associated direct<br />

<strong>and</strong> indirect medical costs were estimated<br />

to be $43.5 billion. 1<br />

• Approximately 69 percent <strong>of</strong> people who<br />

suffer a first heart attack, 77 percent <strong>of</strong><br />

people who have a stroke <strong>and</strong> 79 percent<br />

<strong>of</strong> people with congestive heart failure have<br />

high blood pressure. 1<br />

• only half <strong>of</strong> people with hypertension<br />

10, 11<br />

control <strong>the</strong>ir high blood pressure.<br />

• life expectancy for people with<br />

hypertension is 5.1 years shorter for<br />

men <strong>and</strong> 4.9 years shorter for women,<br />

compared with individuals who have<br />

normal blood pressure. 8


HEdIs Measure definition<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

The percentage <strong>of</strong> adults 18–85 years <strong>of</strong><br />

age who had a diagnosis <strong>of</strong> hypertension<br />

<strong>and</strong> whose blood pressure was adequately<br />

controlled (


C H R o N I C D I S E A S E M A N A G E M E N T<br />

56<br />

High cholesterol puts people at increased risk for heart disease when fatty deposits adhere to<br />

artery walls <strong>and</strong> make it more difficult for blood to flow. Reduced blood flow limits <strong>the</strong> amount<br />

<strong>of</strong> oxygen reaching <strong>the</strong> heart, which could lead to heart failure, <strong>and</strong> low blood circulation to<br />

<strong>the</strong> brain could lead to a stroke. 1,2 An estimated 82 million American adults have some form<br />

<strong>of</strong> cardiovascular disease. 3 Each year more than 600,000 die, making heart disease <strong>the</strong><br />

leading cause <strong>of</strong> death in <strong>the</strong> United States. 4 The Cholesterol Management for Patients with<br />

Cardiovascular Conditions measure assesses whe<strong>the</strong>r adults who have cardiovascular conditions<br />

are screened for high cholesterol.<br />

• High cholesterol has no symptoms, making<br />

screening vital to diagnosing <strong>and</strong> treating<br />

this harbinger <strong>of</strong> heart disease before<br />

serious damage occurs. 5<br />

• Reducing lDl-C (“bad” cholesterol) levels<br />

has been shown to lower <strong>the</strong> occurrence <strong>of</strong><br />

adverse cardiovascular events. 6<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Researchers from <strong>the</strong> American Heart<br />

Association predict that by 2030, more<br />

than 40 percent <strong>of</strong> <strong>the</strong> U.S. population will<br />

have some form <strong>of</strong> cardiovascular disease.<br />

The estimated direct medical costs to treat<br />

<strong>the</strong>se individuals will triple during this time<br />

frame, from $273 billion to $818 billion<br />

annually. 7<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CHolESTERol MANAGEMENT foR PATIENTS<br />

WITH CARDIoVASCUlAR CoNDITIoNS<br />

• lowering <strong>the</strong> level <strong>of</strong> lDl cholesterol in<br />

patients with coronary heart disease<br />

reduces <strong>the</strong> risk that patients will suffer<br />

ano<strong>the</strong>r cardiac event or stroke. 8 lifestyle<br />

changes, like physical activity, a low-fat<br />

diet <strong>and</strong> drug <strong>the</strong>rapy, such as statins, have<br />

been found to be effective ways to lower<br />

lDl cholesterol. 8,9<br />

• If <strong>the</strong> American population decreased its<br />

total cholesterol levels by 10 percent, new<br />

cases <strong>of</strong> cardiovascular disease would drop<br />

an estimated 30 percent. 3<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> adults 18–75 years <strong>of</strong><br />

age who were discharged alive for acute<br />

myocardial infarction (AMI), coronary<br />

artery bypass graft (CAbG) or percutaneous<br />

coronary interventions (PCI) from January<br />

1–November 1 <strong>of</strong> <strong>the</strong> year prior to <strong>the</strong><br />

measurement year, or who had a diagnosis<br />

<strong>of</strong> ischemic vascular disease (IVD) during


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

<strong>the</strong> measurement year <strong>and</strong> <strong>the</strong> year prior to<br />

<strong>the</strong> measurement year <strong>and</strong> had each <strong>of</strong> <strong>the</strong><br />

following during <strong>the</strong> measurement year:<br />

• lDl-C screening<br />

• lDl-C control (


C H R o N I C D I S E A S E M A N A G E M E N T<br />

58<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

DISEASE MoDIfyING ANTI-RHEUMATIC DRUG<br />

THERAPy IN RHEUMAToID ARTHRITIS<br />

Rheumatoid arthritis (RA) is a chronic inflammatory disease in which <strong>the</strong> immune system attacks<br />

healthy joints. 1 It causes joint destruction, bone erosion <strong>and</strong> damage to muscles, kidneys <strong>and</strong> o<strong>the</strong>r<br />

organs. 2 RA affects 1.5 million Americans. 3 The Disease Modifying Anti-Rheumatic Drug Therapy<br />

(DMARD) in Rheumatoid Arthritis measure assesses whe<strong>the</strong>r RA patients receive medications that<br />

slow <strong>the</strong> disease’s progression <strong>and</strong> help <strong>the</strong>m maintain functional capacity longer.<br />

• People with persistent RA are at greater risk<br />

for premature death. 4 In particular, people<br />

with RA die from heart-related problems at<br />

higher rates than people without RA. 5<br />

• Arthritis <strong>and</strong> o<strong>the</strong>r rheumatic conditions<br />

are <strong>the</strong> most common causes <strong>of</strong> disability<br />

in <strong>the</strong> United States. Approximately<br />

850,000 adults reported being disabled by<br />

RA—more than blindness, deafness, bone<br />

fracture, cancer <strong>and</strong> diabetes combined. 6<br />

• Although <strong>the</strong>re is no cure for RA, DMARDs<br />

may effectively protect joints <strong>and</strong> minimize<br />

inflammation, slowing progression <strong>of</strong> <strong>the</strong><br />

disease <strong>and</strong> reducing pain. 7<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Arthritis <strong>and</strong> related conditions, including<br />

RA, cost <strong>the</strong> U.S. economy $128 billion<br />

each year. Direct costs, like medical<br />

expenses, are estimated at $81 billion,<br />

<strong>and</strong> indirect costs, such as lost wages <strong>and</strong><br />

disability payments, are estimated at $47<br />

billion. 8<br />

• In 2009, RA was <strong>the</strong> principal diagnosis in<br />

over 16,000 hospitalizations. on average,<br />

each visit lasted 4 days <strong>and</strong> cost nearly<br />

$36,000. 9<br />

• Approximately 60 percent <strong>of</strong> people with<br />

RA become too ill to work after 10 years <strong>of</strong><br />

<strong>the</strong> disease. 10<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> diagnosed adults with<br />

rheumatoid arthritis who were dispensed<br />

at least one ambulatory prescription for a<br />

DMARD.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

results<br />

RA is a debilitating disease affecting over one<br />

million Americans. Although <strong>the</strong>re is no cure<br />

for RA, treatment with DMARDs can slow <strong>the</strong><br />

disease’s progression, reduce pain <strong>and</strong> lower<br />

medical <strong>and</strong> disability costs.<br />

yEAR<br />

trEatMEnt ratE<br />

59<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 87.7 87.0 72.8 77.8 70.1<br />

2009 86.4 86.6 72.3 76.4 70.5<br />

2008 85.7 81.5 70.4 75.1 69.4<br />

2007 85.3 78.9 68.7 73.5 68.1<br />

2006 84.8 82.3 68.2 69.7 67.6<br />

C H R o N I C D I S E A S E M A N A G E M E N T


C H R o N I C D I S E A S E M A N A G E M E N T<br />

60<br />

• In 2009, approximately 24.6 million<br />

Americans (17.5 million adults <strong>and</strong> 7.1<br />

million children) reported having asthma. 2<br />

• Treatment that aligns with clinical<br />

guidelines reduces <strong>the</strong> severity <strong>of</strong> symptoms<br />

<strong>and</strong> <strong>the</strong> occurrence <strong>of</strong> asthma-related<br />

events (e.g., hospitalizations, emergency<br />

department visits). 3<br />

• According to <strong>the</strong> Asthma Regional Council,<br />

two-thirds <strong>of</strong> adults <strong>and</strong> children who<br />

display asthma symptoms are considered<br />

“not well controlled” or “very poorly<br />

controlled” as defined by clinical practice<br />

guidelines. 4<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

USE <strong>of</strong> APPRoPRIATE MEDICATIoNS<br />

foR PEoPlE WITH ASTHMA<br />

Asthma, a long-term lung disease that affects <strong>the</strong> ability to brea<strong>the</strong> in both adults <strong>and</strong> children,<br />

has become one <strong>of</strong> <strong>the</strong> most prevalent chronic diseases over <strong>the</strong> past 20 years. 1 The Use <strong>of</strong><br />

Appropriate Medications for People With Asthma measure assesses whe<strong>the</strong>r adults <strong>and</strong> children<br />

diagnosed with persistent asthma receive appropriate <strong>the</strong>rapeutic medications.<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• The financial burden <strong>of</strong> asthma is nearly<br />

$56 billion annually. 5<br />

• Asthma is a leading cause <strong>of</strong> lost<br />

productivity <strong>and</strong> absenteeism. In 2008<br />

<strong>the</strong>re were 10.5 million missed work days<br />

for adults <strong>and</strong> 14.2 million missed school<br />

days for children 5–17 years <strong>of</strong> age. 2<br />

• Adults <strong>and</strong> children with persistent asthma<br />

are at increased risk <strong>of</strong> complications. 1<br />

Among <strong>the</strong> four million individuals who<br />

reported missing at least one work or<br />

school day due to asthma attacks, at least<br />

one in seven (13.6 percent) required<br />

additional outpatient treatment. 6<br />

MEasurE dEfInItIon<br />

The percentage <strong>of</strong> adults 5–50 years <strong>of</strong><br />

age during <strong>the</strong> measurement year who<br />

were identified as having persistent asthma<br />

<strong>and</strong> who were appropriately prescribed<br />

medication during <strong>the</strong> measurement year.<br />

results<br />

Adults <strong>and</strong> children with asthma can manage<br />

<strong>the</strong>ir symptoms through use <strong>of</strong> long-term<br />

control medications <strong>and</strong> environmental<br />

changes to reduce exposure to irritants. 6


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

5–11 yEars<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 96.7 97.0 NA NA 91.8<br />

2009 96.6 97.0 NA NA 91.8<br />

yEAR<br />

12–50 yEars<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 91.8 91.8 NA NA 85.8<br />

2009 91.4 91.6 NA NA 86.0<br />

yEAR<br />

ovErall ratE<br />

61<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 92.9 93.0 NA NA 88.4<br />

2009 92.7 92.8 NA NA 88.6<br />

2008 92.4 92.7 NA NA 88.7<br />

2007 92.3 92.9 NA NA 86.9<br />

2006 91.6 92.7 NA NA 87.1<br />

2005 89.9 91.6 NA NA 85.7<br />

2004 72.9 NA NA NA 64.5<br />

2003 71.4 NA NA NA 64.1<br />

2002 67.9 NA NA NA 62.5<br />

2001 65.6 NA NA NA 60.1<br />

2000 62.6 NA NA NA NA<br />

1999 57.7 NA NA NA NA<br />

C H R o N I C D I S E A S E M A N A G E M E N T


C H R o N I C D I S E A S E M A N A G E M E N T<br />

62<br />

USE <strong>of</strong> SPIRoMETRy TESTING IN THE<br />

ASSESSMENT AND DIAGNoSIS <strong>of</strong> CoPD<br />

Chronic obstructive pulmonary disease (CoPD), characterized by blocked airflow <strong>and</strong><br />

diminished capacity to brea<strong>the</strong>, is a major health problem in <strong>the</strong> U.S. The most significant<br />

risk factor is long-term cigarette smoking. 1,2 o<strong>the</strong>r factors include old age <strong>and</strong> exposure to<br />

occupational <strong>and</strong> environmental pollutants. The Use <strong>of</strong> Spirometry Testing in <strong>the</strong> Assessment <strong>and</strong><br />

Diagnosis <strong>of</strong> COPD measure evaluates whe<strong>the</strong>r adults with a new CoPD diagnosis received a<br />

spirometry test, which helps in early diagnosis <strong>and</strong> enables appropriate treatment planning.<br />

• CoPD ranks as <strong>the</strong> fourth leading cause <strong>of</strong><br />

death in <strong>the</strong> United States. 3<br />

• According to <strong>the</strong> Global Initiative for<br />

Chronic obstructive lung Disease<br />

guidelines, <strong>the</strong> spirometry test is an<br />

effective <strong>and</strong> objective screening tool. 4 It<br />

measures how much <strong>and</strong> how fast one can<br />

brea<strong>the</strong> air in <strong>and</strong> out to assess how well<br />

oxygen is delivered to <strong>the</strong> lungs.<br />

• Early detection <strong>of</strong> CoPD is crucial<br />

for promoting smoking cessation <strong>and</strong><br />

instituting appropriate pharmacological<br />

<strong>and</strong> nonpharmacological <strong>the</strong>rapy before<br />

patients reach more costly stages <strong>of</strong> <strong>the</strong><br />

disease. 3,4<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• In 2010, total annual costs were estimated<br />

to exceed $50 billion—$29.5 billion <strong>of</strong> this<br />

was for direct health care costs, including<br />

hospitalizations, drugs <strong>and</strong> physician<br />

<strong>of</strong>fice <strong>and</strong> emergency department visits. 1,6<br />

<strong>of</strong> direct costs, 40–65-year-old patients<br />

represented 67 percent <strong>of</strong> physician <strong>of</strong>fice<br />

visits <strong>and</strong> 43 percent <strong>of</strong> hospitalizations.<br />

• Disability <strong>and</strong> premature death from CoPD<br />

cost an additional $14.1 billion in lost<br />

income. 1<br />

• In 2008, 13.1 million adults over 18 were<br />

estimated to have CoPD, 1,5 but close to<br />

24 million U.S. adults have evidence <strong>of</strong><br />

impaired lung function, which indicates<br />

underdiagnosis 1,5


HEdIs Measure definition<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

This measure estimates <strong>the</strong> percentage <strong>of</strong><br />

adults 40 years <strong>of</strong> age <strong>and</strong> older with a new<br />

diagnosis or newly active CoPD who received<br />

spirometry testing to confirm <strong>the</strong> diagnosis.<br />

results<br />

Spirometry tests can improve health outcomes<br />

through early detection; promoting smoking<br />

cessation; administration <strong>of</strong> influenza <strong>and</strong><br />

pneumococcal vaccines; <strong>and</strong> permitting<br />

earlier initiation <strong>of</strong> pharmacological <strong>and</strong><br />

nonpharmacological treatments. 7,8<br />

yEAR<br />

tEstIng ratE<br />

63<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 41.7 40.2 33.9 35.3 31.3<br />

2009 38.8 36.7 28.5 28.8 28.6<br />

2008 37.6 36.4 27.7 26.5 29.3<br />

2007 35.7 33.7 27.2 25.4 28.4<br />

2006 36.1 33.7 26.2 30.2 27.3<br />

C H R o N I C D I S E A S E M A N A G E M E N T


C H R o N I C D I S E A S E M A N A G E M E N T<br />

64<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

PHARMACoTHERAPy MANAGEMENT<br />

<strong>of</strong> CoPD ExACERbATIoN<br />

Chronic obstructive pulmonary disease (CoPD) exacerbations are characterized by acute<br />

worsening <strong>of</strong> clinical symptoms (e.g., breathlessness or sputum production). Exacerbations<br />

may range from temporary decline in functional status to fatal events. 1,2 After an exacerbation,<br />

patients’ symptoms <strong>and</strong> lung function can take several weeks to recover to baseline, <strong>and</strong> quality<br />

<strong>of</strong> life declines drastically. 2 The Pharmaco<strong>the</strong>rapy Management <strong>of</strong> COPD Exacerbation measure<br />

evaluates whe<strong>the</strong>r patients received appropriate medical treatment after an event <strong>and</strong> assesses<br />

effective outpatient management <strong>of</strong> <strong>the</strong> disease.<br />

• CoPD exacerbations are responsible for<br />

<strong>the</strong> majority <strong>of</strong> CoPD-related costs from<br />

unscheduled physician <strong>and</strong> emergency<br />

room visits <strong>and</strong> hospitalizations. 2<br />

• Exacerbations have contributed to an<br />

increase in CoPD-related mortality, from<br />

21.4 to 43.3 deaths per 100,000 persons<br />

in <strong>the</strong> U.S. in <strong>the</strong> last two decades. 1<br />

• According to <strong>the</strong> Global Initiative for<br />

Chronic obstructive lung Disease<br />

guidelines, inhaled bronchodilators are<br />

a cornerstone <strong>of</strong> treatment for CoPD<br />

exacerbation. 3,4 Short-term corticosteroid<br />

<strong>the</strong>rapy may also be required. 5,6<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• CoPD exacerbations are estimated to<br />

result in approximately 110,000 deaths<br />

<strong>and</strong> more than 500,000 hospitalizations<br />

annually. More than $18 billion is spent<br />

on direct costs every year. 4 Hospital<br />

admissions for CoPD exacerbations<br />

average a 10-day length <strong>of</strong> stay, at a cost<br />

<strong>of</strong> $10,000 per stay. 5,6<br />

• Approximately one-third <strong>of</strong> patients<br />

discharged from <strong>the</strong> emergency department<br />

with acute exacerbations have recurrent<br />

symptoms within 14 days, <strong>and</strong> 17 percent<br />

relapse <strong>and</strong> require hospitalization—a<br />

good indicator that patients are not getting<br />

<strong>the</strong> care <strong>the</strong>y require. 3<br />

• benefits <strong>of</strong> appropriate medical treatment<br />

include decreased duration <strong>of</strong> hospital<br />

stays <strong>and</strong> less likelihood <strong>of</strong> treatment<br />

failure. Patients also exhibit decreased<br />

frequency <strong>of</strong> exacerbations <strong>and</strong> maintain<br />

longer disease-free intervals. 5


HEdIs Measure definition<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

The percentage <strong>of</strong> adults 40 years <strong>and</strong> older<br />

who experience an CoPD exacerbation event<br />

<strong>and</strong> who were given appropriate medication<br />

<strong>the</strong>rapy to manage an exacerbation. As<br />

identified by claims, a CoPD exacerbation<br />

is an inpatient or ED visit with a primary<br />

discharge diagnosis <strong>of</strong> CoPD.<br />

results<br />

CoPD medications aimed at controlling<br />

symptoms have been shown to increase<br />

exercise capacity, improve health status <strong>and</strong><br />

reduce exacerbations. 5,7 Decreasing <strong>the</strong><br />

frequency <strong>of</strong> an exacerbation has shown to<br />

slow <strong>the</strong> progression <strong>of</strong> CoPD <strong>and</strong> should be<br />

a critical goal <strong>of</strong> care management. 2,5<br />

yEAR<br />

bronCHodIlators<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 77.8 73.5 78.2 76.1 82.1<br />

2009 78.0 75.0 76.2 74.9 80.7<br />

2008 76.1 68.1 74.1 71.3 78.2<br />

yEAR<br />

65<br />

systEMIC CortICostEroIds<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 69.8 66.2 66.6 69.6 65.3<br />

2009 66.1 64.1 60.9 64.2 61.8<br />

2008 67.0 58.2 60.0 60.8 61.7<br />

C H R o N I C D I S E A S E M A N A G E M E N T


C H R o N I C D I S E A S E M A N A G E M E N T<br />

66<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

ANNUAl MoNIToRING foR PATIENTS<br />

oN PERSISTENT MEDICATIoNS<br />

Adverse drug events trigger 700,000 emergency department (ED) visits a year. A quarter <strong>of</strong><br />

those visits come from adults 65 years <strong>and</strong> older. Approximately 120,000 hospital visits a<br />

year are attributable to adverse drug events, <strong>and</strong> older adults are seven times more likely to be<br />

hospitalized after an ED visit compared to <strong>the</strong> rest <strong>of</strong> <strong>the</strong> population. 1 The Annual Monitoring for<br />

Patients on Persistent Medications measure assesses whe<strong>the</strong>r adults were properly monitored for<br />

selected medications usually prescribed for long-term use.<br />

• Adults over 65 consume more health care<br />

than any o<strong>the</strong>r age group, <strong>and</strong> prescribing<br />

medications to <strong>the</strong> elderly is <strong>the</strong> most<br />

common clinical decision doctors make. 2<br />

• Allergic reactions <strong>and</strong> unintentional overdoses<br />

are two <strong>of</strong> <strong>the</strong> most common adverse drug<br />

reactions that cause hospitalization. Rates<br />

may improve with ongoing monitoring <strong>and</strong><br />

quality improvement. 3<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Adverse drug events are responsible for $4<br />

billion dollars <strong>of</strong> extra medical costs annually. 4<br />

• Adverse drug events present a public<br />

health concern as over-<strong>the</strong>-counter drugs<br />

become more available <strong>and</strong> more drugs<br />

are prescribed in an outpatient setting.<br />

• In one study, patients brought to <strong>the</strong><br />

ED with adverse drug events caused by<br />

outpatient medications were shown to<br />

spend between three <strong>and</strong> eight more days<br />

in <strong>the</strong> hospital in <strong>the</strong> six-month period post<br />

ED visit, compared with patients admitted<br />

to <strong>the</strong> ED for o<strong>the</strong>r reasons. 5 better methods<br />

to identify <strong>and</strong> monitor adverse drug events<br />

may reduce avoidable hospitalizations. 3,6<br />

HEdIs Measure definition<br />

This measure assesses <strong>the</strong> percentage <strong>of</strong> adults<br />

18 years <strong>of</strong> age <strong>and</strong> older who received at least<br />

180 treatment days <strong>of</strong> ambulatory medication<br />

<strong>the</strong>rapy for <strong>the</strong> following <strong>the</strong>rapeutic agents<br />

during <strong>the</strong> measurement year <strong>and</strong> at least one<br />

<strong>the</strong>rapeutic monitoring event for <strong>the</strong> <strong>the</strong>rapeutic<br />

agent in <strong>the</strong> measurement year.<br />

• Angiotensin converting enzyme (ACE) inhibitors<br />

or angiotensin receptor blockers (ARb)<br />

• Digoxin<br />

• Diuretics<br />

• Anticonvulsants<br />

A combined rate is also reported.<br />

results<br />

When patients do not adhere to a drug<br />

regimen, <strong>the</strong>y have high rates <strong>of</strong> inpatient <strong>and</strong><br />

outpatient health resource use. 7 Continued


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

monitoring <strong>of</strong> patients on persistent medications<br />

would reduce <strong>the</strong> likelihood <strong>of</strong> hospitalization<br />

<strong>and</strong> ED visits <strong>and</strong> increase adherence rates.<br />

yEAR<br />

aCE InHIbItors or arbs<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 81.6 78.4 90.7 90.8 86.0<br />

2009 80.8 77.6 89.6 89.8 85.9<br />

2008 79.4 76.4 86.7 88.8 84.8<br />

2007 77.2 75.6 84.8 87.8 82.5<br />

2006 74.8 66.3 82.7 83.9 79.9<br />

yEAR<br />

antIConvulsants<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 60.4 57.9 68.2 69.1 67.7<br />

2009 62.0 59.2 69.7 68.5 68.7<br />

2008 61.7 59.0 67.5 70.0 68.7<br />

2007 59.6 56.3 65.1 66.0 65.9<br />

2006 59.4 49.8 63.6 64.9 63.6<br />

yEAR<br />

dIgoxIn<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 84.6 79.1 93.1 92.7 89.7<br />

2009 83.6 77.9 92.0 92.2 88.9<br />

2008 81.9 76.6 90.4 91.1 88.5<br />

2007 79.7 75.7 87.9 90.4 84.9<br />

2006 77.3 64.2 86.2 87.1 83.0<br />

yEAR<br />

dIurEtICs<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 81.0 78.1 90.9 91.2 85.5<br />

2009 80.4 77.2 89.8 90.3 85.4<br />

2008 79.1 76.1 87.1 89.1 84.2<br />

2007 76.8 75.2 84.8 87.6 81.3<br />

2006 74.4 65.7 83.0 84.1 79.1<br />

yEAR<br />

CoMbInEd<br />

67<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 80.9 77.8 90.2 90.6 83.9<br />

2009 80.3 77.0 89.2 89.7 83.2<br />

2008 78.9 75.8 86.3 88.6 82.6<br />

2007 76.6 74.9 84.3 87.2 80.1<br />

2006 74.3 65.6 82.2 83.6 77.7<br />

C H R o N I C D I S E A S E M A N A G E M E N T


C H R o N I C D I S E A S E M A N A G E M E N T<br />

68<br />

Major depression is considered a serious medical illness; it affects approximately 5 percent–<br />

8 percent <strong>of</strong> American adults. 1 Depression is <strong>the</strong> leading cause <strong>of</strong> disability in <strong>the</strong> United States. 1<br />

Symptoms include persistent sadness, loss <strong>of</strong> energy, loss <strong>of</strong> appetite <strong>and</strong> inability to concentrate. 2<br />

The Antidepressant Medication Management measure assesses short-term <strong>and</strong> long-term<br />

medication adherence rates for adults newly diagnosed with depression.<br />

• According to evidence-based guidelines,<br />

medication management reduces <strong>the</strong> risk<br />

<strong>of</strong> relapse <strong>and</strong> reoccurrence for patients<br />

with depression. Without antidepressant<br />

medication, 50 percent–80 percent <strong>of</strong><br />

patients have major depressive relapses<br />

<strong>and</strong> reoccurrences. 3<br />

• The need for antidepressant medication<br />

increases as <strong>the</strong> severity <strong>of</strong> depression<br />

intensifies. 2<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

ANTIDEPRESSANT MEDICATIoN MANAGEMENT<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Major depression accounts for a variety<br />

<strong>of</strong> indirect economic costs resulting from<br />

personal developmental delays <strong>and</strong><br />

productivity losses. 4 Personal income<br />

loss for people with depression reaches<br />

an average <strong>of</strong> $10,400 annually, with a<br />

lifetime total cost <strong>of</strong> $300,000. 5 Individuals<br />

with depression take an average <strong>of</strong> 10<br />

sick days a year. 6 Time missed from work<br />

or school due to depression is higher than<br />

many anxiety <strong>and</strong> emotional disorders.<br />

• Inefficiencies in diagnosing <strong>and</strong> applying<br />

evidence-based treatments for depression<br />

add to loss <strong>of</strong> productivity <strong>and</strong> affect<br />

mental <strong>and</strong> physical well-being. 7,8<br />

• The risk <strong>of</strong> physical <strong>and</strong> functional<br />

impairments because <strong>of</strong> missed work<br />

or school can increase as well-being<br />

deteriorates. Responsible, evidence-based<br />

medication management may improve <strong>the</strong><br />

secondary impact <strong>of</strong> <strong>the</strong> disease. 9<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> adults 18 years <strong>of</strong> age<br />

<strong>and</strong> older who were diagnosed with a new<br />

episode <strong>of</strong> major depression <strong>and</strong> treated with<br />

antidepressant medication, <strong>and</strong> who remained<br />

on an antidepressant medication treatment.<br />

Two rates are reported.<br />

• Effective Acute Phase Treatment. The<br />

percentage <strong>of</strong> newly diagnosed <strong>and</strong> treated<br />

people who remained on an antidepressant<br />

medication for at least 84 days (12 weeks).


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

• Effective Continuation Phase Treatment.<br />

The percentage <strong>of</strong> newly diagnosed <strong>and</strong><br />

treated people who remained on an<br />

antidepressant medication for at least 180<br />

days (6 months).<br />

results<br />

Measurement <strong>of</strong> both rates will address<br />

<strong>the</strong> incomplete prescribing <strong>and</strong> use <strong>of</strong><br />

antidepressants that contribute to negative<br />

economic, clinical <strong>and</strong> public health<br />

outcomes. 10 <strong>Improvement</strong>s in antidepressant<br />

medication adherence will reduce <strong>the</strong> burden<br />

<strong>of</strong> relapse <strong>and</strong> reoccurrence. 11<br />

yEAR<br />

aCutE PHasE<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 64.7 64.3 65.0 67.4 50.7<br />

2009 62.9 63.2 63.7 63.4 49.6<br />

2008 63.1 63.1 62.5 61.6 48.2<br />

2007 62.9 63.8 61.2 61.0 42.8<br />

2006 61.1 63.6 58.2 56.7 42.9<br />

2005 61.3 65.6 55.0 49.2 45.1<br />

2004 60.9 NA 56.4 NA 46.4<br />

2003 60.7 NA 53.3 NA 46.2<br />

2002 59.8 NA 52.1 NA 47.5<br />

2001 56.9 NA 51.2 NA 45.5<br />

2000 57.4 NA NA NA NA<br />

1999 58.8 NA NA NA NA<br />

yEAR<br />

ContInuatIon PHasE<br />

69<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 48.3 48.1 51.9 55.7 34.4<br />

2009 46.2 46.4 50.6 51.0 33.0<br />

2008 46.3 46.4 49.3 48.9 31.8<br />

2007 46.1 47.6 48.7 48.7 27.4<br />

2006 45.1 46.6 45.1 40.9 27.5<br />

2005 45.0 48.4 41.1 31.1 29.7<br />

2004 44.3 NA 42.4 NA 30.4<br />

2003 44.1 NA 39.2 NA 29.3<br />

2002 42.8 NA 37.7 NA 32.4<br />

2001 40.1 NA 36.8 NA 30.0<br />

2000 40.1 NA NA NA NA<br />

1999 42.1 NA NA NA NA<br />

C H R o N I C D I S E A S E M A N A G E M E N T


C H R o N I C D I S E A S E M A N A G E M E N T<br />

70<br />

In 2009, an estimated 21.8 million persons 12 or older were classified with substance<br />

dependence or abuse. <strong>of</strong> <strong>the</strong>se, 70 percent were dependent on or abused alcohol, 15 percent<br />

abused or were dependent on both alcohol <strong>and</strong> illicit drugs <strong>and</strong> 16 percent were dependent on<br />

or abused illicit drugs. 1,2 The Initiation <strong>and</strong> Engagement <strong>of</strong> Alcohol <strong>and</strong> O<strong>the</strong>r Drug Dependence<br />

Treatment measure monitors whe<strong>the</strong>r adolescents <strong>and</strong> adult members with an episode <strong>of</strong> alcohol<br />

or drug dependence initiated <strong>and</strong> followed up on necessary treatment.<br />

• The primary goals <strong>of</strong> drug abuse or<br />

addiction treatment are abstinence, relapse<br />

prevention <strong>and</strong> rehabilitation. less than<br />

20 percent <strong>of</strong> people diagnosed with<br />

substance abuse <strong>and</strong> less than 40 percent<br />

<strong>of</strong> those with addiction problems seek<br />

treatment. 3<br />

• one in four deaths in <strong>the</strong> U.S. is attributed<br />

to alcohol, tobacco or illicit drugs. 6<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Total overall costs <strong>of</strong> substance abuse in<br />

<strong>the</strong> U.S., including productivity, health <strong>and</strong><br />

crime-related costs, exceed $600 billion<br />

annually. Every American adult pays<br />

nearly $1,000 per year for <strong>the</strong> damages <strong>of</strong><br />

addiction. 4,5<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

INITIATIoN AND ENGAGEMENT <strong>of</strong> AlCoHol<br />

AND oTHER DRUG DEPENDENCE TREATMENT<br />

• The health burden <strong>of</strong> substance use<br />

includes <strong>the</strong> harmful effects <strong>of</strong> acute<br />

intoxication, substance use-associated<br />

injury <strong>and</strong> violence <strong>and</strong> <strong>the</strong> consequences<br />

<strong>of</strong> numerous medical <strong>and</strong> psychiatric<br />

disorders associated with chronic alcohol<br />

<strong>and</strong> o<strong>the</strong>r drug (AoD) use. 6<br />

• Treatment is essential to stem <strong>the</strong> economic<br />

<strong>and</strong> human costs associated AoD<br />

dependence or addiction. Treatment<br />

frequency <strong>and</strong> intensity <strong>of</strong> engagement is<br />

important for successful outcomes. 3,7<br />

HEdIs Measure definition<br />

This measure asses <strong>the</strong> percentage <strong>of</strong> adolescent<br />

<strong>and</strong> adults with a new episode <strong>of</strong> AoD<br />

dependence who received <strong>the</strong> following care.<br />

• Initiation <strong>of</strong> AOD Treatment. The<br />

percentage <strong>of</strong> people who initiated<br />

treatment through an inpatient AoD<br />

admission, outpatient visit, intensive<br />

outpatient encounter or partial<br />

hospitalization within 14 days <strong>of</strong> <strong>the</strong><br />

diagnosis.<br />

• Engagement <strong>of</strong> AOD Treatment. The<br />

percentage <strong>of</strong> people with a diagnosis <strong>of</strong><br />

AoD use or dependence who initiated<br />

treatment <strong>and</strong> had two or more additional<br />

services within 30 days <strong>of</strong> <strong>the</strong> initiation visit.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

results<br />

Research suggests that treatment reduces drug<br />

use, improves health <strong>and</strong> job performance,<br />

reduces involvement with <strong>the</strong> criminal justice<br />

system, reduces family dysfunction <strong>and</strong><br />

improves quality <strong>of</strong> life. 3,7<br />

yEAR<br />

EngagEMEnt<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 15.6 16.0 3.7 4.8 14.2<br />

2009 16.1 15.7 4.6 4.2 12.3<br />

2008 16.2 16.2 4.3 9.4 12.4<br />

2007 15.2 15.2 4.5 6.3 14.4<br />

2006 13.8 16.0 4.5 7.0 11.7<br />

2005 14.1 15.3 4.7 3.2 9.7<br />

2004 15.5 NA 7.1 NA 11.9<br />

yEAR<br />

InItIatIon<br />

71<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 42.7 40.8 44.6 57.4 42.9<br />

2009 42.7 41.8 46.2 57.4 44.3<br />

2008 42.4 42.6 45.9 49.1 44.5<br />

2007 44.5 46.0 50.4 56.5 45.6<br />

2006 43.2 49.0 50.3 50.0 43.3<br />

2005 44.5 45.8 50.9 52.3 40.7<br />

2004 45.9 NA 52.6 NA 45.7<br />

C H R o N I C D I S E A S E M A N A G E M E N T


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

72<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

APPRoPRIATE TREATMENT foR CHIlDREN<br />

WITH UPPER RESPIRAToRy INfECTIoN<br />

Upper respiratory infections (URI) are self-regulating viral infections that cannot be treated<br />

by antibiotics. 1 Despite this, clinical practice trends show that antibiotics are <strong>of</strong>ten prescribed,<br />

leading to a trend in overuse <strong>and</strong> growing antimicrobial resistance among patients. 1 Also known<br />

as <strong>the</strong> “common cold,” URIs target <strong>the</strong> lining <strong>of</strong> <strong>the</strong> throat <strong>and</strong> nose, resulting in fever, congestion,<br />

coughing <strong>and</strong> o<strong>the</strong>r symptoms. 2 The Appropriate Treatment for Children With Upper Respiratory<br />

Infection measure evaluates whe<strong>the</strong>r children were properly treated for URIs by not receiving<br />

antibiotics unless deemed appropriate by a clinician.<br />

• Approximately over 100 million antibiotic<br />

prescriptions are written in <strong>the</strong> ambulatory<br />

care setting every year. 3<br />

• According to <strong>the</strong> Centers for Disease<br />

Control <strong>and</strong> Prevention, antibiotics were<br />

prescribed during 68 percent <strong>of</strong> URI visits.<br />

<strong>of</strong> <strong>the</strong>se visits, 80 percent did not require<br />

<strong>the</strong> prescription <strong>of</strong> antibiotics as defined by<br />

practice guidelines. 4<br />

• In 2005, <strong>the</strong>re were 1.17 billion visits<br />

to ambulatory clinics <strong>and</strong> emergency<br />

departments. 11 percent (130 million visits)<br />

were for acute respiratory infections. 7<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• In <strong>the</strong> U.S., URIs are responsible for<br />

nearly $17 billion in direct costs (e.g.,<br />

physician services <strong>and</strong> treatment because<br />

<strong>of</strong> complications) <strong>and</strong> $22.5 billion in<br />

indirect costs (e.g., absenteeism <strong>and</strong> lost<br />

productivity) every year. 6<br />

• Studies have shown that up to 60 percent<br />

<strong>of</strong> patients with colds or URIs seen in <strong>the</strong><br />

emergency department are prescribed<br />

antibiotics, which have not demonstrated<br />

improvement in clinical outcomes. 5<br />

• overuse <strong>of</strong> antibiotics is a significant issue<br />

in URI treatment. A survey conducted<br />

in 2004 illustrated that among children<br />

seen in a primary practice, outpatient<br />

or emergency department setting, those<br />

diagnosed with viral URIs experienced<br />

even higher rates <strong>of</strong> antibiotic prescription,<br />

even though antibiotics are ineffective for<br />

treating viral infections. 8


HEdIs Measure definition<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

The percentage <strong>of</strong> children 3 months–18 years<br />

<strong>of</strong> age who were diagnosed with a URI <strong>and</strong><br />

were not dispensed an antibiotic prescription.<br />

results<br />

Antibiotic treatment is only infrequently<br />

appropriate for URIs. Misuse or overuse can<br />

be avoided by prescribing treatment when<br />

necessary, as well as educating patients<br />

<strong>and</strong> clinicians about <strong>the</strong> use <strong>of</strong> antibiotics in<br />

treating URIs. 8<br />

yEAR<br />

trEatMEnt ratE<br />

73<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 85.1 83.7 NA NA 87.2<br />

2009 84.1 82.5 NA NA 86.0<br />

2008 83.9 83.3 NA NA 85.5<br />

2007 83.5 83.0 NA NA 84.1<br />

2006 82.8 82.1 NA NA 83.4<br />

2005 82.9 81.9 NA NA 82.4<br />

2004 82.7 NA NA NA 79.9<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

74<br />

• The two most common methods <strong>of</strong><br />

screening children for lead poisoning are<br />

venous blood sampling (inserting a needle<br />

into a vein) <strong>and</strong> capillary blood sampling<br />

(finger or heel stick). 4<br />

• Children with elevated blood lead levels<br />

have increased all-cause mortality. 5<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Although lead-based paints were<br />

banned for use in housing units in 1978,<br />

approximately 24 million homes in <strong>the</strong><br />

United States contain lead paint <strong>and</strong><br />

elevated levels <strong>of</strong> lead-contaminated house<br />

dust. More than 4 million <strong>of</strong> <strong>the</strong>se homes<br />

are inhabited by young children. 6<br />

• The total annual costs <strong>of</strong> environmental<br />

pollutants are estimated at $76.6 billion.<br />

<strong>of</strong> this, $50.9 billion is attributable to lead<br />

poisoning. 7<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

lEAD SCREENING IN CHIlDREN<br />

lead poisoning is highly toxic <strong>and</strong> can cause cognitive impairment, behavioral disorders,<br />

seizures <strong>and</strong> death. 1,2 Children are especially at risk for developing lead poisoning.<br />

Approximately 250,000 children under <strong>the</strong> age <strong>of</strong> 5 have elevated blood lead levels (>10<br />

micrograms <strong>of</strong> lead per deciliter <strong>of</strong> blood). 3 The Lead Screening in Children measure gauges <strong>the</strong><br />

number <strong>of</strong> children tested for lead poisoning before <strong>the</strong>y turn 2.<br />

• low-income children, non-Hispanic black<br />

children <strong>and</strong> children living in housing<br />

built before 1950 are disproportionately<br />

affected by lead poisoning. for <strong>the</strong>se<br />

populations, blood lead levels have<br />

remained consistently high, even though<br />

<strong>the</strong>y have declined for <strong>the</strong> overall<br />

population by 84 percent since 1988. 8<br />

HEdIs Measure definition<br />

This measure assesses <strong>the</strong> percentage <strong>of</strong><br />

children 2 years <strong>of</strong> age who had one or more<br />

capillary or venous lead blood test for lead<br />

poisoning by <strong>the</strong>ir second birthday.<br />

results<br />

lead poisoning is a common medical<br />

condition causing serious bodily harm in<br />

children, one <strong>of</strong> <strong>the</strong> most vulnerable <strong>of</strong><br />

populations. Screening is an inexpensive<br />

way to detect <strong>the</strong> presence <strong>of</strong> lead in a child’s<br />

environment <strong>and</strong> reduce fur<strong>the</strong>r exposure.<br />

yEAR<br />

sCrEEnIng ratE<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA NA NA 66.2<br />

2009 NA NA NA NA 66.4<br />

2008 NA NA NA NA 66.7


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

AMbUlAToRy CARE: EMERGENCy DEPARTMENT VISITS<br />

Although visits to <strong>the</strong> emergency department (ED) do not indicate poor quality <strong>of</strong> care,<br />

unnecessary use <strong>of</strong> emergency care may signal a lack <strong>of</strong> access to more appropriate sources <strong>of</strong><br />

medical attention. 1 The Ambulatory Care: ED Visits measure assesses <strong>the</strong> number <strong>of</strong> people who<br />

visited <strong>the</strong> ED during <strong>the</strong> measurement year. In 2007 <strong>the</strong>re were nearly 120 million ED visits,<br />

an increase <strong>of</strong> 23 percent from 1997. <strong>of</strong> <strong>the</strong>se, more than 34 percent occurred during normal<br />

business hours. 2<br />

• Approximately 40 percent <strong>of</strong> ED visits are<br />

not urgent. Many <strong>of</strong> <strong>the</strong>se visits occur when<br />

patients cannot be seen by <strong>the</strong>ir primary<br />

care physician. 3<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Avoidable use <strong>of</strong> urgent care contributes to<br />

ED overcrowding, an increasingly common<br />

problem in <strong>the</strong> United States. 4 More than<br />

48 percent <strong>of</strong> EDs are at or over patient<br />

capacity, 5 which can be a threat to patient<br />

safety <strong>and</strong> public health. 6<br />

• Increased ED wait time is frustrating for<br />

patients, especially when <strong>the</strong>y visit <strong>the</strong> ED<br />

for routine care. Research has shown that<br />

patients with urgent symptoms are more<br />

satisfied with <strong>the</strong>ir emergency care than<br />

patients with nonurgent symptoms. 7<br />

75<br />

• Time spent waiting is costly in terms <strong>of</strong><br />

productivity. More than 65 percent <strong>of</strong><br />

people visiting <strong>the</strong> ED spent over two hours<br />

in <strong>the</strong> facility. Almost 9 percent left before<br />

being seen by a physician. 2<br />

HEdIs Measure definition<br />

This measure summarizes utilization <strong>of</strong><br />

ambulatory care by calculating <strong>the</strong> number <strong>of</strong><br />

ED visits per measurement year.<br />

results<br />

When possible, unnecessary ED visits should<br />

be avoided; <strong>the</strong>y lead to ED overcrowding,<br />

increased wait time <strong>and</strong> lower patient<br />

satisfaction. Access to o<strong>the</strong>r sources <strong>of</strong><br />

ambulatory care can improve patient<br />

outcomes <strong>and</strong> keep <strong>the</strong> quality <strong>of</strong> care high.<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

vIsIts PEr 1,000 MEMbEr MontHs<br />

yEAR<br />

76<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 187.4 174.0 450.3 379.0 62.0<br />

2009 196.7 182.5 461.4 371.1 67.4<br />

2008 194.5 181.3 459.1 395.7 60.2<br />

2007 200.8 191.1 457.9 411.3 61.4<br />

2006 200.5 188.7 403.9 375.2 56.6<br />

2005 187.5 186.0 316.0 264.0 54.4<br />

2004 177.5 NA 306.3 NA 48.5<br />

2003 181.3 NA 292.3 NA 49.2<br />

2002 182.6 NA 279.8 NA 49.4<br />

2001 176.9 NA 276.1 NA 46.2<br />

2000 164.3 NA NA NA NA<br />

1999 150.3 NA NA NA NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

PRENATAl AND PoSTPARTUM CARE &<br />

fREQUENCy <strong>of</strong> oNGoING PRENATAl CARE<br />

Among <strong>the</strong> 4.3 million deliveries in 2008, 94 percent listed some type <strong>of</strong> pregnancy<br />

complication. 1,2 Each year, more than 500,000 pregnant women across <strong>the</strong> U.S. deliver babies<br />

with potentially avoidable complications such as preterm birth, low birthweight <strong>and</strong> pre-eclampsia. 2<br />

The Prenatal <strong>and</strong> Postpartum Care <strong>and</strong> Frequency <strong>of</strong> Ongoing Prenatal Care measures assess<br />

whe<strong>the</strong>r women have access to timely <strong>and</strong> consistent prenatal <strong>and</strong> postpartum care.<br />

• Diabetes, hypertension <strong>and</strong> postpartum<br />

depression are <strong>the</strong> most commonly reported<br />

health conditions among pregnant women. 3<br />

• Prenatal care during <strong>the</strong> first trimester<br />

helps to improve maternal health <strong>and</strong><br />

survival, <strong>and</strong> results in improved infant<br />

survival by linking women who have highrisk<br />

pregnancies to better obstetrical <strong>and</strong><br />

neonatal care. 3<br />

• Postpartum care encompasses management<br />

<strong>of</strong> <strong>the</strong> mo<strong>the</strong>r <strong>and</strong> <strong>the</strong> newborn infant<br />

<strong>and</strong> is aimed at detecting early parenting<br />

problems <strong>and</strong> performing physical exams<br />

<strong>and</strong> postpartum depression screenings. 4<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Hospital stays with pregnancy-related<br />

complications tended to be longer<br />

(2.7–2.9 days) than without complicating<br />

conditions (1.9 days). Maternal stays with<br />

complicating conditions were also about<br />

50 percent more costly ($8,000) than<br />

those without complications ($2,600). In<br />

2008, maternal stays with pregnancy <strong>and</strong><br />

delivery-related complications accounted<br />

77<br />

for $17.4 billion, or nearly 5 percent <strong>of</strong><br />

total hospital costs in <strong>the</strong> U.S. 1<br />

• Women who failed to receive prenatal care<br />

were almost three times more likely to have<br />

a low-birthweight infant than women who<br />

had care, resulting in expected hospital<br />

cost savings <strong>of</strong> more than $1,000 for<br />

women who received prenatal care. 5<br />

• Women who receive only <strong>the</strong> minimal<br />

amount <strong>of</strong> prenatal care are at high risk<br />

for pregnancy complication <strong>and</strong> negative<br />

birth outcomes. 8,10 More than 11 percent<br />

<strong>of</strong> pregnant women receive inadequate<br />

prenatal care each year. 9<br />

• Early, comprehensive <strong>and</strong> continuous<br />

prenatal <strong>and</strong> postpartum care can promote<br />

healthier pregnancies <strong>and</strong> reduce <strong>the</strong><br />

risk <strong>of</strong> costly, adverse birth outcomes <strong>and</strong><br />

postpartum depression. 6,7<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

78<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs Measure definition<br />

This measure has two indicators related to<br />

deliveries <strong>of</strong> live births between November 6<br />

<strong>of</strong> <strong>the</strong> year prior to <strong>the</strong> measurement year <strong>and</strong><br />

November 5 <strong>of</strong> <strong>the</strong> measurement year.<br />

• Timeliness <strong>of</strong> Prenatal Care: The percentage<br />

<strong>of</strong> deliveries that received a prenatal care<br />

visit in <strong>the</strong> first trimester or within 42 days<br />

<strong>of</strong> enrollment in <strong>the</strong> health plan.<br />

• Postpartum Care: The percentage <strong>of</strong><br />

deliveries that had a postpartum visit on or<br />

between 21 <strong>and</strong> 56 days after delivery.<br />

The Frequency <strong>of</strong> Ongoing Prenatal Care<br />

measure assesses <strong>the</strong> percentage <strong>of</strong> Medicaid<br />

deliveries between November 6 <strong>of</strong> <strong>the</strong> year<br />

prior to <strong>the</strong> measurement year <strong>and</strong> November<br />

5 <strong>of</strong> <strong>the</strong> measure year that received <strong>the</strong><br />

following number <strong>of</strong> expected prenatal visits:<br />


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

PostPartuM vIsIt bEtWEEn 21<br />

<strong>and</strong> 56 days aftEr dElIvEry<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 80.7 65.9 NA NA 64.4<br />

2009 83.6 54.1 NA NA 64.1<br />

2008 82.8 45.8 NA NA 62.6<br />

2007 82.0 41.6 NA NA 58.6<br />

2006 79.9 46.3 NA NA 59.1<br />

2005 81.5 62.8 NA NA 57.2<br />

2004 80.6 NA NA NA 56.5<br />

2003 80.3 NA NA NA 55.3<br />

2002 77.0 NA NA NA 52.1<br />

2001 77.0 NA NA NA 53.0<br />

frEQuEnCy <strong>of</strong> PrEnatal CarE<br />

vIsIts—>80% <strong>of</strong> ExPECtEd vIsIts<br />

yEAR<br />

79<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA NA NA 61.1<br />

2009 NA NA NA NA 61.6<br />

2008 NA NA NA NA 58.7<br />

2007 NA NA NA NA 59.6<br />

2006 NA NA NA NA 58.6<br />

2005 NA NA NA NA 55.8<br />

2004 NA NA NA NA 51.5<br />

2003 NA NA NA NA 48.2<br />

2002 NA NA NA NA 41.0<br />

2001 NA NA NA NA 39.2<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

80<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CHlAMyDIA SCREENING IN WoMEN<br />

Chlamydia is <strong>the</strong> most commonly reported bacterial sexually transmitted disease in <strong>the</strong> United<br />

States, occurring most <strong>of</strong>ten among adolescent <strong>and</strong> young adult females. 1,2 Chlamydia is<br />

<strong>of</strong>ten known as a “silent” disease because most infected people are asymptomatic. 1 Untreated<br />

chlamydia infections can lead to serious <strong>and</strong> irreversible complications, including pelvic<br />

inflammatory disease (PID), infertility <strong>and</strong> increased risk <strong>of</strong> becoming infected with HIV. 1,3 The<br />

Chlamydia Screening in Women measure looks at <strong>the</strong> percentage <strong>of</strong> non-pregnant, sexually<br />

active women 24 years <strong>of</strong> age <strong>and</strong> younger who are screened annually for chlamydia, as<br />

recommended by <strong>the</strong> U.S. Preventive Services Task force. 4<br />

• Approximately 75 percent <strong>of</strong> chlamydia<br />

infections in women <strong>and</strong> 95 percent in men<br />

are asymptomatic, resulting in delayed<br />

medical care <strong>and</strong> treatment. 5<br />

• between 10 percent <strong>and</strong> 15 percent <strong>of</strong><br />

untreated chlamydia infections result in<br />

PID, which can lead to ectopic pregnancy<br />

<strong>and</strong> infertility. 1 As many as 15 percent <strong>of</strong><br />

women with PID will become infertile. 5<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• The estimated annual cost <strong>of</strong> chlamydia<br />

infections is approximately $647 million.<br />

The lifetime medical cost <strong>of</strong> chlamydia is<br />

about $315 per case for females. If <strong>the</strong><br />

infection leads to PID, treatment can range<br />

between $1,060 to $3,180 per case. 6<br />

• Chlamydia is easily detected <strong>and</strong> treated,<br />

but screening remains underutilized.<br />

Challenges affecting annual screening<br />

rates include lack <strong>of</strong> awareness, social<br />

stigma, barriers to finding <strong>and</strong> treating sex<br />

partners <strong>of</strong> infected women <strong>and</strong> difficulties<br />

in measuring <strong>the</strong> public health impact. 2<br />

• Multiple chlamydia infections increase a<br />

woman’s risk <strong>of</strong> serious reproductive health<br />

complications. 7<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> women 16–24 years <strong>of</strong> age<br />

who were identified as sexually active <strong>and</strong><br />

who had at least one test for chlamydia during<br />

<strong>the</strong> measurement year.<br />

results<br />

If recommended annual chlamydia screening<br />

guidelines were followed, as many as 60,000<br />

cases <strong>of</strong> PID, 8,000 cases <strong>of</strong> chronic pelvic<br />

pain <strong>and</strong> 7,500 cases <strong>of</strong> infertility could be<br />

prevented each year. 8


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

16–20 yEars<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 40.8 38.1 NA NA 54.6<br />

2009 41.0 37.7 NA NA 54.4<br />

2008 40.1 36.7 NA NA 52.7<br />

2007 36.4 32.4 NA NA 48.6<br />

2006 36.2 29.4 NA NA 50.5<br />

2005 34.4 26.2 NA NA 49.2<br />

2004 32.6 NA NA NA 45.9<br />

2003 30.4 NA NA NA 44.3<br />

2002 26.7 NA NA NA 40.8<br />

2001 24.5 NA NA NA 39.6<br />

2000 23.6 NA NA NA NA<br />

1999 18.5 NA NA NA NA<br />

yEAR<br />

21–24 yEars<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 45.7 41.9 NA NA 62.3<br />

2009 45.4 41.4 NA NA 61.6<br />

2008 43.5 39.4 NA NA 59.4<br />

2007 39.2 34.9 NA NA 54.0<br />

2006 38.0 31.2 NA NA 55.0<br />

2005 35.2 27.6 NA NA 52.5<br />

2004 31.7 NA NA NA 49.0<br />

2003 29.1 NA NA NA 46.0<br />

2002 24.5 NA NA NA 41.5<br />

2001 22.1 NA NA NA 41.1<br />

2000 20.7 NA NA NA NA<br />

1999 16.0 NA NA NA NA<br />

yEAR<br />

total ratE<br />

81<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 43.1 40.0 NA NA 57.5<br />

2009 43.1 39.5 NA NA 56.7<br />

2008 41.7 38.0 NA NA 54.9<br />

2007 38.1 33.8 NA NA 50.7<br />

2006 37.3 30.4 NA NA 52.4<br />

2005 34.9 26.9 NA NA 50.7<br />

2004 32.2 NA NA NA 47.2<br />

2003 29.7 NA NA NA 44.9<br />

2002 25.4 NA NA NA 40.9<br />

2001 23.1 NA NA NA 40.4<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

82<br />

• Mental illness accounts for more burden<br />

from disease than all forms <strong>of</strong> cancer<br />

combined. 3<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

folloW-UP AfTER HoSPITAlIzATIoN<br />

foR MENTAl IllNESS<br />

Mental illness affects about 1 in 4 adults, <strong>and</strong> approximately 15 million adults in <strong>the</strong> United<br />

States suffer from a serious mental illness. 1,2 less than half <strong>of</strong> adults with a serious mental illness<br />

receive treatment or counseling. 2 The Follow-Up After Hospitalization for Mental Illness measure<br />

assesses whe<strong>the</strong>r patients 6 years <strong>of</strong> age <strong>and</strong> older who were hospitalized for treatment <strong>of</strong><br />

selected mental health disorders were seen by a mental health provider.<br />

• The World Health organization has<br />

reported that 4 <strong>of</strong> <strong>the</strong> 10 leading causes <strong>of</strong><br />

disability in <strong>the</strong> U.S. <strong>and</strong> o<strong>the</strong>r developed<br />

countries are mental disorders. by 2020,<br />

it is expected that mental illness will be <strong>the</strong><br />

leading cause <strong>of</strong> disability in <strong>the</strong> world for<br />

women <strong>and</strong> children. 4<br />

• Half <strong>of</strong> first-time psychiatric patients were<br />

readmitted within two years <strong>of</strong> hospital<br />

discharge; appropriate follow-up care<br />

is known to reduce <strong>the</strong> risk <strong>of</strong> repeat<br />

hospitalization. 5,6<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• The economic burden <strong>of</strong> serious mental<br />

illness is estimated at $317 billion dollars<br />

<strong>and</strong> includes <strong>the</strong> cost <strong>of</strong> health services,<br />

loss <strong>of</strong> earning <strong>and</strong> disability benefits. 7<br />

• Suicide is <strong>the</strong> 11th leading cause <strong>of</strong><br />

death in <strong>the</strong> U.S., accounting for 30,000<br />

deaths each year, <strong>and</strong> could be caused by<br />

untreated depression. 8<br />

• In 2008, 30 million adults received<br />

treatment for mental health problems. 9 In<br />

2005, more than 2 million patients were<br />

discharged from a hospital with a mental<br />

disorder. 10<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> discharges for members<br />

6 years <strong>of</strong> age <strong>and</strong> older who were<br />

hospitalized for treatment <strong>of</strong> selected mental<br />

health disorders <strong>and</strong> who had an outpatient<br />

visit, an intensive outpatient encounter or<br />

partial hospitalization with a mental health<br />

practitioner. The measure separately identifies<br />

<strong>the</strong> percentage <strong>of</strong> members who received<br />

follow-up within 7 <strong>and</strong> 30 days <strong>of</strong> discharge.<br />

results<br />

Proper follow-up treatment for psychiatric<br />

hospitalization can lead to improved quality<br />

<strong>of</strong> life for patients, families <strong>and</strong> society as a<br />

whole.


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

WItHIn 7 days Post-dIsCHargE<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 59.7 54.2 37.4 39.1 44.6<br />

2009 58.7 52.6 37.3 40.6 42.9<br />

2008 57.2 49.8 38.1 37.3 42.6<br />

2007 55.6 41.9 37.0 33.3 42.5<br />

2006 56.7 48.3 36.9 38.5 39.1<br />

2005 55.8 49.9 39.2 47.1 39.2<br />

2004 55.9 NA 40.1 NA 38.0<br />

2003 54.4 NA 38.8 NA 37.7<br />

2002 52.7 NA 38.7 NA 37.2<br />

2001 51.3 NA 37.2 NA 33.2<br />

2000 48.2 NA NA NA NA<br />

1999 47.4 NA NA NA NA<br />

WItHIn 30 days Post-dIsCHargE<br />

yEAR<br />

83<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 77.4 74.1 55.4 61.2 63.8<br />

2009 76.8 72.1 54.8 60.5 60.2<br />

2008 76.1 71.4 56.5 55.5 61.7<br />

2007 74.0 63.4 54.4 50.2 61.0<br />

2006 75.8 68.1 56.3 58.3 57.7<br />

2005 75.9 70.7 59.4 60.1 56.8<br />

2004 75.9 NA 60.7 NA 54.9<br />

2003 74.4 NA 60.3 NA 56.4<br />

2002 73.6 NA 60.6 NA 56.7<br />

2001 73.2 NA 60.6 NA 52.2<br />

2000 71.2 NA NA NA NA<br />

1999 70.1 NA NA NA NA<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

84<br />

over <strong>the</strong> last 10 years, <strong>the</strong> Centers for Disease Control <strong>and</strong> Prevention (CDC) have increased<br />

efforts to prevent <strong>the</strong> misuse <strong>of</strong> antibiotics to treat respiratory infections, particularly pharyngitis.<br />

Pharyngitis, or sore throat, is common in children <strong>and</strong> adolescents <strong>and</strong> can be caused by a<br />

bacteria or virus. 1 The Appropriate Testing for Children With Pharyngitis measure evaluates<br />

whe<strong>the</strong>r children are properly treated for pharyngitis after undergoing diagnostic testing, <strong>the</strong>reby<br />

avoiding <strong>the</strong> build-up <strong>of</strong> antibiotic resistance.<br />

• Pharyngitis affects a large number <strong>of</strong><br />

individuals <strong>and</strong> is responsible for 12<br />

million primary care visits each year in <strong>the</strong><br />

U.S. 2<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

APPRoPRIATE TESTING foR CHIlDREN<br />

WITH PHARyNGITIS<br />

• The bacteria most commonly associated<br />

with pharyngitis (Group A streptococcus)<br />

is responsible for up to 30 percent <strong>of</strong><br />

pharyngitis cases in children. 3 In winter<br />

<strong>and</strong> early spring, up to 15 percent <strong>of</strong><br />

school-age children may carry <strong>the</strong> bacteria<br />

without displaying symptoms. 4<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Pharyngitis has a significant financial<br />

burden on children <strong>and</strong> adults alike,<br />

costing an estimated $224 million–<br />

$539 million <strong>and</strong> resulting in 1,300 deaths<br />

every year. 5<br />

• Pharyngitis <strong>of</strong>ten is overdiagnosed. While<br />

<strong>the</strong>re are differing opinions on performing<br />

rapid antigen detection testing (RADT) <strong>and</strong><br />

throat cultures, clinical guidelines strongly<br />

recommend performing a diagnostic test or<br />

a throat culture before treatment. 6<br />

• Infections resulting from pharyngitis can<br />

have lifestyle <strong>and</strong> productivity effects. one<br />

study found that both children <strong>and</strong> parents<br />

missed a notable number <strong>of</strong> school <strong>and</strong><br />

work days because <strong>of</strong> pharyngitis-related<br />

treatment <strong>and</strong> management. 7<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> children 2–18 years <strong>of</strong><br />

age who were diagnosed with pharyngitis<br />

<strong>and</strong> dispensed an antibiotic, <strong>and</strong> who also<br />

received a group A streptococcus test for<br />

<strong>the</strong> episode. A higher rate represents better<br />

performance (i.e., appropriate testing).<br />

results<br />

Antibiotic treatment is only infrequently<br />

appropriate for pharyngitis. The availability<br />

<strong>of</strong> RADT has made it easier to perform<br />

diagnostics, <strong>the</strong>reby potentially reducing<br />

antibiotic use <strong>and</strong> preventing <strong>the</strong> spread <strong>of</strong><br />

drug-resistant strains <strong>of</strong> pharyngitis. 8


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

tEstIng ratE<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 77.6 76.6 NA NA 64.9<br />

2009 77.4 75.5 NA NA 62.3<br />

2008 75.6 74.1 NA NA 61.4<br />

2007 74.7 73.5 NA NA 58.7<br />

2006 72.7 69.4 NA NA 56.0<br />

2005 69.7 64.5 NA NA 52.0<br />

2004 72.6 NA NA NA 54.4<br />

85<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

86<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

WEll-CHIlD VISITS IN THE fIRST 15 MoNTHS <strong>of</strong> lIfE AND<br />

IN THE THIRD, foURTH, fIfTH AND SIxTH yEARS <strong>of</strong> lIfE<br />

The beginning years <strong>of</strong> childhood are filled with rapid growth <strong>and</strong> development. Well-child visits<br />

<strong>of</strong>fer doctors <strong>the</strong> opportunity to evaluate children’s physical, emotional <strong>and</strong> social developmental<br />

progress. 1,2 The Well-Child Visits measures assess <strong>the</strong> number <strong>of</strong> children that met with a primary<br />

care practitioner during <strong>the</strong>ir most important developmental milestones.<br />

• Primary care practitioners may detect<br />

health problems <strong>and</strong> developmental<br />

delays early <strong>and</strong> initiate interventions that<br />

eliminate problems or lessen <strong>the</strong>ir effect<br />

over <strong>the</strong> long term. 1,2<br />

• Well-child visits facilitate communication<br />

between children, care providers <strong>and</strong><br />

doctors. 3 Primary care practitioners can<br />

promote healthy behaviors <strong>and</strong> provide<br />

anticipatory guidance on a variety <strong>of</strong><br />

topics, including injury prevention, physical<br />

activity <strong>and</strong> nutrition. 4<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• The number <strong>of</strong> children younger than 6<br />

who received well-child visits increased<br />

from 84 percent in 2000 to 87 percent<br />

in 2008, 1 but almost one million children<br />

under 6 received no preventive medical<br />

care <strong>of</strong> any kind in 2007. 5<br />

• Children with incomplete well-child care<br />

during <strong>the</strong> first six months <strong>of</strong> life are 60<br />

percent more likely to visit <strong>the</strong> emergency<br />

department than children with complete<br />

well-child care. 6<br />

• Development delays occur in approximately<br />

13 percent <strong>of</strong> American children <strong>and</strong> have<br />

high costs to society. 7,8 over <strong>the</strong> course<br />

<strong>of</strong> a lifetime, untreated developmental<br />

delays <strong>and</strong> disabilities are estimated to cost<br />

between $417,000 in direct medical costs<br />

<strong>and</strong> indirect lost productivity per child. 9<br />

HEdIs Measure definition<br />

Well-Child Visits in <strong>the</strong> First 15 Months <strong>of</strong> Life:<br />

The percentage <strong>of</strong> children who turned 15<br />

months old during <strong>the</strong> measurement year <strong>and</strong><br />

had <strong>the</strong> following number <strong>of</strong> well-child visits<br />

with a primary care physician during <strong>the</strong> first<br />

15 months <strong>of</strong> life:<br />

• No well-child visits<br />

• one well-child visit<br />

• Two well child visits<br />

• Three well-child visits<br />

• four well-child visits<br />

• five well-child visits<br />

• Six or more well-child visits.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

Well-Child Visits in <strong>the</strong> Third, Fourth, Fifth<br />

<strong>and</strong> Sixth Years <strong>of</strong> Life: The percentage <strong>of</strong><br />

children 3–6 years <strong>of</strong> age who received one<br />

or more well-child visits with a primary care<br />

practitioner during <strong>the</strong> measurement year.<br />

results<br />

Primary care doctors are an important<br />

resource for parents. Well-child visits facilitate<br />

communication about health between care<br />

givers <strong>and</strong> physicians. Screening for physical,<br />

emotional, social <strong>and</strong> developmental progress<br />

is vital to ensuring <strong>the</strong> health <strong>of</strong> children<br />

during <strong>the</strong>ir most vulnerable years <strong>and</strong> well<br />

into adulthood.<br />

yEAR<br />

agEs 3–6 yEars: onE or<br />

MorE WEll-CHIld vIsIts<br />

87<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 71.6 67.8 NA NA 71.9<br />

2009 70.3 66.0 NA NA 71.6<br />

2008 69.8 63.6 NA NA 69.7<br />

2007 67.8 60.7 NA NA 65.3<br />

2006 66.7 61.6 NA NA 66.8<br />

2005 65.6 54.5 NA NA 63.6<br />

2004 64.4 NA NA NA 62.4<br />

2003 62.7 NA NA NA 60.7<br />

2002 60.4 NA NA NA 58.2<br />

2001 57.5 NA NA NA 56.0<br />

2000 54.2 NA NA NA NA<br />

1999 51.3 NA NA NA NA<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

88<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

ADolESCENT WEll-CARE VISITS<br />

Adolescence is a time marked by transition. As children become adults, <strong>the</strong>y face new physical,<br />

emotional <strong>and</strong> social challenges that may affect <strong>the</strong>ir health. 1 because <strong>of</strong> changing patterns<br />

<strong>of</strong> illness <strong>and</strong> death among youth over <strong>the</strong> last two decades, increased screening <strong>and</strong> health<br />

counseling have become especially important. 2,3 The Adolescent Well-Care Visits measure<br />

assesses <strong>the</strong> number <strong>of</strong> adolescents who received preventive care.<br />

• Risk taking behaviors, such as substance<br />

use, drunk driving, risky sexual activity <strong>and</strong><br />

smoking, <strong>of</strong>ten begin in adolescence. These<br />

behaviors put youth at increased risk for<br />

sexually transmitted diseases, unintended<br />

pregnancy, injury or death. 2,3 In 2009,<br />

almost 20 percent <strong>of</strong> high school students<br />

smoked tobacco. More than 6 percent used<br />

cocaine <strong>and</strong> 24 percent reported binge<br />

drinking (i.e., had five or more alcoholic<br />

drinks within a couple <strong>of</strong> hours). 4<br />

• Many chronic diseases seen in adults begin<br />

in childhood, when eating habits <strong>and</strong><br />

physical activity levels are <strong>of</strong>ten established. 3<br />

With obesity among adolescents in <strong>the</strong><br />

U.S. on <strong>the</strong> rise, this is especially troubling.<br />

obesity can lead to type 2 diabetes, heart<br />

disease <strong>and</strong> certain cancers. 5<br />

• Adolescent well-care visits are an<br />

effective way for doctors to present health<br />

promotion advice that is timely <strong>and</strong><br />

relevant to adolescents’ development <strong>and</strong><br />

well-being. The average preventive visit<br />

lasts about 20 minutes; during this time,<br />

doctors can provide counseling or initiate<br />

health interventions. 6<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Adolescents are <strong>the</strong> least likely to have<br />

access to health care, <strong>and</strong> use less primary<br />

care, than any age group. 3 The proportion<br />

<strong>of</strong> children who receive well-care visits<br />

declines with age. only 70 percent <strong>of</strong><br />

10–14-year-olds <strong>and</strong> 67 percent <strong>of</strong><br />

15–17-year-olds received preventive health<br />

care in 2008. 2 for those who did have a<br />

well-child visit, only 10 percent received all<br />

recommended preventive services. 7<br />

• In 2007, nearly 13,299 deaths from<br />

unintentional injury (such as from a car<br />

accident) were reported among adolescents<br />

between <strong>the</strong> ages <strong>of</strong> 15 <strong>and</strong> 19. 8 The total<br />

lifetime medical costs for adolescents who<br />

survive is estimated to be $25 billion. 9


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

• Each year, preventable adolescent deaths<br />

cost an estimated $33.5 billion in direct<br />

medical costs, <strong>and</strong> lifetime indirect <strong>and</strong><br />

direct costs are more than $700 billion. 10<br />

for those that survive, <strong>the</strong> total lifetime<br />

medical costs for <strong>the</strong>se individuals is<br />

estimated to be $25 billion. 9<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> enrolled adolescents <strong>and</strong><br />

young adults 12–21 years <strong>of</strong> age who had at<br />

least one comprehensive well-care visit with<br />

a primary care practitioner or an ob/GyN<br />

practitioner during <strong>the</strong> measurement year.<br />

results<br />

While most adolescents are healthy, changes<br />

in <strong>the</strong>ir physical <strong>and</strong> social circumstances put<br />

<strong>the</strong>m at increased risk for serious <strong>and</strong> longterm<br />

health effects <strong>of</strong> risky behaviors. yearly<br />

well-care visits <strong>of</strong>fer primary care providers<br />

<strong>the</strong> opportunity to provide <strong>the</strong> screening <strong>and</strong><br />

health counseling services adolescents need to<br />

stay healthy.<br />

yEAR<br />

89<br />

at lEast onE CoMPrEHEnsIvE<br />

WEll-CarE vIsIt<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 42.7 39.2 NA NA 48.1<br />

2009 42.5 38.3 NA NA 47.7<br />

2008 42.9 36.2 NA NA 45.9<br />

2007 41.8 34.7 NA NA 42.1<br />

2006 40.3 34.6 NA NA 43.6<br />

2005 38.8 29.3 NA NA 40.7<br />

2004 38.2 NA NA NA 40.0<br />

2003 37.1 NA NA NA 37.5<br />

2002 35.8 NA NA NA 37.1<br />

2001 33.1 NA NA NA 32.6<br />

2000 30.9 NA NA NA NA<br />

1999 28.9 NA NA NA NA<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

90<br />

• In 2007, more than five million children<br />

0–17 years <strong>of</strong> age had no usual source<br />

<strong>of</strong> care; <strong>the</strong> same number had one or<br />

more unmet medical need during <strong>the</strong> year.<br />

Almost six million children were without a<br />

doctor or nurse who knew <strong>the</strong>ir medical<br />

history. 4<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CHIlDREN AND ADolESCENTS’ ACCESS<br />

To PRIMARy CARE PRACTITIoNERS<br />

Children <strong>and</strong> adolescents need access to primary care practitioners (PCP) to ensure <strong>the</strong>ir optimal<br />

health <strong>and</strong> well-being. 1 PCPs play an important role in preventing illness <strong>and</strong> death in <strong>the</strong><br />

young. 2 The Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners measure assesses<br />

whe<strong>the</strong>r children <strong>and</strong> adolescents were able to obtain medical attention from a PCP, such as a<br />

family doctor, internist, pediatrician or general practitioner.<br />

• Although <strong>the</strong> primary care workforce<br />

increased by 35 percent between 1996<br />

<strong>and</strong> 2006, almost one million children<br />

live in areas with no PCP. Children <strong>and</strong><br />

adolescents living in rural areas are<br />

affected disproportionately. 5<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• fewer than half <strong>of</strong> children <strong>and</strong><br />

adolescents in <strong>the</strong> United States receive <strong>the</strong><br />

recommended amount <strong>of</strong> preventive care. 3<br />

• Accessible primary care reduces hospital<br />

use <strong>and</strong> maintains quality <strong>of</strong> care. 6 Access<br />

to primary care is an effective way to<br />

reduce expensive hospitalizations <strong>and</strong> curb<br />

rising health care costs. 7<br />

• for adolescents, inaccessible care can put<br />

<strong>the</strong>m at risk for developing chronic disease,<br />

substance-use disorders <strong>and</strong> risk-taking<br />

sexual behaviors. 8-10<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> children <strong>and</strong> young adults<br />

12 months to 19 years <strong>of</strong> age who had a<br />

visit with a PCP. The measure reports on four<br />

separate percentages:<br />

• Children 12–24 months who had a visit<br />

with a PCP during <strong>the</strong> measurement year<br />

• Children 25 months–6 years who had a<br />

visit with a PCP during <strong>the</strong> measure year<br />

• Children 7–11 years who had a visit with<br />

a PCP during <strong>the</strong> measure year or <strong>the</strong> year<br />

prior to <strong>the</strong> measurement year<br />

• Adolescents 12–19 years who had a visit<br />

with a PCP during <strong>the</strong> measurement year or<br />

<strong>the</strong> year prior to <strong>the</strong> measurement year.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

results<br />

Improving access to PCPs may reduce<br />

unnecessary medical costs <strong>and</strong> advance health<br />

outcomes for children <strong>and</strong> adolescents by<br />

enabling <strong>the</strong>m to receive preventive services,<br />

screening <strong>and</strong> timely treatment from clinicians<br />

who know <strong>the</strong>ir medical histories <strong>and</strong> serve as<br />

a medical home.<br />

yEAR<br />

CHIldrEn 12–24 MontHs<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 97.5 96.9 NA NA 96.1<br />

2009 97.5 96.2 NA NA 95.2<br />

2008 96.7 95.4 NA NA 95.0<br />

2007 96.9 93.7 NA NA 93.4<br />

2006 97.0 94.2 NA NA 94.1<br />

2005 97.0 95.0 NA NA 92.6<br />

2004 96.8 NA NA NA 92.3<br />

2003 96.3 NA NA NA 92.4<br />

2002 95.7 NA NA NA 91.1<br />

2001 95.2 NA NA NA 90.7<br />

2000 92.5 NA NA NA NA<br />

1999 91.2 NA NA NA NA<br />

yEAR<br />

91<br />

CHIldrEn 25 MontHs–6 yEars<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 91.2 89.1 NA NA 88.3<br />

2009 91.6 89.1 NA NA 88.3<br />

2008 89.7 87.4 NA NA 87.2<br />

2007 89.4 86.3 NA NA 84.3<br />

2006 89.3 86.3 NA NA 84.9<br />

2005 89.3 85.7 NA NA 83.1<br />

2004 88.1 NA NA NA 81.9<br />

2003 88.5 NA NA NA 82.1<br />

2002 87.2 NA NA NA 80.0<br />

2001 85.7 NA NA NA 79.3<br />

2000 82.4 NA NA NA NA<br />

1999 81.3 NA NA NA NA<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

yEAR<br />

92<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CHIldrEn 7–11 yEars<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 91.6 89.4 NA NA 90.2<br />

2009 91.4 89.0 NA NA 90.3<br />

2008 89.9 87.4 NA NA 87.8<br />

2007 89.5 86.8 NA NA 85.9<br />

2006 89.2 85.7 NA NA 85.9<br />

2005 88.6 83.4 NA NA 83.4<br />

2004 88.5 NA NA NA 82.5<br />

2003 88.5 NA NA NA 82.1<br />

2002 87.4 NA NA NA 80.3<br />

2001 85.8 NA NA NA 79.3<br />

2000 83.6 NA NA NA NA<br />

1999 82.6 NA NA NA NA<br />

yEAR<br />

adolEsCEnts 12–19 yEars<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 89.2 86.8 NA NA 88.1<br />

2009 89.0 86.1 NA NA 87.9<br />

2008 87.3 84.2 NA NA 85.3<br />

2007 86.9 83.4 NA NA 82.7<br />

2006 86.6 82.3 NA NA 83.2<br />

2005 86.1 79.8 NA NA 80.9<br />

2004 85.5 NA NA NA 79.3<br />

2003 85.8 NA NA NA 79.6


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

folloW-UP CARE foR CHIlDREN<br />

PRESCRIbED ADHD MEDICATIoN<br />

Attention deficit/hyperactivity disorder (ADHD) typically begins in childhood <strong>and</strong> <strong>of</strong>ten persists<br />

into adulthood. 1 The disorder is characterized by inattention <strong>and</strong> impulsiveness, which can result<br />

in academic underachievement, family issues <strong>and</strong> behavioral problems. 2,3 The Follow-Up Care<br />

for Children Prescribed ADHD Medication measure assesses two rates <strong>of</strong> follow-up care for<br />

children between 6 <strong>and</strong> 12 years <strong>of</strong> age who are prescribed ADHD medication.<br />

• ADHD is one <strong>of</strong> <strong>the</strong> most common mental<br />

disorders in children. Almost 4 percent <strong>of</strong><br />

children in <strong>the</strong> United States between <strong>the</strong> ages<br />

<strong>of</strong> 4 <strong>and</strong> 10 are medicated for ADHD. 1,4,5<br />

• Data from <strong>the</strong> National Health Interview<br />

Survey suggest that roughly half <strong>of</strong> children<br />

between 6 <strong>and</strong> 11 who are diagnosed with<br />

ADHD may also have a learning disorder. 3<br />

The combination <strong>of</strong> attention problems<br />

caused by ADHD <strong>and</strong> <strong>the</strong> learning disorder<br />

can make it hard for a child to succeed<br />

in school. boys are twice as likely to have<br />

ADHD than girls. 1,3<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• The annual cost <strong>of</strong> illness for ADHD in <strong>the</strong><br />

U.S. is estimated to be more than $42 billion. 6<br />

• ADHD may culminate in significant health<br />

care-related costs, including frequent<br />

unintentional injuries, co-occurring<br />

psychiatric conditions <strong>and</strong> productivity loss. 7<br />

• Combining behavioral <strong>the</strong>rapy with<br />

medication has been shown to improve<br />

behavior <strong>and</strong> could lead to a decrease in<br />

medication dependence. 8<br />

93<br />

HEdIs Measure definition<br />

The following two rates <strong>of</strong> this measure assess<br />

follow-up care for children prescribed an<br />

ADHD medication:<br />

• Initiation Phase: The percentage <strong>of</strong> children<br />

between 6 <strong>and</strong> 12 years <strong>of</strong> age diagnosed<br />

with ADHD who had one follow-up<br />

visit with a practitioner with prescribing<br />

authority within 30 days <strong>of</strong> <strong>the</strong>ir first<br />

prescription <strong>of</strong> ADHD medication.<br />

• Continuation <strong>and</strong> Maintenance Phase:<br />

The percentage <strong>of</strong> children between 6<br />

<strong>and</strong> 12 years <strong>of</strong> age with a prescription<br />

for ADHD medication who remained on<br />

<strong>the</strong> medication for at least 210 days <strong>and</strong><br />

had at least two follow-up visits with a<br />

practitioner in <strong>the</strong> 9 months subsequent to<br />

<strong>the</strong> Initiation Phase.<br />

results<br />

Medications used to treat ADHD have known<br />

side effects <strong>and</strong>, like all medications, need to<br />

be closely monitored by a practitioner with<br />

prescribing authority.<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

yEAR<br />

94<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

InItIatIon<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 38.8 38.1 NA NA 38.1<br />

2009 36.6 35.4 NA NA 36.6<br />

2008 35.8 34.1 NA NA 34.4<br />

2007 33.7 31.8 NA NA 33.5<br />

2006 33.0 30.6 NA NA 31.8<br />

yEAR<br />

ContInuatIon<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 43.4 43.3 NA NA 43.9<br />

2009 41.7 39.0 NA NA 41.7<br />

2008 40.2 37.1 NA NA 39.5<br />

2007 38.7 34.2 NA NA 38.9<br />

2006 38.1 30.0 NA NA 34.0


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

CHIlDHooD IMMUNIzATIoN STATUS<br />

Immunizing a child not only protects <strong>the</strong> child’s health but also <strong>the</strong> health <strong>of</strong> <strong>the</strong> community,<br />

especially for those who are not immunized. 1 Infants <strong>and</strong> toddlers are particularly vulnerable<br />

to infectious diseases because <strong>the</strong>ir immune systems have not built up <strong>the</strong> necessary defenses to<br />

fight infection. 2,3 The Childhood Immunization Status measure looks at <strong>the</strong> percentage <strong>of</strong> children<br />

2 years <strong>of</strong> age who receive all immunizations recommended by <strong>the</strong> Advisory Committee on<br />

Immunization Practices <strong>of</strong> <strong>the</strong> Centers for Disease Control <strong>and</strong> Prevention (CDC). 4<br />

• Most childhood vaccines are between<br />

90 percent <strong>and</strong> 99 percent effective in<br />

preventing diseases. 5<br />

• Statistics show dramatic declines in<br />

vaccine-preventable diseases in <strong>the</strong> U.S.<br />

when compared with <strong>the</strong> pre-vaccine<br />

era. Cases <strong>of</strong> diph<strong>the</strong>ria, polio <strong>and</strong><br />

smallpox declined by 100 percent; cases<br />

<strong>of</strong> bacterial meningitis, measles, mumps,<br />

rubella, congenital rubella syndrome <strong>and</strong><br />

tetanus, by 98 percent–99 percent; cases<br />

<strong>of</strong> hepatitis A, by 91 percent; cases <strong>of</strong><br />

whooping cough, by 93 percent; cases<br />

<strong>of</strong> chickenpox, by 89 percent; cases <strong>of</strong><br />

hepatitis b, by 83 percent; <strong>and</strong> cases <strong>of</strong><br />

pneumonia, by 74 percent. 6<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Vaccination <strong>of</strong> each U.S. child according<br />

to <strong>the</strong> current childhood immunization<br />

schedule prevents approximately 42,000<br />

deaths <strong>and</strong> 20 million cases <strong>of</strong> disease <strong>and</strong><br />

saves nearly $14 billion in direct costs <strong>and</strong><br />

$69 billion in societal costs each year. 8,9<br />

95<br />

• The perception among some parents that<br />

vaccines are unsafe for <strong>the</strong>ir children was<br />

heightened in recent years by several<br />

factors, including <strong>the</strong> number <strong>of</strong> vaccines in<br />

<strong>the</strong> recommended childhood immunization<br />

schedule, <strong>the</strong> presence <strong>of</strong> conflicting<br />

vaccine-safety information <strong>and</strong> scientifically<br />

refuted—yet widely publicized—<strong>the</strong>ories that<br />

link vaccines to chronic health problems or<br />

developmental disabilities such as autism. 10<br />

• According to <strong>the</strong> CDC’s National<br />

Immunization Survey, nearly 40 percent <strong>of</strong><br />

parents <strong>of</strong> toddlers delay or refuse at least<br />

one recommended immunization for <strong>the</strong>ir<br />

children each year. 11<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> children 2 years <strong>of</strong><br />

age who had four diph<strong>the</strong>ria, tetanus <strong>and</strong><br />

acellular pertussis (DTaP); three polio (IPV);<br />

one measles, mumps <strong>and</strong> rubella (MMR);<br />

three H influenza type b (Hib); three hepatitis<br />

b (Hepb); one chickenpox (VzV); four<br />

pneumococcal conjugate (PCV); two hepatitis<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

96<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

A (HepA); two or three rotavirus (RV); <strong>and</strong><br />

two influenza (flu) vaccines by <strong>the</strong>ir second<br />

birthday. This measure calculates a rate for<br />

each vaccine <strong>and</strong> nine separate combination<br />

rates; including a comprehensive rate.<br />

results<br />

Immunizations are a safe <strong>and</strong> important way<br />

parents protect <strong>the</strong>ir children’s health. 2 The<br />

diseases childhood vaccines are meant to<br />

prevent are most likely to occur when children<br />

are very young <strong>and</strong> <strong>the</strong> risk <strong>of</strong> complications<br />

is highest. Without <strong>the</strong>se recommended<br />

vaccines, a child must contract a disease<br />

in order to become immune to <strong>the</strong> germ or<br />

virus that causes it, which can be extremely<br />

dangerous for younger children whose<br />

immune systems may not be strong enough to<br />

fight <strong>of</strong>f infections. It is because <strong>of</strong> childhood<br />

immunizations that <strong>the</strong> majority <strong>of</strong> many<br />

once-common diseases are now at <strong>the</strong>ir lowest<br />

levels in history. 12<br />

yEAR<br />

dtaP/dt<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 86.3 64.7 NA NA 80.2<br />

2009 85.4 59.9 NA NA 79.6<br />

2008 87.2 47.7 NA NA 78.6<br />

2007 86.9 42.4 NA NA 77.8<br />

2006 87.2 39.2 NA NA 79.3<br />

2005 86.1 62.8 NA NA 76.9<br />

2004 85.9 NA NA NA 75.6<br />

2003 84.3 NA NA NA 72.6<br />

2002 80.1 NA NA NA 69.4<br />

2001 81.5 NA NA NA 71.2<br />

2000 80.4 NA NA NA NA<br />

1999 78.7 NA NA NA NA


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

HEPatItIs b<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 90.2 58.7 NA NA 90.1<br />

2009 90.1 53.7 NA NA 89.1<br />

2008 91.8 38.7 NA NA 88.3<br />

2007 91.3 35.8 NA NA 87.2<br />

2006 91.0 31.1 NA NA 88.4<br />

2005 90.0 57.7 NA NA 85.4<br />

2004 87.2 NA NA NA 81.9<br />

2003 85.8 NA NA NA 79.5<br />

2002 81.9 NA NA NA 76.2<br />

2001 79.9 NA NA NA 75.4<br />

2000 77.9 NA NA NA NA<br />

1999 75.5 NA NA NA NA<br />

yEAR<br />

HIb<br />

97<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 94.3 75.5 NA NA 90.3<br />

2009 94.8 74.8 NA NA 93.7<br />

2008 94.8 66.3 NA NA 93.4<br />

2007 93.1 53.6 NA NA 87.7<br />

2006 93.4 49.2 NA NA 89.1<br />

2005 92.9 72.6 NA NA 86.8<br />

2004 87.7 NA NA NA 79.1<br />

2003 86.1 NA NA NA 77.7<br />

2002 83.2 NA NA NA 73.8<br />

2001 83.4 NA NA NA 74.9<br />

2000 82.7 NA NA NA NA<br />

1999 80.7 NA NA NA NA<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

yEAR<br />

98<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

IPv<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 91.8 71.1 NA NA 90.8<br />

2009 91.1 65.3 NA NA 89.0<br />

2008 92.1 52.6 NA NA 87.9<br />

2007 91.5 47.5 NA NA 87.3<br />

2006 91.4 43.0 NA NA 87.9<br />

2005 90.3 66.7 NA NA 84.7<br />

2004 90.1 NA NA NA 84.8<br />

2003 88.7 NA NA NA 83.1<br />

2002 86.0 NA NA NA 80.3<br />

2001 85.4 NA NA NA 79.1<br />

2000 84.2 NA NA NA NA<br />

1999 82.6 NA NA NA NA<br />

yEAR<br />

MMr<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 90.8 82.7 NA NA 90.6<br />

2009 90.6 80.5 NA NA 91.2<br />

2008 93.5 76.4 NA NA 90.9<br />

2007 93.5 76.3 NA NA 90.4<br />

2006 93.6 75.0 NA NA 91.1<br />

2005 93.0 86.2 NA NA 89.6<br />

2004 92.3 NA NA NA 88.1<br />

2003 91.5 NA NA NA 87.4<br />

2002 90.1 NA NA NA 84.4<br />

2001 89.4 NA NA NA 83.7<br />

2000 88.4 NA NA NA NA<br />

1999 87.0 NA NA NA NA<br />

PnEuMoCoCCal ConjugatE (PCv)<br />

yEAR<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 85.6 65.6 NA NA 79.4<br />

2009 84.6 60.1 NA NA 77.6<br />

2008 84.8 47.8 NA NA 75.6<br />

2007 83.6 42.3 NA NA 73.8<br />

2006 72.8 37.1 NA NA 68.3


yEAR<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

vZv<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 90.8 82.2 NA NA 90.0<br />

2009 90.6 79.7 NA NA 90.6<br />

2008 92.0 74.8 NA NA 89.7<br />

2007 91.9 74.4 NA NA 88.7<br />

2006 90.9 72.0 NA NA 88.9<br />

2005 89.9 82.0 NA NA 86.6<br />

2004 87.5 NA NA NA 84.7<br />

2003 85.7 NA NA NA 81.8<br />

2002 82.0 NA NA NA 76.4<br />

2001 75.3 NA NA NA 73.6<br />

2000 70.5 NA NA NA NA<br />

1999 63.8 NA NA NA NA<br />

CoMbInatIon 2 (dtaP, IPv, MMr,<br />

HIb, HEPatItIs b <strong>and</strong> vZv)<br />

yEAR<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 78.5 48.5 NA NA 74.1<br />

2009 77.7 43.1 NA NA 74.3<br />

2008 81.2 30.6 NA NA 73.7<br />

2007 80.8 30.1 NA NA 72.1<br />

2006 79.8 24.5 NA NA 73.4<br />

2005 77.7 54.8 NA NA 70.5<br />

2004 72.5 NA NA NA 63.1<br />

2003 69.8 NA NA NA 58.5<br />

2002 62.5 NA NA NA 53.2<br />

2001 57.6 NA NA NA 52.5<br />

2000 53.5 NA NA NA NA<br />

1999 47.5 NA NA NA NA<br />

CoMbInatIon 3 (dtaP, IPv, MMr,<br />

HIb, HEPatItIs b, vZv <strong>and</strong> PCv)<br />

yEAR<br />

99<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 75.1 46.1 NA NA 69.9<br />

2009 73.4 40.4 NA NA 69.4<br />

2008 76.6 28.5 NA NA 67.6<br />

2007 75.5 27.6 NA NA 65.4<br />

2006 65.7 22.4 NA NA 60.9<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

yEAR<br />

HEPatItIs a<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 35.4 28.6 NA NA 36.5<br />

yEAR<br />

rotavIrus<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 63.5 51.9 NA NA 57.6<br />

yEAR<br />

InfluEnZa<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 57.1 51.1 NA NA 43.6<br />

CoMbInatIon 10 (dtaP, IPv, MMr,<br />

HIb, HEPatItIs a, HEPatItIs b, vZv,<br />

PCv, rotavIrus <strong>and</strong> InfluEnZa)<br />

yEAR<br />

100<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 18.5 10.4 NA NA 15.2<br />

IMMunIZatIons for<br />

adolEsCEnts: MEnIngoCoCCal<br />

yEAR<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 55.2 43.8 NA NA 56.3<br />

yEAR<br />

IMMunIZatIons for<br />

adolEsCEnts: tdaP/td<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 69.5 55.3 NA NA 67.8<br />

yEAR<br />

IMMunIZatIons for<br />

adolEsCEnts: CoMbInatIon 1<br />

(MEnIngoCoCCal, tdaP/td)<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 51.6 39.4 NA NA 52.2


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

IMMUNIzATIoNS foR ADolESCENTS<br />

Adolescence is considered <strong>the</strong> healthiest period <strong>of</strong> one’s life. This is, in large part, thanks to<br />

childhood immunizations. Recommended adolescent immunizations can help maintain wellbeing<br />

<strong>and</strong> provide protection against vaccine-preventable diseases that extend into adulthood. 1<br />

The Immunizations for Adolescents measure assesses <strong>the</strong> percentage <strong>of</strong> adolescents who were<br />

vaccinated against four vaccine-preventable diseases: meningococcal meningitis, tetanus,<br />

diph<strong>the</strong>ria <strong>and</strong> pertussis (whooping cough).<br />

• Protection against some childhood<br />

vaccinated diseases can wear <strong>of</strong>f as<br />

children get older, requiring booster shots<br />

to maintain immunity. 2 for example,<br />

Tdap is <strong>the</strong> booster shot for <strong>the</strong> tetanus,<br />

diph<strong>the</strong>ria <strong>and</strong> pertussis vaccine received<br />

in childhood. 3<br />

• Prior to vaccines, <strong>the</strong> U.S. averaged<br />

approximately 500–600 cases <strong>of</strong> tetanus,<br />

100,000–200,000 cases <strong>of</strong> diph<strong>the</strong>ria <strong>and</strong><br />

175,000 cases <strong>of</strong> pertussis each year. 3<br />

Today, because <strong>of</strong> vaccines, <strong>the</strong> number <strong>of</strong><br />

tetanus cases has declined by 98 percent,<br />

diph<strong>the</strong>ria cases by 100 percent <strong>and</strong><br />

pertussis cases by 93 percent. 4<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Vaccine-preventable diseases not only<br />

have a direct impact on <strong>the</strong> infected <strong>and</strong><br />

<strong>the</strong>ir families, but also carry a high price<br />

tag for society as a whole. Direct medical<br />

costs <strong>and</strong> indirect societal costs exceed $10<br />

billion per year. 5<br />

101<br />

• Despite what is understood about<br />

<strong>the</strong> effectiveness <strong>of</strong> recommended<br />

immunizations in protecting against<br />

serious, sometimes fatal diseases,<br />

adolescent immunization rates are low. 5<br />

• Reasons frequently cited for low adolescent<br />

immunization rates include lack <strong>of</strong><br />

regular preventive care visits that provide<br />

an opportunity for vaccination; lack <strong>of</strong><br />

awareness <strong>of</strong> <strong>the</strong> need for immunizations;<br />

inaccurate risk assessments by parents <strong>and</strong><br />

adolescents about vaccine-preventable<br />

diseases; <strong>and</strong> financial barriers. 1,6,7<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> adolescents 13 years <strong>of</strong><br />

age who had one dose <strong>of</strong> meningococcal<br />

vaccine <strong>and</strong> one tetanus, diph<strong>the</strong>ria toxoids<br />

<strong>and</strong> acellular pertussis vaccine (Tdap) or one<br />

tetanus, diph<strong>the</strong>ria toxoids vaccine (Td) by<br />

<strong>the</strong>ir 13th birthday. The measure calculates a<br />

rate for each vaccine <strong>and</strong> one combination<br />

rate.<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

results<br />

Today, fewer infections are seen, thanks to<br />

vaccines, but that does not mean <strong>the</strong> viruses<br />

<strong>and</strong> bacteria that cause <strong>the</strong> infections do not<br />

still exist. Infectious diseases <strong>and</strong> death are still<br />

common among <strong>the</strong> unimmunized. Americans<br />

should continue to be immunized, to prevent<br />

future cases <strong>of</strong> illness. 5<br />

IMMunIZatIons for<br />

adolEsCEnts—MEnIngoCoCCal<br />

yEAR<br />

102<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 55.2 43.8 NA NA 56.3<br />

yEAR<br />

IMMunIZatIons for<br />

adolEsCEnts—tdaP/td<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 69.5 55.3 NA NA 67.8<br />

IMMunIZatIons for<br />

adolEsCEnts—CoMbInatIon 1<br />

(MEnIngoCoCCal, tdaP/td)<br />

yEAR<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 51.6 39.4 NA NA 52.2


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

WEIGHT ASSESSMENT AND CoUNSElING foR NUTRITIoN<br />

AND PHySICAl ACTIVITy foR CHIlDREN/ADolESCENTS<br />

The prevalence <strong>of</strong> overweight <strong>and</strong> obesity among young people in <strong>the</strong> U.S. has increased<br />

dramatically in <strong>the</strong> past few decades; it has more than doubled in children <strong>and</strong> tripled in<br />

adolescents. 1 Childhood obesity has become a health crisis that affects children’s healthy growth<br />

<strong>and</strong> development <strong>and</strong> increases <strong>the</strong>ir risks for serious health problems later in life. 2 The Weight<br />

Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity in Children/Adolescents measure<br />

evaluates <strong>the</strong> percentage <strong>of</strong> children <strong>and</strong> adolescents who are regularly screened for weight<br />

problems <strong>and</strong> have received counseling about healthy eating <strong>and</strong> physical activity.<br />

• An estimated 17 percent (12.5 million) <strong>of</strong><br />

all children <strong>and</strong> adolescents in <strong>the</strong> U.S. are<br />

overweight or obese. 2,3<br />

• overweight <strong>and</strong> obesity occurs when more<br />

calories are consumed than <strong>the</strong> body can<br />

burn during physical activity. 4<br />

• Childhood overweight <strong>and</strong> obesity is<br />

determined by measuring body mass index<br />

(bMI). A child with a bMI at or above <strong>the</strong><br />

85th percentile but lower than <strong>the</strong> 95th<br />

percentile for children <strong>of</strong> <strong>the</strong> same sex <strong>and</strong><br />

age is classified as overweight. A child<br />

with a bMI at or above <strong>the</strong> 95th percentile<br />

for children <strong>of</strong> <strong>the</strong> same age <strong>and</strong> sex is<br />

classified as obese. 5<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• According to a 2009 study, <strong>the</strong> cost <strong>of</strong><br />

hospitalizations related to childhood<br />

obesity rose from $125.9 million in 2001<br />

to $237.6 million in 2005. America spends<br />

as much as $147 billion annually on <strong>the</strong><br />

103<br />

direct <strong>and</strong> indirect costs <strong>of</strong> obesity—9.1<br />

percent <strong>of</strong> medical spending. 6,7<br />

• obese children are more likely to have high<br />

blood pressure <strong>and</strong> high cholesterol, risk<br />

factors for cardiovascular disease; increased<br />

risk <strong>of</strong> impaired glucose tolerance, insulin<br />

resistance <strong>and</strong> type 2 diabetes; breathing<br />

problems, including sleep apnea <strong>and</strong><br />

asthma; joint problems <strong>and</strong> musculoskeletal<br />

discomfort; fatty liver disease; gallstones;<br />

<strong>and</strong> gastroesophageal reflux. 7<br />

• obese children <strong>and</strong> adolescents are<br />

at greater risk <strong>of</strong> having social <strong>and</strong><br />

psychological problems, including<br />

discrimination <strong>and</strong> poor self-esteem, which<br />

can continue into adulthood. 7<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> children 3–17 years <strong>of</strong> age<br />

who had an outpatient visit with a primary<br />

care physician or an ob/GyN <strong>and</strong> who had<br />

evidence <strong>of</strong> bMI percentile documentation <strong>and</strong><br />

counseling for nutrition <strong>and</strong> physical activity<br />

M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S


M E A S U R E S T A R G E T E D A T C H I l D R E N A N D A D o l E S C E N T S<br />

during <strong>the</strong> measurement year. because bMI<br />

norms for youths vary with age <strong>and</strong> gender,<br />

this measure evaluates whe<strong>the</strong>r bMI percentile<br />

is assessed ra<strong>the</strong>r than an absolute bMI value.<br />

results<br />

If children are overweight or obese, obesity<br />

in adulthood is likely to be more severe. Adult<br />

obesity is associated with a number <strong>of</strong> serious<br />

health conditions, including heart disease,<br />

diabetes <strong>and</strong> some cancers. 8 It is important for<br />

parents <strong>and</strong> care providers to monitor a child’s<br />

weight status. Children need guidance on<br />

maintaining healthy eating <strong>and</strong> exercising habits.<br />

yEAR<br />

bMI PErCEntIlE (ovErall)<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 35.2 10.9 NA NA 37.3<br />

2009 35.4 17.4 NA NA 30.3<br />

yEAR<br />

104<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

CounsElIng for<br />

nutrItIon (ovErall)<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 37.4 11.8 NA NA 45.6<br />

2009 41.0 20.3 NA NA 41.9<br />

yEAR<br />

CounsElIng for PHysICal<br />

aCtIvIty (ovErall)<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 35.3 10.5 NA NA 36.7<br />

2009 36.5 17.6 NA NA 32.5<br />

frEQuEnCy <strong>of</strong> PrEnatal CarE<br />

vIsIts—


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

fAll RISk MANAGEMENT<br />

falls among older adults are a growing national concern because <strong>of</strong> <strong>the</strong> financial <strong>and</strong> societal<br />

costs associated with falls <strong>and</strong> <strong>the</strong> exp<strong>and</strong>ing body <strong>of</strong> evidence that falls can be reduced. 1,2 The Fall<br />

Risk Management measure assesses whe<strong>the</strong>r adults over 65 years <strong>of</strong> age who are at risk <strong>of</strong> falling<br />

discussed <strong>the</strong>ir problem with <strong>the</strong>ir practitioner <strong>and</strong> received an appropriate intervention, if necessary.<br />

• Among adults 65 <strong>and</strong> older, falls are <strong>the</strong><br />

leading cause <strong>of</strong> injury <strong>and</strong> death—each<br />

year one in every three adults experiences<br />

a fall. 2 falls are also <strong>the</strong> most common<br />

cause <strong>of</strong> nonfatal injuries <strong>and</strong> hospital<br />

admissions for trauma. 3 The chances <strong>of</strong><br />

falling <strong>and</strong> <strong>of</strong> being seriously injured in a<br />

fall increase with age. 2,3<br />

• Most falls result in fractures. 3,4<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Direct medical costs <strong>of</strong> falls total more than<br />

$19.3 billion—$349 million for fatal falls<br />

<strong>and</strong> $19 billion for nonfatal fall injuries. 6,7<br />

This translates to $26 billion in dollars. 7<br />

Hospitalizations <strong>and</strong> visits to <strong>the</strong> emergency<br />

department make up more than 80 percent<br />

<strong>of</strong> <strong>the</strong> costs. 7<br />

• In 2009, 2.2 million adults were treated<br />

in emergency departments for nonfatal<br />

fall injuries; more than 581,000 <strong>of</strong> <strong>the</strong>se<br />

patients were hospitalized. 5<br />

105<br />

• Many older adults who fall develop a fear<br />

<strong>of</strong> falling that may cause <strong>the</strong>m to limit<br />

<strong>the</strong>ir activities, leading to reduced mobility<br />

<strong>and</strong> loss <strong>of</strong> physical fitness, which in turn<br />

increases <strong>the</strong>ir actual risk <strong>of</strong> falling. 3<br />

HEdIs Measure definition<br />

The two components <strong>of</strong> this survey measure<br />

assess different facets <strong>of</strong> fall risk management.<br />

• The percentage <strong>of</strong> Medicare adults 75<br />

years <strong>of</strong> age <strong>and</strong> older, or adults 65–74<br />

years <strong>of</strong> age with balance or walking<br />

problems or a fall in <strong>the</strong> past 12 months,<br />

who were seen by a practitioner in <strong>the</strong><br />

past 12 months <strong>and</strong> who discussed falls<br />

or problems with balance or walking with<br />

<strong>the</strong>ir current practitioner.<br />

• The percentage <strong>of</strong> Medicare adults 65<br />

years <strong>of</strong> age <strong>and</strong> older who had a fall or<br />

had problems with balance or walking in<br />

<strong>the</strong> past 12 months, who were seen by a<br />

practitioner in <strong>the</strong> past 12 months <strong>and</strong> who<br />

received fall risk intervention from <strong>the</strong>ir<br />

current practitioner.<br />

M E A S U R E S T A R G E T E D A T o l D E R A D U l T S


M E A S U R E S T A R G E T E D A T o l D E R A D U l T S<br />

results<br />

A discussion between provider <strong>and</strong> patient<br />

regarding falls identifies risk factors related<br />

to vision, muscle strength <strong>and</strong> reflexes—<br />

important information for developing an<br />

appropriate intervention plan. 2<br />

yEAR<br />

106<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

dIsCussIon<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 32.8 31.1 NA<br />

2009 NA NA 31.1 30.3 NA<br />

2008 NA NA 31.3 30.7 NA<br />

2007 NA NA 29.4 28.1 NA<br />

2006 NA NA 27.5 26.9 NA<br />

yEAR<br />

ManagEMEnt<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 60.1 55.3 NA<br />

2009 NA NA 57.7 54.7 NA<br />

2008 NA NA 57.8 54.6 NA<br />

2007 NA NA 55.8 53.4 NA<br />

2006 NA NA 56.0 54.2 NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

MEDICATIoN IN THE ElDERly<br />

The elderly are twice as likely as younger adults to have an adverse drug reaction <strong>and</strong> are<br />

seven times more likely to be hospitalized as <strong>the</strong> result <strong>of</strong> an adverse drug event. 1 The Use<br />

<strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly measure assesses how <strong>of</strong>ten elderly individuals are<br />

exposed to potentially harmful drugs. 2-4 The Potentially Harmful Drug-Disease Interactions in <strong>the</strong><br />

Elderly measure assesses how <strong>of</strong>ten patients with a specific diagnosis are prescribed high-risk<br />

medications that are considered potentially dangerous.<br />

• In a 2002–2005 study <strong>of</strong> 384 American<br />

hospitals, 49 percent <strong>of</strong> patients received<br />

at least one potentially inappropriate<br />

medication; among patients 65 years <strong>of</strong><br />

age <strong>and</strong> older, 13 percent were given a<br />

potentially harmful medication. 5<br />

• In a study that measured potentially<br />

inappropriate medication use in <strong>the</strong> elderly,<br />

40 percent <strong>of</strong> <strong>the</strong> population filled at least<br />

one prescription for such medications <strong>and</strong><br />

13 percent filled two or more. 6<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Exposure to high-risk medications increases<br />

health care costs, including medication<br />

costs, an estimated $7.2 billion annually. 7<br />

• The use <strong>of</strong> high-risk medications increases<br />

<strong>the</strong> risk for hospitalization, death <strong>and</strong><br />

adverse health outcomes. 6,8<br />

• Mobility problems from dementia are<br />

exacerbated by <strong>the</strong> use <strong>of</strong> high-risk<br />

medications, <strong>and</strong> patients exposed to <strong>the</strong>se<br />

107<br />

medications are more likely to be admitted<br />

to long-term care facilities. 9<br />

• Prescribing harmful drugs to <strong>the</strong> elderly<br />

population puts <strong>the</strong>m at risk for fur<strong>the</strong>r<br />

complications, which include falls,<br />

fractures <strong>and</strong> longer duration <strong>of</strong> illnesses.<br />

Data from a multidisciplinary falls clinic<br />

<strong>and</strong> a cooperative adverse drug event<br />

surveillance project show that patients<br />

on five or more medications are twice as<br />

likely to have impaired balance <strong>and</strong> are<br />

at higher risk for fur<strong>the</strong>r inappropriate<br />

medication use. 1,10<br />

HEdIs Measure definition<br />

The measures assess two different dimensions<br />

<strong>of</strong> medication management in <strong>the</strong> Medicare<br />

population 65 years <strong>of</strong> age <strong>and</strong> older.<br />

Potentially Harmful Drug-Disease<br />

Interactions in <strong>the</strong> Elderly<br />

The percentage <strong>of</strong> adults 65 <strong>and</strong> older who<br />

have evidence <strong>of</strong> an underlying disease,<br />

condition or health concern <strong>and</strong> who were<br />

dispensed an ambulatory prescription for a<br />

M E A S U R E S T A R G E T E D A T o l D E R A D U l T S


M E A S U R E S T A R G E T E D A T o l D E R A D U l T S<br />

contraindicated medication, concurrent with or<br />

after <strong>the</strong> diagnosis.<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly<br />

The percentage <strong>of</strong> adults 65 <strong>and</strong> older who<br />

received at least one high-risk medication<br />

<strong>and</strong> <strong>the</strong> percentage <strong>of</strong> adults 65 <strong>and</strong> older<br />

who received at least two different high-risk<br />

medications. A combined rate is reported.<br />

results<br />

Currently, close to a quarter <strong>of</strong> all Medicare<br />

patients are prescribed one potentially harmful<br />

medication. Although some drugs are harmful<br />

regardless <strong>of</strong> a patient’s current health, some<br />

drugs prescribed for patients with a specific<br />

disease are associated with poor physical<br />

<strong>and</strong> cognitive performance, including balance<br />

disorders <strong>and</strong> an increased likelihood <strong>of</strong> falls. 9,11<br />

yEAR<br />

108<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

PotEntIally HarMful drugdIsEasE<br />

IntEraCtIons In tHE<br />

EldErly: ovErall ratE*<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 23.3 21.8 NA<br />

2009 NA NA 23.2 21.8 NA<br />

2008 NA NA 23.0 21.7 NA<br />

2007 NA NA 21.8 21.5 NA<br />

yEAR<br />

usE <strong>of</strong> HIgH-rIsk MEdICatIons<br />

In tHE EldErly: at lEast<br />

onE MEdICatIon*<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 22.1 21.9 NA<br />

2009 NA NA 23.0 22.3 NA<br />

2008 NA NA 23.4 22.1 NA<br />

2007 NA NA 23.2 22.1 NA<br />

2006 NA NA 23.1 23.1 NA<br />

yEAR<br />

usE <strong>of</strong> HIgH-rIsk MEdICatIons<br />

In tHE EldErly: at lEast<br />

tWo MEdICatIons*<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 5.1 5.1 NA<br />

2009 NA NA 5.7 5.3 NA<br />

2008 NA NA 6.0 5.4 NA<br />

2007 NA NA 6.0 5.3 NA<br />

2006 NA NA 5.9 6.5 NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

MANAGEMENT <strong>of</strong> URINARy INCoNTINENCE<br />

IN olDER ADUlTS<br />

Urinary incontinence (UI) is involuntary loss <strong>of</strong> urine. 1,2 It is largely underestimated because<br />

fewer than half <strong>of</strong> affected patients report it to <strong>the</strong>ir providers, partly because it is believed to<br />

be an inevitable part <strong>of</strong> aging. 3 In <strong>the</strong> older population, UI is <strong>the</strong> result <strong>of</strong> several factors that<br />

include comorbid conditions, multiple medications <strong>and</strong> functional <strong>and</strong> cognitive impairment. 1 The<br />

Management <strong>of</strong> Urinary Incontinence in Older Adults measure assesses whe<strong>the</strong>r adults over <strong>the</strong><br />

age <strong>of</strong> 65 were asked about UI symptoms <strong>and</strong> received appropriate treatment.<br />

• UI prevalence increases with age <strong>and</strong> is<br />

a major cause <strong>of</strong> admittance to nursing<br />

homes. It is more common in older<br />

women—its prevalence in older men is<br />

approximately one-third that <strong>of</strong> women. 1<br />

• Many studies report that females with UI<br />

seek help in very low percentages (ranging<br />

from 14 percent–38 percent). Ano<strong>the</strong>r<br />

study found that 74 percent <strong>of</strong> women with<br />

UI symptoms waited for one year before<br />

seeking help, <strong>and</strong> 46 percent waited for<br />

three years. 4,5<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• The estimated total annual cost <strong>of</strong> UI<br />

is about $32 billion, or approximately<br />

$3,565 per individual with UI. The largest<br />

components are management costs <strong>and</strong><br />

expenses associated with nursing home<br />

admissions attributable to UI. 7<br />

• Given a rapidly aging population, <strong>the</strong><br />

incidence <strong>and</strong> prevalence <strong>of</strong> UI continues to<br />

be a major problem. Among homebound<br />

elderly, <strong>the</strong> incidence <strong>of</strong> UI is 15 percent–<br />

33 percent. 5,6<br />

• UI fur<strong>the</strong>r puts older adults at risk for falls,<br />

fractions <strong>and</strong> functional impairment. It is<br />

associated with poor self-rated health,<br />

impaired quality <strong>of</strong> life, social isolation,<br />

depressive symptoms <strong>and</strong> dependence on<br />

caregivers. 8<br />

109<br />

HEdIs Measure definition<br />

This patient survey measure assesses <strong>the</strong><br />

diagnosis <strong>and</strong> management <strong>of</strong> UI in older adults.<br />

• Discussing UI. The percentage <strong>of</strong> Medicare<br />

adults 65 <strong>and</strong> older who reported having a<br />

problem with urine leakage in <strong>the</strong> past six<br />

months <strong>and</strong> discussed <strong>the</strong>ir problem with<br />

<strong>the</strong>ir current practitioner.<br />

• Receiving UI Treatment. The percentage<br />

<strong>of</strong> Medicare adults 65 <strong>and</strong> older who<br />

reported having a urine leakage problem<br />

in <strong>the</strong> past six months <strong>and</strong> received<br />

treatment for <strong>the</strong>ir current urine leakage<br />

problem.<br />

M E A S U R E S T A R G E T E D A T o l D E R A D U l T S


M E A S U R E S T A R G E T E D A T o l D E R A D U l T S<br />

results<br />

Routinely asking older patients about <strong>the</strong>ir<br />

symptoms, combined with appropriate<br />

treatment, is associated with minimal adverse<br />

outcomes, satisfactory results for many<br />

patients <strong>and</strong> possible prevention <strong>of</strong> <strong>the</strong> need<br />

for medical or surgical intervention. 9<br />

yEAR<br />

110<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

dIsCussIon<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 58.2 57.9 NA<br />

2009 NA NA 57.1 58.2 NA<br />

2008 NA NA 57.3 58.0 NA<br />

2007 NA NA 57.8 57.7 NA<br />

2006 NA NA 56.8 57.3 NA<br />

2005 NA NA 56.0 55.8 NA<br />

yEAR<br />

trEatMEnt<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 36.0 36.3 NA<br />

2009 NA NA 35.5 37.4 NA<br />

2008 NA NA 35.4 36.3 NA<br />

2007 NA NA 35.4 35.6 NA<br />

2006 NA NA 35.3 36.8 NA<br />

2005 NA NA 33.3 34.8 NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

PHySICAl ACTIVITy IN olDER ADUlTS<br />

Physical activity in older adults is an important part <strong>of</strong> managing chronic diseases like diabetes,<br />

obesity <strong>and</strong> high blood pressure. Physical activity helps older adults maintain <strong>the</strong>ir ability to live<br />

independently <strong>and</strong> reduces <strong>the</strong> risk <strong>of</strong> falling <strong>and</strong> fracturing bones. 1,2 The Physical Activity in<br />

Older Adults measure assesses whe<strong>the</strong>r older adults have ei<strong>the</strong>r discussed or received advice<br />

from <strong>the</strong>ir physician about exercise.<br />

• lack <strong>of</strong> physical activity is one <strong>of</strong> <strong>the</strong> major<br />

causes <strong>of</strong> obesity. About 14 percent <strong>of</strong><br />

all deaths in <strong>the</strong> U.S. can be attributed to<br />

insufficient physical activity <strong>and</strong> inadequate<br />

nutrition. 3<br />

• Physical inactivity increases with age.<br />

Data from <strong>the</strong> Centers for Disease Control<br />

<strong>and</strong> Prevention reveal that 28 percent–34<br />

percent <strong>of</strong> adults 65–74 are inactive <strong>and</strong><br />

engage in little or no physical activity, <strong>and</strong><br />

35 percent–44 percent <strong>of</strong> adults 75 or<br />

older are not as active as <strong>the</strong>y should be. 4<br />

• Regular exercise <strong>and</strong> increased aerobic<br />

fitness are associated with a decrease in<br />

all-cause mortality <strong>and</strong> morbidity in older<br />

adults. 1 Research proves that older adults<br />

have more to gain from physical activity<br />

than younger adults. 1,2<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• The medical costs for inactive adults are<br />

substantially higher than for active adults,<br />

<strong>and</strong> <strong>the</strong> cost <strong>of</strong> inactivity increases with<br />

age. If inactive older adults increased <strong>the</strong>ir<br />

physical activity to 90 minutes per week,<br />

$2,200 per person could be saved in<br />

health care costs every year. 3,5<br />

• The number <strong>of</strong> older Americans is<br />

expected to double in <strong>the</strong> next two<br />

decades. Approximately 95 percent <strong>of</strong><br />

health care spending for older adults is<br />

attributed to chronic conditions. lack <strong>of</strong><br />

physical activity among older adults is<br />

an independent risk factor for a range <strong>of</strong><br />

chronic diseases. 3,5 80 percent <strong>of</strong> older<br />

adults have at least one chronic condition;<br />

50 percent have at least two.<br />

• Regular physical activity for older adults<br />

has beneficial health effects on a variety <strong>of</strong><br />

health outcomes, including decreased risk<br />

<strong>of</strong> early death, heart disease <strong>and</strong> diabetes;<br />

weight loss; fall prevention; reduced<br />

depression; <strong>and</strong> improved cognitive<br />

function. 6,7<br />

111<br />

HEdIs Measure definition<br />

This survey-based measure assesses <strong>the</strong><br />

percentage <strong>of</strong> Medicare adults age 65 <strong>and</strong><br />

older who had a doctor’s visit in <strong>the</strong> past 12<br />

months <strong>and</strong> who:<br />

M E A S U R E S T A R G E T E D A T o l D E R A D U l T S


M E A S U R E S T A R G E T E D A T o l D E R A D U l T S<br />

• Spoke with a with a doctor or o<strong>the</strong>r health<br />

provider about <strong>the</strong>ir level <strong>of</strong> exercise or<br />

physical activity<br />

• Received advice to start, increase or<br />

maintain <strong>the</strong>ir level <strong>of</strong> exercise or physical<br />

activity.<br />

results<br />

Strong evidence suggests that physical activity<br />

reduces <strong>the</strong> risk <strong>of</strong> developing chronic diseases<br />

<strong>and</strong> should be a high priority for preventing<br />

<strong>and</strong> treating disease <strong>and</strong> disability in older<br />

adults. 7<br />

112<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

yEAR<br />

advICE<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 47.9 47.6 NA<br />

2009 NA NA 46.9 47.8 NA<br />

2008 NA NA 47.0 47.1 NA<br />

2007 NA NA 46.1 46.7 NA<br />

2006 NA NA 45.2 48.8 NA<br />

2005 NA NA 43.7 46.3 NA<br />

yEAR<br />

dIsCussIon<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 52.3 53.9 NA<br />

2009 NA NA 51.3 54.4 NA<br />

2008 NA NA 51.5 54.0 NA<br />

2007 NA NA 51.1 53.0 NA<br />

2006 NA NA 50.3 53.6 NA<br />

2005 NA NA 50.6 53.7 NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

GlAUCoMA SCREENING IN olDER ADUlTS<br />

Glaucoma represents a family <strong>of</strong> diseases commonly associated with optic nerve damage <strong>and</strong><br />

changes in <strong>the</strong> visual field (narrowing <strong>of</strong> <strong>the</strong> eyes’ usual scope <strong>of</strong> vision). Disease development<br />

is gradual, starting with “blind spots” <strong>and</strong> progressing up to complete blindness, with little or no<br />

warning signs or symptoms. 1 The Glaucoma Screening in Older Adults measure assesses whe<strong>the</strong>r<br />

older adults received an eye exam to check for this condition.<br />

• Elevated eye pressure <strong>and</strong> older age are<br />

key risk factors. With an aging population,<br />

<strong>the</strong> prevalence <strong>and</strong> incidence <strong>of</strong> glaucoma<br />

continue to rise. 2,3<br />

• Untreated glaucoma is <strong>the</strong> second leading<br />

cause <strong>of</strong> irreversible blindness in <strong>the</strong> U.S. 1,2<br />

• Among African Americans, glaucoma is<br />

<strong>the</strong> leading cause <strong>of</strong> blindness—African<br />

Americans are six to eight times more likely<br />

than Caucasians to have glaucoma. 3,4<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• Managed care organizations spend<br />

approximately $1 billion ($2,000 per<br />

patient) annually to treat glaucoma.<br />

Treatment costs increase significantly as <strong>the</strong><br />

disease progresses. 6<br />

• At least 4.2 million people in <strong>the</strong> United<br />

States have glaucoma, but only half <strong>of</strong><br />

<strong>the</strong>m know that <strong>the</strong>y have it. Ano<strong>the</strong>r 5–10<br />

million have elevated eye pressure <strong>and</strong> are<br />

at risk <strong>of</strong> developing glaucoma. 5<br />

113<br />

• Glaucoma-associated visual impairment<br />

affects <strong>the</strong> quality <strong>of</strong> life <strong>and</strong> <strong>the</strong> ability to<br />

function independently, hampering basic<br />

daily activities. Vision loss among <strong>the</strong> elderly<br />

has been shown to result in social isolation,<br />

family stress <strong>and</strong> a greater tendency to<br />

experience o<strong>the</strong>r health conditions. 2,3<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> Medicare adults 65<br />

years <strong>and</strong> older without a prior diagnosis<br />

<strong>of</strong> glaucoma or glaucoma suspect, who<br />

received a glaucoma eye exam by an eyecare<br />

pr<strong>of</strong>essional for <strong>the</strong> early identification <strong>of</strong><br />

glaucomatous conditions.<br />

M E A S U R E S T A R G E T E D A T o l D E R A D U l T S


M E A S U R E S T A R G E T E D A T o l D E R A D U l T S<br />

114<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

results<br />

Glaucoma’s asymptomatic progression points<br />

to <strong>the</strong> importance <strong>of</strong> early detection <strong>and</strong><br />

treatment, which can prevent, slow or stop<br />

vision loss. 6<br />

yEAR<br />

sCrEEnIng ratE<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 63.8 65.1 NA<br />

2009 NA NA 62.3 63.7 NA<br />

2008 NA NA 59.8 62.2 NA<br />

2007 NA NA 59.5 62.6 NA<br />

2006 NA NA 62.2 63.3 NA<br />

2005 NA NA 61.5 64.5 NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

oSTEoPoRoSIS TESTING IN olDER WoMEN<br />

osteoporosis is a disease characterized by low bone mass <strong>and</strong> structural deterioration <strong>of</strong> bone<br />

tissue, leading to bone fragility <strong>and</strong> an increased susceptibility to fractures. It mostly affects<br />

elderly women. Disease development is gradual, progressing without symptoms until a lowenergy<br />

fall or minor activity fractures a bone. 1 The Osteoporosis Testing in Older Women<br />

measure assesses whe<strong>the</strong>r women over <strong>the</strong> age <strong>of</strong> 65 reported receiving a bone density test.<br />

• According to <strong>the</strong> National osteoporosis<br />

foundation, about 12 million Americans<br />

have osteoporosis <strong>and</strong> approximately 52.4<br />

million over <strong>the</strong> age <strong>of</strong> 50 have low bone<br />

density—which puts <strong>the</strong>m at increased<br />

risk for developing <strong>the</strong> disease. About 80<br />

percent <strong>of</strong> those affected are women. 2<br />

• one in two women <strong>and</strong> one in four men<br />

over 50 will have an osteoporosis-related<br />

fracture in <strong>the</strong>ir lifetime, most commonly <strong>of</strong><br />

<strong>the</strong> hip, wrist or spine. 1,2<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• In 2008, <strong>the</strong> annual direct medical costs<br />

<strong>of</strong> osteoporosis <strong>and</strong> fractures ranged from<br />

$17 billion to $22 billion. by 2025, annual<br />

fractures <strong>and</strong> costs are expected to rise by<br />

almost 50 percent. The most rapid growth<br />

is estimated for people 65–74 years <strong>of</strong><br />

age. 3,4<br />

115<br />

• osteoporosis is responsible for more than<br />

1.5 million fractures each year, <strong>and</strong> results<br />

in 500,000 hospital admissions, 800,000<br />

emergency room visits, 2.6 million<br />

physician visits <strong>and</strong> 180,000 nursing home<br />

admissions annually. 4,5<br />

• Despite being a covered service under<br />

Medicare with no out-<strong>of</strong>-pocket costs, bone<br />

density tests are underutilized by elderly,<br />

at-risk populations. In 2005 only an<br />

estimated 30 percent <strong>of</strong> Medicare women<br />

enrollees received a bone density test. 5<br />

HEdIs Measure definition<br />

This survey based measure assesses <strong>the</strong><br />

percentage <strong>of</strong> Medicare women 65 years<br />

<strong>of</strong> age <strong>and</strong> older who report ever having<br />

received a bone density test to check for<br />

osteoporosis.<br />

M E A S U R E S T A R G E T E D A T o l D E R A D U l T S


M E A S U R E S T A R G E T E D A T o l D E R A D U l T S<br />

results<br />

116<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

bone density screenings are an important<br />

strategy for reducing <strong>the</strong> rate <strong>of</strong> fractures<br />

among women over <strong>the</strong> age <strong>of</strong> 65. 6,7<br />

yEAR<br />

tEstIng<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 68.5 73.4 NA<br />

2009 NA NA 68.0 72.8 NA<br />

2008 NA NA 66.7 72.0 NA<br />

2007 NA NA 65.7 70.3 NA<br />

2006 NA NA 64.4 71.3 NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • H E D I S M E A S U R E S o f C A R E<br />

oSTEoPoRoSIS MANAGEMENT IN<br />

WoMEN WHo HAD A fRACTURE<br />

osteoporosis is a weakening <strong>of</strong> <strong>the</strong> bones that puts patients at risk for bone fracture. 1 fragility<br />

fractures, like those caused by osteoporosis, are associated with chronic pain, skeletal deformities,<br />

loss <strong>of</strong> independence <strong>and</strong> increased mortality. 6 by 2012, over 12 million Americans over <strong>the</strong> age<br />

<strong>of</strong> 50 are expected to have osteoporosis. 4 The Osteoporosis Management in Women Who Had a<br />

Fracture measure assesses whe<strong>the</strong>r women suffering from bone fractures received a bone density<br />

test to determine if bone fragility was <strong>the</strong> underlying cause <strong>of</strong> <strong>the</strong> fracture.<br />

• Women are more likely to develop<br />

osteoporosis than men. Women lose bone<br />

density with age, 2 <strong>and</strong> a woman over<br />

50 has a 50 percent chance <strong>of</strong> having<br />

an osteoporosis-related fracture in her<br />

lifetime. 3 once a woman has a fracture,<br />

she is at four times greater risk for ano<strong>the</strong>r<br />

fracture. 3<br />

• A bone mineral density test is <strong>the</strong> most<br />

effective method for determining bone<br />

health, <strong>and</strong> can identify osteoporosis,<br />

determine risk for fractures <strong>and</strong> assess<br />

response to osteoporosis treatment. 3<br />

The U.S. Preventive Services Task force<br />

recommends that osteoporosis screening<br />

begin at 65 for most women. Women at<br />

increased risk for osteoporotic fractures<br />

should begin screening at age 60. 4<br />

<strong>the</strong> Case for <strong>Improvement</strong><br />

• More than 300,000 hip fractures occur<br />

each year due to osteoporosis. <strong>of</strong> <strong>the</strong>se,<br />

42,000 people die as a result. 7<br />

117<br />

• osteoporosis is underdiagnosed <strong>and</strong><br />

undertreated. only one-third <strong>of</strong> patients<br />

with fragility fractures receive appropriate<br />

testing <strong>and</strong> treatment for osteoporosis. 6<br />

osteoporosis is asymptomatic in <strong>the</strong> early<br />

stages <strong>of</strong> <strong>the</strong> disease, so most people are<br />

not aware that <strong>the</strong>y have <strong>the</strong> condition. 6<br />

A fracture may be an indicator <strong>of</strong> <strong>the</strong><br />

presence <strong>of</strong> osteoporosis. 3,5<br />

• osteoporosis treatment costs $17 billion<br />

annually. 7 Direct medical costs are<br />

predicted to increase to $25.3 billion<br />

annually by 2025. 8 Each year, fragility<br />

fractures are estimated to result in 500,000<br />

hospitalizations, 800,000 emergency<br />

department visits, 2.6 million doctors’ visits<br />

<strong>and</strong> 180,000 nursing home placements. 9<br />

M E A S U R E S T A R G E T E D A T o l D E R A D U l T S


M E A S U R E S T A R G E T E D A T o l D E R A D U l T S<br />

118<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs Measure definition<br />

The percentage <strong>of</strong> women 67 years <strong>of</strong> age<br />

<strong>and</strong> older who suffered a fracture <strong>and</strong> who<br />

had ei<strong>the</strong>r a bone mineral density test or<br />

prescription for a drug to treat or prevent<br />

osteoporosis in <strong>the</strong> six months after <strong>the</strong><br />

fracture.<br />

results<br />

osteoporosis may lead to painful bone<br />

fractures that limit mobility <strong>and</strong> put patients<br />

at risk for o<strong>the</strong>r adverse health conditions.<br />

osteoporosis <strong>the</strong>rapy has <strong>the</strong> potential to<br />

reduce <strong>the</strong> risk <strong>of</strong> fracture by nearly 50<br />

percent. 10 Screening <strong>and</strong> treatment can<br />

significantly improve health outcomes by<br />

preventing fractures.<br />

yEAR<br />

trEatMEnt ratE<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 NA NA 20.7 18.5 NA<br />

2009 NA NA 20.7 18.1 NA<br />

2008 NA NA 20.7 18.0 NA<br />

2007 NA NA 20.4 17.8 NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • C A H P S<br />

CoNSUMER AND PATIENT ENGAGEMENT AND ExPERIENCE<br />

The Consumer Assessment <strong>of</strong> Healthcare Providers <strong>and</strong> Systems (CAHPS) program is a public/<br />

private initiative to develop st<strong>and</strong>ardized surveys <strong>of</strong> patients’ experiences with ambulatory <strong>and</strong><br />

facility-level care in commercial <strong>and</strong> Medicaid plans. Surveys were developed with <strong>the</strong> Agency<br />

for Healthcare Research <strong>and</strong> <strong>Quality</strong> (AHRQ). CAHPS data address areas such as patient ease<br />

<strong>of</strong> obtaining information from a health plan; timeliness <strong>of</strong> service; <strong>and</strong> speed <strong>and</strong> accuracy <strong>of</strong><br />

claim processing.<br />

CAHPS results <strong>of</strong>fer an indication <strong>of</strong> how well health care organizations meet member expectations.<br />

rating <strong>of</strong> Health Plan<br />

Respondents were asked to give <strong>the</strong>ir health plan an overall rating, with 0 equaling “worst health<br />

plan possible” <strong>and</strong> 10 equaling “best health plan possible.” The tables below represent <strong>the</strong><br />

percentage <strong>of</strong> respondents who rated <strong>the</strong>ir health plans ei<strong>the</strong>r 9 or 10.<br />

yEAR<br />

ratIng <strong>of</strong> HEaltH Plan:<br />

ratIng <strong>of</strong> 9 or 10<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 40.3 33.7 NA NA 54.7<br />

2009 38.3 32.4 59.0 52.2 52.5<br />

2008 39.1 34.2 60.7 53.4 55.3<br />

2007 37.1 31.8 61.1 52.9 53.3<br />

2006 38.0 35.9 61.7 53.9 52.4<br />

2005 39.8 43.1 61.3 54.2 54.0<br />

2004 38.4 NA 57.5 NA 52.3<br />

2003 36.7 NA 53.3 NA 51.7<br />

2002 36.0 NA 60.5 NA 51.5<br />

2001 37.4 NA 62.4 NA 69.1<br />

2000 34.7 NA NA NA NA<br />

1999 32.6 NA NA NA NA<br />

119<br />

C o N S U M E R A N D P A T I E N T E N G A G E M E N T A N D E x P E R I E N C E


C o N S U M E R A N D P A T I E N T E N G A G E M E N T A N D E x P E R I E N C E<br />

120<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

rating <strong>of</strong> Health Care<br />

Respondents were asked to give <strong>the</strong>ir health care an overall rating, with 0 equaling “worst health<br />

plan possible” <strong>and</strong> 10 equaling “best health plan possible.” The tables below represent <strong>the</strong><br />

percentage <strong>of</strong> respondents who rated <strong>the</strong>ir health plans ei<strong>the</strong>r 9 or 10.<br />

yEAR<br />

ratIng <strong>of</strong> HEaltH CarE:<br />

ratIng <strong>of</strong> 9 or 10<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 50.7 48.1 NA NA 48.8<br />

2009 48.7 46.6 56.2 57.4 47.0<br />

2008 48.7 46.7 56.2 56.4 48.1<br />

2007 47.2 45.8 55.9 55.0 46.8<br />

2006 47.0 48.3 62.0 62.7 46.2<br />

2005 53.4 55.6 69.1 72.2 54.1<br />

2004 52.1 NA 68.7 NA 53.5<br />

2003 51.5 NA 67.5 NA 52.8<br />

2002 49.4 NA 67.8 NA 53.0<br />

2001 47.5 NA 68.8 NA 71.3<br />

2000 45.6 NA NA NA NA<br />

1999 44.1 NA NA NA NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • C A H P S<br />

getting needed Care<br />

The Getting Needed Care composite measures members’ perception <strong>of</strong> how easy it was to get<br />

care from <strong>the</strong>ir doctor <strong>and</strong> from specialists in <strong>the</strong> last 12 months. Members were asked how <strong>of</strong>ten<br />

<strong>the</strong>y were able to:<br />

• See a specialist when <strong>the</strong>y needed one<br />

• obtain <strong>the</strong> care, tests or treatment <strong>the</strong>y believed were necessary.<br />

Responses were “Never,” “Sometimes,” “Usually” <strong>and</strong> “Always.” The rates displayed represent<br />

<strong>the</strong> average percentage <strong>of</strong> health plan members nationwide who responded “Always.”<br />

yEAR<br />

gEttIng nEEdEd CarE: alWays<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 53.9 53.9 NA NA 50.1<br />

2009 52.9 52.7 63.6 64.4 48.5<br />

2008 52.6 52.6 62.4 61.9 49.4<br />

2007 50.4 49.5 62.0 63.4 48.7<br />

2006 50.1 51.2 62.6 64.6 46.7<br />

2005 80.1 84.7 95.9 97.0 73.4<br />

2004 79.3 NA 95.7 NA 73.8<br />

2003 78.4 NA 94.9 NA 72.1<br />

2002 76.9 NA 94.8 NA 72.3<br />

2001 76.7 NA 94.9 NA 75.4<br />

2000 75.4 NA NA NA NA<br />

121<br />

C o N S U M E R A N D P A T I E N T E N G A G E M E N T A N D E x P E R I E N C E


C o N S U M E R A N D P A T I E N T E N G A G E M E N T A N D E x P E R I E N C E<br />

122<br />

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getting Care Quickly<br />

The Getting Care Quickly composite measures members’ perception <strong>of</strong> how quickly <strong>the</strong>y received<br />

care when it was sought in <strong>the</strong> last 12 months. Members were asked how <strong>of</strong>ten <strong>the</strong>y were able to:<br />

• Receive needed care right away<br />

• Get an appointment for health care at a doctor’s <strong>of</strong>fice or clinic as soon as <strong>the</strong>y thought care<br />

was needed.<br />

Responses were “Never,” “Sometimes,” “Usually” <strong>and</strong> “Always.” The rates displayed represent<br />

<strong>the</strong> average percentage <strong>of</strong> health plan members nationwide who responded “Always.”<br />

yEAR<br />

gEttIng CarE QuICkly: alWays<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 58.2 57.7 NA NA 56.2<br />

2009 57.8 57.4 64.0 64.7 54.7<br />

2008 57.6 56.2 63.7 64.6 55.7<br />

2007 56.0 55.6 63.5 65.0 55.6<br />

2006 56.8 57.5 65.4 67.0 53.4<br />

2005 46.5 46.2 58.7 60.2 44.5<br />

2004 45.5 NA 58.5 NA 44.2<br />

2003 45.0 NA 57.2 NA 42.6<br />

2002 43.9 NA 55.8 NA 44.1<br />

2001 44.8 NA 60.0 NA 46.5<br />

2000 45.8 NA NA NA NA


How Well doctors Communicate<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • C A H P S<br />

The How Well Doctors Communicate composite measures members’ perception <strong>of</strong> <strong>the</strong> quality <strong>of</strong><br />

communication with <strong>the</strong>ir personal doctor in <strong>the</strong> last 12 months. Members were asked how <strong>of</strong>ten<br />

<strong>the</strong>ir doctor:<br />

• Explained things in a way that was easy to underst<strong>and</strong><br />

• listened carefully to <strong>the</strong>m<br />

• Showed respect for what <strong>the</strong>y had to say<br />

• Spent enough time with <strong>the</strong>m.<br />

Responses were “Never,” “Sometimes,” “Usually” <strong>and</strong> “Always.” The rates displayed represent<br />

<strong>the</strong> average percentage <strong>of</strong> health plan members nationwide who responded “Always.”<br />

yEAR<br />

HoW WEll doCtors<br />

CoMMunICatE: alWays<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 73.5 73.5 NA NA 69.1<br />

2009 72.0 71.7 74.7 74.8 67.5<br />

2008 71.1 70.7 75.3 74.8 68.0<br />

2007 70.2 70.1 74.6 75.7 67.7<br />

2006 70.3 71.5 75.0 76.2 66.7<br />

2005 61.3 58.8 69.5 71.6 61.5<br />

2004 60.2 NA 69.0 NA 60.8<br />

2003 59.4 NA 68.6 NA 59.1<br />

2002 57.7 NA 68.0 NA 59.9<br />

2001 57.1 NA 68.5 NA 60.4<br />

2000 58.4 NA NA NA NA<br />

123<br />

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C o N S U M E R A N D P A T I E N T E N G A G E M E N T A N D E x P E R I E N C E<br />

124<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

rating <strong>of</strong> Personal doctor<br />

Respondents were asked to give <strong>the</strong>ir personal doctor an overall rating, with 0 equaling “worst<br />

personal doctor possible” <strong>and</strong> 10 equaling “best personal doctor possible.” The tables below<br />

represent <strong>the</strong> percentage <strong>of</strong> respondents who rated <strong>the</strong>ir personal doctor ei<strong>the</strong>r 9 or 10.<br />

yEAR<br />

ratIng <strong>of</strong> PErsonal doCtor:<br />

ratIng <strong>of</strong> 9 or 10<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 65.0 62.8 NA NA 61.1<br />

2009 63.2 61.2 73.3 73.9 60.1<br />

2008 63.3 61.9 73.6 73.3 61.1<br />

2007 62.1 61.7 73.6 73.8 60.4<br />

2006 62.3 63.2 73.8 75.0 60.3<br />

2005 52.8 54.0 67.8 70.9 59.2<br />

2004 51.7 NA 67.5 NA 58.4<br />

2003 51.9 NA 66.4 NA 58.9<br />

2002 49.7 NA 65.2 NA 58.0<br />

2001 50.5 NA 65.8 NA 76.5<br />

2000 48.3 NA NA NA NA<br />

1999 47.0 NA NA NA NA


ating <strong>of</strong> specialist<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • C A H P S<br />

Respondents were asked to give <strong>the</strong>ir specialist an overall rating, with 0 equaling “worst<br />

specialist possible” <strong>and</strong> 10 equaling “best specialist possible.” The tables below represent <strong>the</strong><br />

percentage <strong>of</strong> respondents who rated <strong>the</strong>ir specialist ei<strong>the</strong>r 9 or 10.<br />

yEAR<br />

ratIng <strong>of</strong> sPECIalIst:<br />

ratIng <strong>of</strong> 9 or 10<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 64.1 61.9 NA NA 61.3<br />

2009 61.8 60.4 69.3 70.8 60.5<br />

2008 62.3 60.5 68.9 69.9 60.7<br />

2007 61.7 60.5 69.2 70.2 60.8<br />

2006 60.7 62.4 70.7 73.0 59.3<br />

2005 57.2 59.1 67.7 71.7 60.2<br />

2004 56.2 NA 67.5 NA 59.2<br />

2003 55.8 NA 67.7 NA 58.3<br />

2002 54.4 NA 67.7 NA 57.8<br />

2001 54.6 NA 68.5 NA 75.3<br />

2000 53.7 NA NA NA NA<br />

1999 51.8 NA NA NA NA<br />

125<br />

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C o N S U M E R A N D P A T I E N T E N G A G E M E N T A N D E x P E R I E N C E<br />

126<br />

Customer service<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

The Customer Service composite measures members’ perception <strong>of</strong> <strong>the</strong> usefulness <strong>and</strong> quality <strong>of</strong><br />

customer service <strong>the</strong>y experienced in <strong>the</strong> last 12 months (for those who tried to get information<br />

or help from <strong>the</strong>ir plan’s customer service). Members were asked how <strong>of</strong>ten <strong>the</strong>ir health plan’s<br />

customer service:<br />

• Gave <strong>the</strong>m <strong>the</strong> information or help <strong>the</strong>y needed<br />

• Treated <strong>the</strong>m with courtesy <strong>and</strong> respect.<br />

Responses were “Never,” “Sometimes,” “Usually” <strong>and</strong> “Always.” The rates displayed represent<br />

<strong>the</strong> average percentage <strong>of</strong> health plan members nationwide who responded “Always.”<br />

yEAR<br />

CustoMEr sErvICE: alWays<br />

CoMMERCIAl MEDICARE MEDICAID<br />

HMo PPo HMo PPo HMo<br />

2010 59.4 55.5 NA NA 59.5<br />

2009 57.9 54.5 66.4 NA 57.9<br />

2008 57.2 53.5 66.6 64.3 59.0<br />

2007 55.4 50.7 66.5 62.5 57.3<br />

2006 54.2 53.9 NA NA 49.7<br />

2005 71.2 69.7 91.5 87.7 68.6<br />

2004 71.0 NA 94.8 NA 69.8<br />

2003 70.8 NA 94.5 NA 69.7<br />

2002 70.4 NA 94.3 NA 67.4<br />

2001 67.2 NA 94.8 NA 67.5<br />

2000 66.6 NA NA NA NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • M E T H o D o l o G y o V E R V I E W<br />

METHoDoloGy oVERVIEW<br />

general Methods<br />

Data in this report are from HEDIS year 2011, which is measure year 2010 (January 1–<br />

December 31, 2010). Unless o<strong>the</strong>rwise noted, all references to “years” in charts <strong>and</strong> tables are<br />

to measure years, not HEDIS years.<br />

because The State <strong>of</strong> Health Care <strong>Quality</strong> Report focuses on health plan performance, summary<br />

tables are not weighted for <strong>the</strong> size <strong>of</strong> eligible populations. Most tables <strong>and</strong> appendices provide<br />

mean rates separately for each measure, or for each indicator in a measure.<br />

In most tables <strong>and</strong> appendices, rate means are provided side-by-side for commercial, Medicare<br />

<strong>and</strong> Medicaid product lines. Results for HMo <strong>and</strong> PPo plans are shown in separate tables. HMo<br />

plans include HMos, HMo/PoS combined, HMo/PPo/PoS combined, HMo/PPo combined<br />

<strong>and</strong> PoS. only plans with <strong>the</strong> sole designation <strong>of</strong> PPo are shown as PPos in tables.<br />

Some reporting periods are limited. for example, PPos have reported substantial HEDIS data<br />

only since measure year 2005; Medicare <strong>and</strong> Medicaid performance data are reported only as<br />

far back as measure year 2001.<br />

best states<br />

Identification <strong>of</strong> high-performing state cohorts is based on <strong>the</strong> state means <strong>of</strong> five measures:<br />

Diabetes (nine indicators), Hypertension (one indicator), Persistence <strong>of</strong> Beta-Blockers After a<br />

Heart Attack (one indicator) <strong>and</strong> Cholesterol Management for Patients With Cardiovascular<br />

Conditions (two indicators).<br />

The unweighted average <strong>of</strong> all indicators across all plans in a state is calculated for each state.<br />

No distinction is made among plans with respect to product line or reporting type. The<br />

composite means are ranked in descending order. The top 10 states compose <strong>the</strong> “best” cohort.<br />

In <strong>the</strong> Diabetes quality composite, <strong>the</strong> Poor Glycemic Control Indicator is inverted before<br />

calculating <strong>the</strong> composite so that higher performance is indicated by a higher rate.<br />

Composite Measure Means by region<br />

Analysis provides mean rates for several composite measures by U.S. Census region. The<br />

Childhood <strong>and</strong> Adolescent Immunizations summary rate comprises <strong>the</strong> rates for vaccinations<br />

127


128<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

appropriate to each age group. Childhood vaccinations included in <strong>the</strong> composite are DTaP/<br />

DT, hepatitis A, hepatitis b, HIb, IPV, MMR, pneumococcal conjugate <strong>and</strong> chicken pox vaccines,<br />

rotavirus, influenza <strong>and</strong> combinations. Adolescent vaccinations included in <strong>the</strong> composite are<br />

meningococcal, Tdap/Td <strong>and</strong> combinations.<br />

Consumer Experience is a summary <strong>of</strong> <strong>the</strong> following indicators: Getting Needed Care, Getting<br />

Care Quickly, How Well Doctors Communicate, Claims Processing, Customer Service, Rating <strong>of</strong><br />

Personal Doctor, Rating <strong>of</strong> Specialist, Rating <strong>of</strong> All Health Care <strong>and</strong> Rating <strong>of</strong> Plan.<br />

All rating summaries reflect ratings <strong>of</strong> 9 or 10 <strong>and</strong> all composites correspond to responses <strong>of</strong><br />

“Always.” The Diabetes composite summarizes <strong>the</strong> mean for <strong>the</strong> following indicators: blood<br />

Pressure Control (9%), lDl Cholesterol Screening, lDl Cholesterol Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • M E T H o D o l o G y o V E R V I E W<br />

Each <strong>of</strong> <strong>the</strong> five RRU measures summarizes a health plan’s utilization <strong>of</strong> several service<br />

categories:<br />

• Inpatient facility<br />

• Evaluation <strong>and</strong> Management (E&M—Inpatient <strong>and</strong> outpatient)<br />

• Procedure <strong>and</strong> Surgery (Inpatient <strong>and</strong> outpatient)<br />

• Ambulatory Pharmacy Services.<br />

<strong>NCQA</strong> calculates two observed-to-expected (o/E) ratios for each health plan, one for quality<br />

<strong>and</strong> one for resource use. An o/E ratio is a plan’s actual quality level or resource use (<strong>the</strong><br />

“observed”), divided by an estimate <strong>of</strong> <strong>the</strong> quality level or resource use <strong>the</strong> plan would have if its<br />

population was <strong>the</strong> same as <strong>the</strong> average population <strong>of</strong> all o<strong>the</strong>r plans submitting data to <strong>NCQA</strong><br />

(<strong>the</strong> “expected”).<br />

To enable comparison within plan types (HMo or PPo), <strong>NCQA</strong> indexes o/E ratios by dividing<br />

each plan’s ratio by <strong>the</strong> national average o/E for all HMos or PPos.<br />

for <strong>the</strong> resource use index, shown as <strong>the</strong> horizontal axis on RRU scatter plots, a ratio <strong>of</strong> 1.00<br />

represents <strong>the</strong> average resource utilization for all HMos or PPos nationally. A ratio greater than<br />

1.00 represents higher-than-expected use; a ratio less than 1.00 represents lower-than-expected use.<br />

for <strong>the</strong> quality index, o<strong>the</strong>rwise known as <strong>the</strong> Effectiveness <strong>of</strong> Care ratio <strong>and</strong> shown as <strong>the</strong><br />

vertical axis on RRU scatter plots, a ratio greater than 1.00 represents better-than-expected<br />

performance; a ratio less than 1.00 represents lower-than-expected performance. for example,<br />

a PPo with a ratio <strong>of</strong> 1.12 for quality <strong>and</strong> 1.15 for resource use delivered quality that was<br />

12 percent better than <strong>the</strong> average PPo serving similar patients, <strong>and</strong> used 15 percent more<br />

resources than <strong>the</strong> PPo average.<br />

Descriptive statistics are provided for composites with up to 10 indicators. With <strong>the</strong> exception <strong>of</strong><br />

<strong>the</strong> CoPD quality RRU composite, <strong>the</strong> summary statistics for composite measures are <strong>the</strong> simple,<br />

unweighted average <strong>of</strong> all measures <strong>and</strong> indicators in <strong>the</strong> composite. Since 2 <strong>of</strong> <strong>the</strong> 3 CoPD<br />

indicators describe <strong>the</strong> same dimension <strong>of</strong> care (Pharmaco<strong>the</strong>rapy Management), each indicator<br />

receives a weight <strong>of</strong> one-half.<br />

129


130<br />

APPENDIx 1: HEDIS EffECTIVENESS <strong>of</strong> CARE<br />

MEASURES: 2010 NATIoNAl HMo AVERAGES<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

natIonal HMo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE MEDICAID<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Imaging Studies for low back Pain 74.2 NA 75.5<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 22.5 NA 23.5<br />

Ambulatory Care—ED Visits per 1,000 Member Months 187.4 450.3 62.0<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 40.7 50.4 42.2<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

76.7 NA 73.6<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

45.0 NA 38.5<br />

52.4 NA 42.7<br />

flu Shots for Adults 52.5 NA NA<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 91.0 NA 83.7<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit between 21 <strong>and</strong> 56 Days After Delivery 80.7 NA 64.4<br />

breast Cancer Screening 70.8 68.5 51.3<br />

Cervical Cancer Screening 77.0 NA 67.2<br />

Colorectal Cancer Screening 62.6 57.6 NA<br />

Chlamydia Screening in Women—16–20 years 40.8 NA 54.6<br />

Chlamydia Screening in Women—21–24 years 45.7 NA 62.3<br />

Chlamydia Screening in Women—Total Rate 43.1 NA 57.5<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 75.5 83.1 76.3<br />

Comprehensive Diabetes Care—blood Pressure Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

natIonal HMo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE MEDICAID<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Control (


132<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

natIonal HMo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE MEDICAID<br />

Childhood Immunization Status—Influenza 57.1 NA 43.6<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

18.5 NA 15.2<br />

Immunizations for Adolescents—Meningococcal 55.2 NA 56.3<br />

Immunizations for Adolescents—Tdap/Td 69.5 NA 67.8<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 51.6 NA 52.2<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 38.8 NA 38.1<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 43.4 NA 43.9<br />

lead Screening in Children NA NA 66.2<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI Percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

35.2 NA 37.3<br />

37.4 NA 45.6<br />

35.3 NA 36.7<br />

frequency <strong>of</strong> Prenatal Care Visits—80% <strong>of</strong> Expected Visits NA NA 61.1<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 1.6 NA 2.2<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 1.1 NA 2.2<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 1.3 NA 3.3<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 2.2 NA 5.7<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 4.9 NA 10.1<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 12.8 NA 16.1<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 76.3 NA 60.2<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 71.6 NA 71.9<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 42.7 NA 48.1<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 12–24 Months 97.5 NA 96.1<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 25 Months–6 years 91.2 NA 88.3<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 7–11 years 91.6 NA 90.2<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Adolescents 12–19 years 89.2 NA 88.1


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

natIonal HMo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE MEDICAID<br />

Measures targeted toward older adults<br />

fall Risk Management—Discussion NA 32.8 NA<br />

fall Risk Management—Management NA 60.1 NA<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Chronic Renal failure <strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Dementia <strong>and</strong> Tricyclic Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

falls <strong>and</strong> Tricyclic Antidepressants, Antipsychotics <strong>and</strong> Sleep Agents*<br />

NA 11.6 NA<br />

NA 28.7 NA<br />

NA 17.1 NA<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* NA 23.3 NA<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* NA 22.1 NA<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* NA 5.1 NA<br />

Management <strong>of</strong> Urinary Incontinence—Discussion NA 58.2 NA<br />

Management <strong>of</strong> Urinary Incontinence—Treatment NA 36.0 NA<br />

Physical Activity in older Adults—Advice NA 47.9 NA<br />

Physical Activity in older Adults—Discussion NA 52.3 NA<br />

osteoporosis Testing in older Women NA 68.5 NA<br />

osteoporosis Management in Women Who Had a fracture NA 20.7 NA<br />

Glaucoma Screening in older Adults NA 63.8 NA<br />

*Lower rates signify better performance.<br />

133


134<br />

APPENDIx 2: HEDIS EffECTIVENESS <strong>of</strong> CARE<br />

MEASURES: 2010 NATIoNAl PPo AVERAGES<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

natIonal PPo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Imaging Studies for low back Pain 73.3 NA<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 21.3 NA<br />

Ambulatory Care—ED Visits per 1,000 Member Months 174 379<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 11.6 36.6<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

71.7 NA<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—Discussing Cessation Strategies 39.0 NA<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—Discussing Cessation Medications 47.2 NA<br />

flu Shots for Adults 51.6 NA<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 75.7 NA<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit between 21 <strong>and</strong> 56 Days After Delivery 65.9 NA<br />

breast Cancer Screening 67.0 65.8<br />

Cervical Cancer Screening 74.5 NA<br />

Colorectal Cancer Screening 47.6 41.0<br />

Chlamydia Screening in Women—16–20 years 38.1 NA<br />

Chlamydia Screening in Women—21–24 years 41.9 NA<br />

Chlamydia Screening in Women—Total Rate 40.0 NA<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 71.3 82.5<br />

Comprehensive Diabetes Care—blood Pressure Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

natIonal PPo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE<br />

Use <strong>of</strong> Spirometry Testing in <strong>the</strong> Assessment <strong>and</strong> Diagnosis <strong>of</strong> CoPD 40.2 35.3<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—bronchodilators 73.5 76.1<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—Systemic Corticosteroids 66.2 69.6<br />

Annual Monitoring for Patients on Persistent Medications—ACE Inhibitors or ARbs 78.4 90.8<br />

Annual Monitoring for Patients on Persistent Medications—Anticonvulsants 57.9 69.1<br />

Annual Monitoring for Patients on Persistent Medications—Digoxin 79.1 92.7<br />

Annual Monitoring for Patients on Persistent Medications—Diuretics 78.1 91.2<br />

Annual Monitoring for Patients on Persistent Medications—Combined 77.8 90.6<br />

Antidepressant Medication Management—Acute Phase 64.3 67.4<br />

Antidepressant Medication Management—Continuation Phase 48.1 55.7<br />

follow-Up After Hospitalization for Mental Illness—Within 7 Days Post-Discharge 54.2 39.1<br />

follow-Up After Hospitalization for Mental Illness—Within 30 Days Post-Discharge 74.1 61.2<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 16.0 4.8<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 40.8 57.4<br />

Measures targeted toward Children <strong>and</strong> adolescents<br />

Appropriate Testing for Children With Pharyngitis 76.6 NA<br />

Appropriate Testing for Children With Upper Respiratory Infection 83.7 NA<br />

Childhood Immunization Status—DTaP/DT 64.7 NA<br />

Childhood Immunization Status—Hepatitis b 58.7 NA<br />

Childhood Immunization Status—Hib 75.5 NA<br />

Childhood Immunization Status—IPV 71.1 NA<br />

Childhood Immunization Status—MMR 82.7 NA<br />

Childhood Immunization Status—Pneumococcal Conjugate (PCV) 65.6 NA<br />

Childhood Immunization Status—VzV 82.2 NA<br />

Childhood Immunization Status—Combination 2 (DTaP, IPV, MMR, Hib, Hepatitis b <strong>and</strong> VzV) 48.5 NA<br />

Childhood Immunization Status—Combination 3 (DTaP, IPV, MMR, Hib, Hepatitis b, VzV <strong>and</strong> PCV) 46.1 NA<br />

Childhood Immunization Status—Hepatitis A 28.6 NA<br />

Childhood Immunization Status—Rotavirus 51.9 NA<br />

Childhood Immunization Status—Influenza 51.1 NA<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR, Hib,<br />

Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

10.4 NA<br />

Immunizations for Adolescents—Meningococcal 43.8 NA<br />

Immunizations for Adolescents—Tdap/Td 55.3 NA<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 39.4 NA<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 38.1 NA<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 43.3 NA<br />

135


136<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

natIonal PPo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI Percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

10.9 NA<br />

11.8 NA<br />

10.5 NA<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 2.9 NA<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 1.5 NA<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 1.7 NA<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 2.7 NA<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 5.3 NA<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 13.0 NA<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 72.8 NA<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 67.8 NA<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 39.2 NA<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 12–24 Months 96.9 NA<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 25 Months–6 years 89.1 NA<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 7–11 years 89.4 NA<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Adolescents 12–19 years 86.8 NA<br />

Measures targeted toward older adults<br />

fall Risk Management—Discussion NA 31.1<br />

fall Risk Management—Management NA 55.3<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—Chronic Renal failure<br />

<strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—Dementia <strong>and</strong> Tricyclic<br />

Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—falls <strong>and</strong> Tricyclic Antidepressants,<br />

Antipsychotics <strong>and</strong> Sleep Agents*<br />

NA 11.7<br />

NA 27.3<br />

NA 16.3<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* NA 21.8<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* NA 21.9<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* NA 5.1<br />

Management <strong>of</strong> Urinary Incontinence—Discussion NA 57.9<br />

Management <strong>of</strong> Urinary Incontinence—Treatment NA 36.3<br />

Physical Activity in older Adults—Advice NA 47.6<br />

Physical Activity in older Adults—Discussion NA 53.9<br />

osteoporosis Testing in older Women NA 73.4<br />

osteoporosis Management in Women Who Had a fracture NA 18.5<br />

Glaucoma Screening in older Adults NA 65.1<br />

*Lower rates signify better performance.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 3A: CAHPS MEMbER SATISfACTIoN<br />

MEASURES: 2010 NATIoNAl HMo AVERAGES<br />

CaHPs MEMbEr satIsfaCtIon MEasurEs<br />

natIonal HMo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE MEDICAID<br />

Consumer <strong>and</strong> Patient Engagement <strong>and</strong> Experience<br />

Rating <strong>of</strong> Health Plan—Rating <strong>of</strong> 8, 9 or 10 64.2 NA 72.4<br />

Rating <strong>of</strong> Health Plan—Rating <strong>of</strong> 9 or 10 40.3 NA 54.7<br />

Rating <strong>of</strong> Health Care—Rating <strong>of</strong> 8, 9 or 10 76.6 NA 68.9<br />

Rating <strong>of</strong> Health Care—Rating <strong>of</strong> 9 or 10 50.7 NA 48.8<br />

Getting Needed Care—Usually or Always 86.2 NA 76.0<br />

Getting Needed Care—Always 53.9 NA 50.1<br />

Getting Care Quickly—Usually or Always 86.5 NA 80.6<br />

Getting Care Quickly—Always 58.2 NA 56.2<br />

How Well Doctors Communicate—Usually or Always 93.9 NA 87.8<br />

How Well Doctors Communicate—Always 73.5 NA 69.1<br />

Rating <strong>of</strong> Personal Doctor—Rating <strong>of</strong> 8, 9 or 10 83.2 NA 76.4<br />

Rating <strong>of</strong> Personal Doctor—Rating <strong>of</strong> 9 or 10 65.0 NA 61.1<br />

Rating <strong>of</strong> Specialist—Rating <strong>of</strong> 8, 9 or 10 82.3 NA 76.9<br />

Rating <strong>of</strong> Specialist—Rating <strong>of</strong> 9 or 10 64.1 NA 61.3<br />

Customer Service—Usually or Always 84.5 NA 79.7<br />

Customer Service—Always 59.4 NA 59.5<br />

Claims Processing—Usually or Always 88.6 NA NA<br />

Claims Processing—Always 55.5 NA NA<br />

137


138<br />

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APPENDIx 3b: CAHPS MEMbER SATISfACTIoN<br />

MEASURES: 2010 NATIoNAl PPo AVERAGES<br />

CaHPs MEMbEr satIsfaCtIon MEasurEs<br />

natIonal PPo avEragEs—2010<br />

MEASURE CoMMERCIAl MEDICARE<br />

Consumer <strong>and</strong> Patient Engagement <strong>and</strong> Experience<br />

Rating <strong>of</strong> Health Plan—Rating <strong>of</strong> 8, 9 or 10 58.6 NA<br />

Rating <strong>of</strong> Health Plan—Rating <strong>of</strong> 9 or 10 33.7 NA<br />

Rating <strong>of</strong> Health Care—Rating <strong>of</strong> 8, 9 or 10 75.6 NA<br />

Rating <strong>of</strong> Health Care—Rating <strong>of</strong> 9 or 10 48.1 NA<br />

Getting Needed Care—Usually or Always 86.6 NA<br />

Getting Needed Care—Always 53.9 NA<br />

Getting Care Quickly—Usually or Always 87.1 NA<br />

Getting Care Quickly—Always 57.7 NA<br />

How Well Doctors Communicate—Usually or Always 94.6 NA<br />

How Well Doctors Communicate—Always 73.5 NA<br />

Rating <strong>of</strong> Personal Doctor—Rating <strong>of</strong> 8, 9 or 10 82.8 NA<br />

Rating <strong>of</strong> Personal Doctor—Rating <strong>of</strong> 9 or 10 62.8 NA<br />

Rating <strong>of</strong> Specialist—Rating <strong>of</strong> 8, 9 or 10 81.6 NA<br />

Rating <strong>of</strong> Specialist—Rating <strong>of</strong> 9 or 10 61.9 NA<br />

Customer Service—Usually or Always 83.0 NA<br />

Customer Service—Always 55.5 NA<br />

Claims Processing—Usually or Always 87.8 NA<br />

Claims Processing—Always 50.7 NA


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 4A: ACCREDITED VS. NoNACCREDITED<br />

PlANS: 2010 CoMMERCIAl HMo AVERAGES<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: CoMMErCIal HMo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

Imaging Studies for low back Pain 74.5 73.2 1.2<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 22.3 23.3 -0.9<br />

Ambulatory Care—ED Visits per 1,000 Member Months 188.6 183.2 5.4<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 41.4 38.1 3.2<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

76.8 76.1 0.7<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

45.1 44.6 0.5<br />

52.4 52.2 0.3<br />

flu Shots for Adults 52.1 54.1 -2.0<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 92.1 86.6 5.5<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit<br />

between 21 <strong>and</strong> 56 Days After Delivery<br />

81.5 77.6 3.9<br />

breast Cancer Screening 71.2 69.5 1.7<br />

Cervical Cancer Screening 77.7 74.5 3.2<br />

Colorectal Cancer Screening 63.7 58.8 4.9<br />

Chlamydia Screening in Women—16–20 years 42.1 36.4 5.6<br />

Chlamydia Screening in Women—21–24 years 46.9 41.4 5.5<br />

Chlamydia Screening in Women—Total Rate 44.4 39.0 5.4<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 75.5 75.5 0.0<br />

Comprehensive Diabetes Care—blood Pressure Control (


140<br />

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HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: CoMMErCIal HMo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Cholesterol Screening<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: CoMMErCIal HMo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

Childhood Immunization Status—Combination 3<br />

(DTaP, IPV, MMR, Hib, Hepatitis b, VzV <strong>and</strong> PCV)<br />

76.5 69.4 7.1<br />

Childhood Immunization Status—Hepatitis A 35.0 37.0 -2.1<br />

Childhood Immunization Status—Rotavirus 63.8 62.1 1.7<br />

Childhood Immunization Status—Influenza 58.1 53.5 4.6<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

18.9 17.3 1.6<br />

Immunizations for Adolescents—Meningococcal 55.9 52.2 3.7<br />

Immunizations for Adolescents—Tdap/Td 69.6 69.0 0.7<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 52.3 49.1 3.2<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 39.3 36.5 2.9<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 43.8 41.0 2.8<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI Percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

35.7 33.6 2.0<br />

38.1 34.9 3.1<br />

35.9 33.1 2.8<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 1.6 1.6 0.0<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 1.1 1.0 0.1<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 1.2 1.7 -0.4<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 2.1 2.6 -0.4<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 4.6 5.8 -1.2<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 12.3 14.7 -2.5<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 77.3 72.7 4.6<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 72.9 66.7 6.3<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 44.2 37.4 6.8<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 7–11 years<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

*Lower rates signify better performance.<br />

141<br />

97.5 97.7 -0.2<br />

91.4 90.4 1.1<br />

91.9 90.5 1.5<br />

89.5 88.1 1.4


142<br />

APPENDIx 4b: ACCREDITED VS. NoNACCREDITED<br />

PlANS: 2010 CoMMERCIAl PPo AVERAGES<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: CoMMErCIal PPo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Imaging Studies for low back Pain 73.0 73.9 -1.0<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 21.3 21.2 0.1<br />

Ambulatory Care—ED Visits per 1,000 Member Months 180.8 159.9 20.9<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 11.5 12.0 -0.5<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

71.7 71.6 0.0<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

39.0 38.9 0.0<br />

47.3 46.9 0.4<br />

flu Shots for Adults 51.8 51.2 0.6<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 72.5 82.2 -9.7<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit<br />

between 21 <strong>and</strong> 56 Days After Delivery<br />

63.9 70.0 -6.1<br />

breast Cancer Screening 67.5 66.1 1.3<br />

Cervical Cancer Screening 74.8 74.0 0.8<br />

Colorectal Cancer Screening 49.1 44.2 4.9<br />

Chlamydia Screening in Women—16–20 years 38.1 38.1 0.0<br />

Chlamydia Screening in Women—21–24 years 41.7 42.4 -0.7<br />

Chlamydia Screening in Women—Total Rate 39.9 40.2 -0.2<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 71.5 70.9 0.6<br />

Comprehensive Diabetes Care—blood Pressure Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: CoMMErCIal PPo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Control (


144<br />

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HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: CoMMErCIal PPo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

Childhood Immunization Status—Hepatitis A 28.1 29.6 -1.4<br />

Childhood Immunization Status—Rotavirus 49.9 55.9 -6.0<br />

Childhood Immunization Status—Influenza 50.3 52.7 -2.4<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

9.5 12.0 -2.5<br />

Immunizations for Adolescents—Meningococcal 43.7 43.8 -0.1<br />

Immunizations for Adolescents—Tdap/Td 55.3 55.1 0.2<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 39.5 39.2 0.3<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 37.7 39.1 -1.4<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 43.5 42.7 0.8<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI Percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

10.9 11.2 -0.4<br />

11.6 12.4 -0.8<br />

10.4 10.9 -0.5<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 2.3 4.4 -2.1<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 1.3 2.0 -0.7<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 1.6 2.0 -0.4<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 2.6 3.0 -0.4<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 5.3 5.3 -0.1<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 13.3 12.2 1.1<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 73.6 71.0 2.6<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 68.2 66.9 1.3<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 39.5 38.6 1.0<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 7–11 years<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

*Lower rates signify better performance.<br />

97.3 96.2 1.0<br />

89.6 88.0 1.5<br />

90.0 88.3 1.7<br />

87.2 85.9 1.3


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 5: ACCREDITED VS. NoNACCREDITED<br />

PlANS: 2010 MEDICAID HMo AVERAGES<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: MEdICaId HMo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

Imaging Studies for low back Pain 74.9 76.0 -1.1<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 22.4 24.5 -2.2<br />

Ambulatory Care—ED Visits per 1,000 Member Months 64.1 60.1 4.0<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 45.6 38.1 7.5<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

74.3<br />

72.7 1.5<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

39.5<br />

37.1 2.4<br />

44.0 40.8 3.2<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 85.2 82.4 2.8<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit<br />

between 21 <strong>and</strong> 56 Days After Delivery<br />

65.2 63.7 1.4<br />

breast Cancer Screening 52.0 50.8 1.2<br />

Cervical Cancer Screening 69.1 65.8 3.3<br />

Chlamydia Screening in Women—16–20 years 55.1 54.2 1.0<br />

Chlamydia Screening in Women—21–24 years 63.5 61.2 2.3<br />

Chlamydia Screening in Women—Total Rate 58.2 56.8 1.4<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 77.4 74.1 3.3<br />

Comprehensive Diabetes Care—blood Pressure Control (


146<br />

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HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: MEdICaId HMo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

Disease Modifying Anti-Rheumatic Drug Therapy in Rheumatoid Arthritis 71.1 68.4 2.7<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—5–11 years 91.7 91.9 -0.2<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—12–50 years 85.8 85.8 0.0<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—overall Rate 88.4 88.4 0.0<br />

Use <strong>of</strong> Spirometry Testing in <strong>the</strong> Assessment <strong>and</strong> Diagnosis <strong>of</strong> CoPD 30.4 32.9 -2.4<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—bronchodilators 82.3 81.7 0.6<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—Systemic Corticosteroids 65.7 64.8 0.9<br />

Annual Monitoring for Patients on Persistent Medications—<br />

ACE Inhibitors or ARbs<br />

86.3 85.7 0.6<br />

Annual Monitoring for Patients on Persistent Medications—Anticonvulsants 67.9 67.5 0.4<br />

Annual Monitoring for Patients on Persistent Medications—Digoxin 89.0 91.0 -2.1<br />

Annual Monitoring for Patients on Persistent Medications—Diuretics 86.0 84.9 1.0<br />

Annual Monitoring for Patients on Persistent Medications—Combined 83.9 83.8 0.1<br />

Antidepressant Medication Management—Acute Phase 50.4 50.9 -0.5<br />

Antidepressant Medication Management—Continuation Phase 33.5 35.1 -1.5<br />

follow-Up After Hospitalization for Mental Illness—<br />

Within 7 Days Post-Discharge<br />

follow-Up After Hospitalization for Mental Illness—<br />

Within 30 Days Post-Discharge<br />

48.2 41.8 6.4<br />

66.8 61.4 5.4<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 15.6 13.1 2.5<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 47.2 39.5 7.7<br />

Measures targeted toward Children <strong>and</strong> adolescents<br />

Appropriate Testing for Children With Pharyngitis 63.9 65.9 -2.0<br />

Appropriate Testing for Children With Upper Respiratory Infection 86.3 88.0 -1.7<br />

Childhood Immunization Status—DTaP/DT 81.3 79.3 1.9<br />

Childhood Immunization Status—Hepatitis b 91.0 89.3 1.7<br />

Childhood Immunization Status—Hib 91.3 89.4 1.9<br />

Childhood Immunization Status—IPV 91.6 90.2 1.5<br />

Childhood Immunization Status—MMR 91.5 89.9 1.6<br />

Childhood Immunization Status—Pneumococcal Conjugate (PCV) 80.9 78.1 2.8<br />

Childhood Immunization Status—VzV 91.1 89.2 1.9<br />

Childhood Immunization Status—Combination 2<br />

(DTaP, IPV, MMR, Hib, Hepatitis b <strong>and</strong> VzV)<br />

Childhood Immunization Status—Combination 3<br />

(DTaP, IPV, MMR, Hib, Hepatitis b, VzV <strong>and</strong> PCV)<br />

75.8 72.6 3.2<br />

71.6 68.5 3.1<br />

Childhood Immunization Status—Hepatitis A 37.9 35.1 2.7<br />

Childhood Immunization Status—Rotavirus 59.8 55.6 4.2


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: MEdICaId HMo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

Childhood Immunization Status—Influenza 45.0 42.2 2.7<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

16.6 13.9 2.7<br />

Immunizations for Adolescents—Meningococcal 57.4 55.1 2.3<br />

Immunizations for Adolescents—Tdap/Td 68.7 66.9 1.8<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 53.4 50.9 2.5<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 38.0 38.2 -0.1<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 43.1 45.0 -1.9<br />

lead Screening in Children 69.0 63.4 5.6<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI Percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

37.4 37.1 0.3<br />

47.4 43.9 3.4<br />

37.5 35.9 1.6<br />

frequency <strong>of</strong> Prenatal Care Visits—80% <strong>of</strong> Expected Visits 63.5 58.5 5.0<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 1.8 2.5 -0.7<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 1.9 2.4 -0.5<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 3.0 3.7 -0.7<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 5.3 6.1 -0.8<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 9.1 10.9 -1.8<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 14.8 17.2 -2.5<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 63.9 57.1 6.8<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 73.7 70.6 3.1<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 50.8 46.1 4.8<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 7–11 years<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

*Lower rates signify better performance.<br />

147<br />

96.5 95.7 0.9<br />

89.0 87.6 1.4<br />

90.5 89.9 0.6<br />

88.3 88.0 0.2


148<br />

APPENDIx 6A: ACCREDITED VS. NoNACCREDITED<br />

PlANS: 2010 MEDICARE HMo AVERAGES<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: MEdICarE HMo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Ambulatory Care—ED Visits per 1,000 Member Months 362.5 501 -138.5<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 56.0 47.1 9.0<br />

breast Cancer Screening 72.1 66.3 5.7<br />

Colorectal Cancer Screening<br />

Chronic disease Management<br />

64.9 53.3 11.6<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 83.9 82.2 1.7<br />

Comprehensive Diabetes Care—blood Pressure Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: MEdICarE HMo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

follow-Up After Hospitalization for Mental Illness—<br />

Within 30 Days Post-Discharge<br />

63.8 49.4 14.4<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 4.2 3.4 0.8<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 48.8 41.9 6.9<br />

Measures targeted toward older adults<br />

fall Risk Management—Discussion 28.8 35.2 -6.3<br />

fall Risk Management—Management 58.0 61.3 -3.4<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Chronic Renal failure <strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Dementia <strong>and</strong> Tricyclic Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

falls <strong>and</strong> Tricyclic Antidepressants, Antipsychotics <strong>and</strong> Sleep Agents*<br />

9.0 14.0 -4.9<br />

24.2 31.6 -7.4<br />

15.5 18.3 -2.8<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* 19.9 25.3 -5.4<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* 18.6 24.1 -5.5<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* 3.7 5.9 -2.2<br />

Management <strong>of</strong> Urinary Incontinence—Discussion 57.3 58.8 -1.5<br />

Management <strong>of</strong> Urinary Incontinence—Treatment 35.8 36.1 -0.2<br />

Physical Activity in older Adults—Advice 47.3 48.3 -1.0<br />

Physical Activity in older Adults—Discussion 53.3 51.8 1.6<br />

osteoporosis Testing in older Women 73.0 65.9 7.1<br />

osteoporosis Management in Women Who Had a fracture 23.5 18.5 5.0<br />

Glaucoma Screening in older Adults 67.0 61.9 5.1<br />

* Lower rates signify better performance.<br />

149


150<br />

APPENDIx 6b: ACCREDITED VS. NoNACCREDITED<br />

PlANS: 2010 MEDICARE PPo AVERAGES<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: MEdICarE PPo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Ambulatory Care—ED Visits per 1,000 Member Months 382.8 377.9 4.9<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 42.1 34.9 7.1<br />

breast Cancer Screening 66.7 65.5 1.2<br />

Colorectal Cancer Screening<br />

Chronic disease Management<br />

45.3 39.8 5.5<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 82.0 82.7 -0.7<br />

Comprehensive Diabetes Care—blood Pressure Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

aCCrEdItEd vs. nonaCCrEdItEd Plans: MEdICarE PPo avEragEs—2010<br />

MEASURE ACCREDITED NoNACCREDITED DIffERENCE<br />

follow-Up After Hospitalization for Mental Illness—<br />

Within 30 Days Post-Discharge<br />

63.1 60.7 2.4<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 4.4 4.9 -0.4<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 50.3 59.4 -9.1<br />

Measures Targeted Toward older Adults<br />

fall Risk Management—Discussion 30.1 31.3 -1.3<br />

fall Risk Management—Management 55.8 55.2 0.6<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Chronic Renal failure <strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Dementia <strong>and</strong> Tricyclic Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—falls<br />

<strong>and</strong> Tricyclic Antidepressants, Antipsychotics <strong>and</strong> Sleep Agents*<br />

9.5 12.5 -2.9<br />

24.0 28.5 -4.5<br />

14.0 17.1 -3.1<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* 19.1 22.7 -3.6<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* 19.7 22.5 -2.8<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* 4.3 5.3 -1.0<br />

Management <strong>of</strong> Urinary Incontinence—Discussion 57.1 58.1 -1.0<br />

Management <strong>of</strong> Urinary Incontinence—Treatment 37.1 36.1 1.0<br />

Physical Activity in older Adults—Advice 48.5 47.3 1.1<br />

Physical Activity in older Adults—Discussion 55.6 53.4 2.2<br />

osteoporosis Testing in older Women 75.0 73.0 2.0<br />

osteoporosis Management in Women Who Had a fracture 19.5 18.1 1.4<br />

Glaucoma Screening in older Adults 65.2 65.1 0.2<br />

*Lower rates signify better performance.<br />

151


152<br />

APPENDIx 7A: PUblICly REPoRTING VS. NoNPUblICly<br />

REPoRTING PlANS: 2010 CoMMERCIAl HMoS<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

CoMMErCIal HMo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Imaging Studies for low back Pain 74.4 72.7 1.7<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 22.4 24.1 -1.7<br />

Ambulatory Care—ED Visits per 1,000 Member Months 186.9 192.3 -5.4<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 40.8 38.5 2.3<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

76.8 75.2 1.6<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

45.2 43.0 2.3<br />

52.5 51.0 1.5<br />

flu Shots for Adults 52.3 54.4 -2.1<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 91.8 83.3 8.5<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit between 21 <strong>and</strong> 56 Days After Delivery 81.6 72.7 9.0<br />

breast Cancer Screening 71.1 68.6 2.5<br />

Cervical Cancer Screening 77.3 73.6 3.8<br />

Colorectal Cancer Screening 63.1 58.7 4.4<br />

Chlamydia Screening in Women—16–20 years 41.3 36.6 4.7<br />

Chlamydia Screening in Women—21–24 years 46.2 41.4 4.8<br />

Chlamydia Screening in Women—Total Rate 43.6 39.1 4.5<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 75.6 75.0 0.6<br />

Comprehensive Diabetes Care—blood Pressure Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

CoMMErCIal HMo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Control (


154<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

CoMMErCIal HMo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

Childhood Immunization Status—Rotavirus 63.8 60.9 2.9<br />

Childhood Immunization Status—Influenza 58.0 49.4 8.7<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

18.7 16.7 2.0<br />

Immunizations for Adolescents—Meningococcal 55.2 54.2 1.0<br />

Immunizations for Adolescents—Tdap/Td 69.6 67.7 2.0<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 51.7 51.2 0.4<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 39.1 34.3 4.8<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 43.7 37.6 6.2<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

35.5 32.3 3.2<br />

37.6 35.1 2.4<br />

35.6 31.9 3.6<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 1.6 1.8 -0.2<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 1.1 0.6 0.5<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 1.3 1.8 -0.5<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 2.2 2.4 -0.2<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 4.8 5.7 -1.0<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 12.5 15.9 -3.5<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 76.8 71.7 5.2<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 72.4 64.5 7.8<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 43.5 35.7 7.8<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

97.5 97.1 0.5<br />

91.4 89.3 2.1<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 7–11 years 91.9 89.3 2.6<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

*Lower rates signify better performance.<br />

89.5 86.9 2.6


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 7b: PUblICly REPoRTING VS. NoNPUblICly<br />

REPoRTING PlANS: 2010 CoMMERCIAl PPoS<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

CoMMErCIal PPo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

Imaging Studies for low back Pain 73.2 77.8 -4.6<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 21.3 19.5 1.8<br />

Ambulatory Care—ED Visits per 1,000 Member Months 175.1 131.7 43.3<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 11.4 16.1 -4.6<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

71.7 71.7 0.0<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

39.0 35.2 3.8<br />

47.3 41.6 5.7<br />

flu Shots for Adults 51.7 47.3 4.4<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 76.1 62.0 14.1<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit between 21 <strong>and</strong> 56 Days After Delivery 65.9 68.1 -2.2<br />

breast Cancer Screening 67.1 63.9 3.2<br />

Cervical Cancer Screening 74.5 73.1 1.5<br />

Colorectal Cancer Screening 47.8 39.0 8.8<br />

Chlamydia Screening in Women—16–20 years 38.3 31.1 7.2<br />

Chlamydia Screening in Women—21–24 years 42.1 34.1 8.0<br />

Chlamydia Screening in Women—Total Rate 40.2 32.8 7.4<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 71.3 69.5 1.8<br />

Comprehensive Diabetes Care—blood Pressure Control (


156<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

CoMMErCIal PPo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Cholesterol Screening<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

CoMMErCIal PPo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

Childhood Immunization Status—Combination 3<br />

(DTaP, IPV, MMR, Hib, Hepatitis b, VzV <strong>and</strong> PCV)<br />

46.1 44.9 1.2<br />

Childhood Immunization Status—Hepatitis A 28.6 30.2 -1.6<br />

Childhood Immunization Status—Rotavirus 52.3 38.5 13.7<br />

Childhood Immunization Status—Influenza 51.3 42.7 8.6<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

10.3 12.3 -1.9<br />

Immunizations for Adolescents—Meningococcal 44.1 32.5 11.6<br />

Immunizations for Adolescents—Tdap/Td 55.5 46.5 9.0<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 39.7 29.6 10.1<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 38.0 41.2 -3.2<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 43.2 47.5 -4.3<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

10.8 15.5 -4.7<br />

11.8 10.5 1.3<br />

10.5 12.4 -1.9<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 2.9 6.3 -3.5<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 1.5 1.8 -0.2<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 1.7 2.8 -1.1<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 2.6 6.1 -3.5<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 5.2 9.1 -3.9<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 13.0 14.0 -1.1<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 73.1 59.9 13.2<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 68.1 56.8 11.3<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 39.5 28.2 11.3<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

97.0 92.4 4.7<br />

89.2 82.6 6.7<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 7–11 years 89.6 82.5 7.1<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

* Lower rates signify better performance.<br />

157<br />

86.9 83.2 3.7


158<br />

APPENDIx 8: PUblICly REPoRTING VS. NoNPUblICly<br />

REPoRTING PlANS: 2010 MEDICAID HMoS<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

MEdICaId HMo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

Imaging Studies for low back Pain 75.1 76.4 -1.3<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 23.1 24.4 -1.3<br />

Ambulatory Care—ED Visits per 1,000 Member Months 62.2 61.4 0.8<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 45.5 34.1 11.4<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

74.0 72.7 1.3<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

39.1 36.9 2.2<br />

43.7 40.0 3.7<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 85.2 80.4 4.8<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit between 21 <strong>and</strong> 56 Days After Delivery 65.2 62.5 2.7<br />

breast Cancer Screening 51.2 51.6 -0.4<br />

Cervical Cancer Screening 67.6 66.3 1.3<br />

Chlamydia Screening in Women—16–20 years 55.1 53.8 1.2<br />

Chlamydia Screening in Women—21–24 years 62.3 62.2 0.1<br />

Chlamydia Screening in Women—Total Rate 57.7 57.0 0.8<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 77.6 69.9 7.7<br />

Comprehensive Diabetes Care—blood Pressure Control (


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

MEdICaId HMo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

Disease Modifying Anti-Rheumatic Drug Therapy in Rheumatoid Arthritis 70.6 68.7 1.9<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—5–11 years 91.8 91.8 0.0<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—12–50 years 85.8 85.9 -0.2<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—overall Rate 88.5 88.1 0.4<br />

Use <strong>of</strong> Spirometry Testing in <strong>the</strong> Assessment <strong>and</strong> Diagnosis <strong>of</strong> CoPD 30.4 34.2 -3.8<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—bronchodilators 82.5 81.1 1.4<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—Systemic Corticosteroids 65.4 65.2 0.2<br />

Annual Monitoring for Patients on Persistent Medications—ACE Inhibitors or ARbs 86.3 85.5 0.8<br />

Annual Monitoring for Patients on Persistent Medications—Anticonvulsants 68.4 66.1 2.4<br />

Annual Monitoring for Patients on Persistent Medications—Digoxin 89.3 91.1 -1.8<br />

Annual Monitoring for Patients on Persistent Medications—Diuretics 85.9 84.6 1.2<br />

Annual Monitoring for Patients on Persistent Medications—Combined 84.0 83.6 0.4<br />

Antidepressant Medication Management—Acute Phase 50.0 52.0 -1.9<br />

Antidepressant Medication Management—Continuation Phase 33.5 36.0 -2.5<br />

follow-Up After Hospitalization for Mental Illness—Within 7 Days Post-Discharge 45.9 42.0 3.9<br />

follow-Up After Hospitalization for Mental Illness—Within 30 Days Post-Discharge 65.2 61.1 4.1<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 14.8 13.3 1.4<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 44.5 40.5 4.1<br />

Measures targeted toward Children <strong>and</strong> adolescents<br />

Appropriate Testing for Children With Pharyngitis 64.3 66.1 -1.8<br />

Appropriate Testing for Children With Upper Respiratory Infection 86.9 87.8 -0.9<br />

Childhood Immunization Status—DTaP/DT 80.4 79.7 0.7<br />

Childhood Immunization Status—Hepatitis b 90.9 88.1 2.8<br />

Childhood Immunization Status—Hib 90.7 89.1 1.7<br />

Childhood Immunization Status—IPV 91.3 89.7 1.6<br />

Childhood Immunization Status—MMR 91.2 89.4 1.8<br />

Childhood Immunization Status—Pneumococcal Conjugate (PCV) 80.0 77.7 2.3<br />

Childhood Immunization Status—VzV 90.6 88.8 1.7<br />

Childhood Immunization Status—Combination 2<br />

(DTaP, IPV, MMR, Hib, Hepatitis b <strong>and</strong> VzV)<br />

Childhood Immunization Status—Combination 3<br />

(DTaP, IPV, MMR, Hib, Hepatitis b, VzV <strong>and</strong> PCV)<br />

74.8 72.5 2.3<br />

70.7 67.9 2.8<br />

Childhood Immunization Status—Hepatitis A 37.4 34.1 3.3<br />

Childhood Immunization Status—Rotavirus 58.7 55.0 3.7<br />

Childhood Immunization Status—Influenza 43.9 42.6 1.3<br />

159


160<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

MEdICaId HMo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

16.0 13.3 2.8<br />

Immunizations for Adolescents—Meningococcal 56.9 54.9 2.1<br />

Immunizations for Adolescents—Tdap/Td 67.5 68.5 -1.0<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 52.9 50.6 2.3<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 38.8 36.7 2.1<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 45.0 41.3 3.7<br />

lead Screening in Children 66.7 65.1 1.7<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

38.8 33.6 5.2<br />

48.2 39.1 9.1<br />

38.2 32.8 5.5<br />

frequency <strong>of</strong> Prenatal Care Visits—80% <strong>of</strong> Expected Visits 64.2 53.3 10.9<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 2.1 2.3 -0.2<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 2.1 2.3 -0.2<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 3.3 3.5 -0.2<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 5.7 5.8 -0.2<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 9.7 10.8 -1.2<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 15.5 17.3 -1.8<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 61.4 57.5 4.0<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 72.2 71.2 0.9<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 48.9 46.2 2.7<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

96.0 96.2 -0.2<br />

88.1 88.6 -0.5<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 7–11 years 90.2 90.2 0.0<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

*Lower rates signify better performance.<br />

88.1 88.2 -0.1


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 9A: PUblICly REPoRTING VS. NoNPUblICly<br />

REPoRTING PlANS: 2010 MEDICARE HMoS<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

MEdICarE HMo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

Ambulatory Care—ED Visits per 1,000 Member Months 412.5 611.4 -198.8<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 53.4 37.6 15.8<br />

breast Cancer Screening 69.8 62.8 7.0<br />

Colorectal Cancer Screening<br />

Chronic disease Management<br />

59.6 49.0 10.6<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 83.2 82.4 0.8<br />

Comprehensive Diabetes Care—blood Pressure Control (


162<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

MEdICarE HMo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 3.8 3.5 0.3<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 45.4 41.1 4.3<br />

Measures targeted toward older adults<br />

fall Risk Management—Discussion 31.3 38.9 -7.6<br />

fall Risk Management—Management 59.1 64.3 -5.2<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Chronic Renal failure <strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Dementia <strong>and</strong> Tricyclic Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

falls <strong>and</strong> Tricyclic Antidepressants, Antipsychotics <strong>and</strong> Sleep Agents*<br />

10.6 18.4 -7.8<br />

27.5 33.9 -6.4<br />

16.6 19.5 -2.9<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* 22.2 27.7 -5.4<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* 21.2 26.1 -4.9<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* 4.8 6.7 -2.0<br />

Management <strong>of</strong> Urinary Incontinence—Discussion 57.8 60.3 -2.5<br />

Management <strong>of</strong> Urinary Incontinence—Treatment 36.0 36.0 -0.1<br />

Physical Activity in older Adults—Advice 47.8 48.6 -0.9<br />

Physical Activity in older Adults—Discussion 52.8 50.6 2.2<br />

osteoporosis Testing in older Women 69.8 63.2 6.6<br />

osteoporosis Management in Women Who Had a fracture 21.6 15.9 5.7<br />

Glaucoma Screening in older Adults 65.0 58.5 6.5<br />

*Lower rates signify better performance.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 9b: PUblICly REPoRTING VS. NoNPUblICly<br />

REPoRTING PlANS: 2010 MEDICARE PPoS<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

MEdICarE PPo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

Ambulatory Care—ED Visits per 1,000 Member Months 372.3 428.3 -56.0<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 37.7 27.2 10.6<br />

breast Cancer Screening 65.8 65.7 0.0<br />

Colorectal Cancer Screening<br />

Chronic disease Management<br />

41.3 38.9 2.4<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 83.2 78.7 4.5<br />

Comprehensive Diabetes Care—blood Pressure Control (


164<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

PublICly rEPortIng vs. nonPublICly rEPortIng Plans:<br />

MEdICarE PPo avEragEs—2010<br />

MEASURE PUblIC NoNPUblIC DIffERENCE<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 4.6 6.2 -1.6<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 57.8 53.3 4.5<br />

Measures targeted toward older adults<br />

fall Risk Management—Discussion 31.0 31.6 -0.6<br />

fall Risk Management—Management 55.5 54.2 1.3<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Chronic Renal failure <strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Dementia <strong>and</strong> Tricyclic Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

falls <strong>and</strong> Tricyclic Antidepressants, Antipsychotics <strong>and</strong> Sleep Agents*<br />

10.8 19.1 -8.3<br />

27.0 29.9 -2.9<br />

16.1 18.0 -1.9<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* 21.4 25.6 -4.2<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* 21.8 22.1 -0.2<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* 5.0 5.3 -0.3<br />

Management <strong>of</strong> Urinary Incontinence—Discussion 58.1 56.3 1.8<br />

Management <strong>of</strong> Urinary Incontinence—Treatment 36.6 34.3 2.3<br />

Physical Activity in older Adults—Advice 47.5 48.7 -1.3<br />

Physical Activity in older Adults—Discussion 54.1 52.0 2.1<br />

osteoporosis Testing in older Women 73.5 73.2 0.2<br />

osteoporosis Management in Women Who Had a fracture 18.7 16.7 2.0<br />

Glaucoma Screening in older Adults 65.0 66.2 -1.3<br />

*Lower rates signify better performance.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 10: HMoS VS. PPoS, CoMMERCIAl PlANS<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

HMos vs. PPos: CoMMErCIal avEragEs—2010<br />

MEASURE HMo PPo DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

Imaging Studies for low back Pain 74.2 73.3 -0.9<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 22.5 21.3 -1.2<br />

Ambulatory Care—ED Visits per 1,000 Member Months 187.4 174 -13.4<br />

Wellness <strong>and</strong> Prevention<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

76.7 71.7 -5.0<br />

45.0 39.0 -6.0<br />

52.4 47.2 -5.1<br />

flu Shots for Adults 52.5 51.6 -0.9<br />

breast Cancer Screening 70.8 67.0 -3.8<br />

Cervical Cancer Screening 77.0 74.5 -2.4<br />

Chlamydia Screening in Women—16–20 years 40.8 38.1 -2.7<br />

Chlamydia Screening in Women—21–24 years 45.7 41.9 -3.8<br />

Chlamydia Screening in Women—Total Rate 43.1 40.0 -3.1<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 75.5 71.3 -4.2<br />

Disease Modifying Anti-Rheumatic Drug Therapy in Rheumatoid Arthritis 87.7 87.0 -0.7<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—5–11 years 96.7 97.0 0.4<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—12–50 years 91.8 91.8 0.0<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—overall Rate 92.9 93.0 0.2<br />

Use <strong>of</strong> Spirometry Testing in <strong>the</strong> Assessment <strong>and</strong> Diagnosis <strong>of</strong> CoPD 41.7 40.2 -1.5<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—bronchodilators 77.8 73.5 -4.3<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—Systemic Corticosteroids 69.8 66.2 -3.7<br />

Annual Monitoring for Patients on Persistent Medications—ACE Inhibitors or ARbs 81.6 78.4 -3.2<br />

Annual Monitoring for Patients on Persistent Medications—Anticonvulsants 60.4 57.9 -2.5<br />

Annual Monitoring for Patients on Persistent Medications—Digoxin 84.6 79.1 -5.5<br />

Annual Monitoring for Patients on Persistent Medications—Diuretics 81.0 78.1 -2.9<br />

Annual Monitoring for Patients on Persistent Medications—Combined 80.9 77.8 -3.1<br />

Antidepressant Medication Management—Acute Phase 64.7 64.3 -0.4<br />

Antidepressant Medication Management—Continuation Phase 48.3 48.1 -0.3<br />

follow-Up After Hospitalization for Mental Illness—Within 7 Days Post-Discharge 59.7 54.2 -5.6<br />

follow-Up After Hospitalization for Mental Illness—Within 30 Days Post-Discharge 77.4 74.1 -3.2<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 15.6 16.0 0.3<br />

165


166<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

HMos vs. PPos: CoMMErCIal avEragEs—2010<br />

MEASURE HMo PPo DIffERENCE<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 42.7 40.8 -1.9<br />

Measures targeted toward Children <strong>and</strong> adolescents<br />

Appropriate Testing for Children With Pharyngitis 77.6 76.6 -0.9<br />

Appropriate Testing for Children With Upper Respiratory Infection 85.1 83.7 -1.4<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 38.8 38.1 -0.7<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 43.4 43.3 -0.1<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 1.6 2.9 1.4<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 1.1 1.5 0.5<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 1.3 1.7 0.4<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 2.2 2.7 0.5<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 4.9 5.3 0.4<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 12.8 13.0 0.2<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 76.3 72.8 -3.6<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 71.6 67.8 -3.8<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 42.7 39.2 -3.5<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 12–24 Months 97.5 96.9 -0.6<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 25 Months–6 years 91.2 89.1 -2.1<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 7–11 years 91.6 89.4 -2.2<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Adolescents 12–19 years 89.2 86.8 -2.4<br />

*Lower rates signify better performance.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 11: HMoS VS. PPoS, MEDICARE PlANS<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

HMos vs. PPos: MEdICarE avEragEs—2010<br />

MEASURE HMo PPo DIffERENCE<br />

safety <strong>and</strong> Potential Waste<br />

Ambulatory Care—ED Visits per 1,000 Member Months 450.3 379 -71.2<br />

Wellness <strong>and</strong> Prevention<br />

breast Cancer Screening 68.5 65.8 -2.7<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 83.1 82.5 -0.6<br />

Disease Modifying Anti-Rheumatic Drug Therapy in Rheumatoid Arthritis 72.8 77.8 5.1<br />

Use <strong>of</strong> Spirometry Testing in <strong>the</strong> Assessment <strong>and</strong> Diagnosis <strong>of</strong> CoPD 33.9 35.3 1.4<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—bronchodilators 78.2 76.1 -2.2<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—Systemic Corticosteroids 66.6 69.6 3.0<br />

Annual Monitoring for Patients on Persistent Medications—ACE Inhibitors or ARbs 90.7 90.8 0.1<br />

Annual Monitoring for Patients on Persistent Medications—Anticonvulsants 68.2 69.1 0.9<br />

Annual Monitoring for Patients on Persistent Medications—Digoxin 93.1 92.7 -0.5<br />

Annual Monitoring for Patients on Persistent Medications—Diuretics 90.9 91.2 0.4<br />

Annual Monitoring for Patients on Persistent Medications—Combined 90.2 90.6 0.5<br />

Antidepressant Medication Management—Acute Phase 65.0 67.4 2.4<br />

Antidepressant Medication Management—Continuation Phase 51.9 55.7 3.8<br />

follow-Up After Hospitalization for Mental Illness—Within 7 Days Post-Discharge 37.4 39.1 1.6<br />

follow-Up After Hospitalization for Mental Illness—Within 30 Days Post-Discharge 55.4 61.2 5.8<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 3.7 4.8 1.0<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 44.6 57.4 12.8<br />

Measures targeted toward older adults<br />

fall Risk Management—Discussion 32.8 31.1 -1.8<br />

fall Risk Management—Management 60.1 55.3 -4.8<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Chronic Renal failure <strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Dementia <strong>and</strong> Tricyclic Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

falls <strong>and</strong> Tricyclic Antidepressants, Antipsychotics <strong>and</strong> Sleep Agents*<br />

11.6 11.7 0.1<br />

28.7 27.3 -1.4<br />

17.1 16.3 -0.9<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* 23.3 21.8 -1.4<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* 22.1 21.9 -0.2<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* 5.1 5.1 -0.1<br />

Management <strong>of</strong> Urinary Incontinence—Discussion 58.2 57.9 -0.4<br />

Management <strong>of</strong> Urinary Incontinence—Treatment 36.0 36.3 0.4<br />

Physical Activity in older Adults—Advice 47.9 47.6 -0.3<br />

167


168<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

HMos vs. PPos: MEdICarE avEragEs—2010<br />

MEASURE HMo PPo DIffERENCE<br />

Physical Activity in older Adults—Discussion 52.3 53.9 1.5<br />

osteoporosis Testing in older Women 68.5 73.4 4.9<br />

osteoporosis Management in Women Who Had a fracture 20.7 18.5 -2.2<br />

Glaucoma Screening in older Adults 63.8 65.1 1.3<br />

*Lower rates signify better performance.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 12: HMoS VS. PPoS, CoMMERCIAl PlANS<br />

CaHPs MEMbEr satIsfaCtIon MEasurEs<br />

HMos vs. PPos: CoMMErCIal avEragEs—2010<br />

MEASURE HMo PPo DIffERENCE<br />

Consumer <strong>and</strong> Patient Engagement <strong>and</strong> Experience<br />

Rating <strong>of</strong> Health Plan—Rating <strong>of</strong> 8, 9 or 10 64.2 58.6 -5.6<br />

Rating <strong>of</strong> Health Plan—Rating <strong>of</strong> 9 or 10 40.3 33.7 -6.6<br />

Rating <strong>of</strong> Health Care—Rating <strong>of</strong> 8, 9 or 10 76.6 75.6 -1.0<br />

Rating <strong>of</strong> Health Care—Rating <strong>of</strong> 9 or 10 50.7 48.1 -2.6<br />

Getting Needed Care—Usually or Always 86.2 86.6 0.4<br />

Getting Needed Care—Always 53.9 53.9 0.0<br />

Getting Care Quickly—Usually or Always 86.5 87.1 0.7<br />

Getting Care Quickly—Always 58.2 57.7 -0.5<br />

How Well Doctors Communicate—Usually or Always 93.9 94.6 0.7<br />

How Well Doctors Communicate—Always 73.5 73.5 0.0<br />

Rating <strong>of</strong> Personal Doctor—Rating <strong>of</strong> 8, 9 or 10 83.2 82.8 -0.4<br />

Rating <strong>of</strong> Personal Doctor—Rating <strong>of</strong> 9 or 10 65.0 62.8 -2.2<br />

Rating <strong>of</strong> Specialist—Rating <strong>of</strong> 8, 9 or 10 82.3 81.6 -0.7<br />

Rating <strong>of</strong> Specialist—Rating <strong>of</strong> 9 or 10 64.1 61.9 -2.2<br />

Customer Service—Usually or Always 84.5 83.0 -1.4<br />

Customer Service—Always 59.4 55.5 -3.9<br />

Claims Processing—Usually or Always 88.6 87.8 -0.8<br />

Claims Processing—Always 55.5 50.7 -4.7<br />

169


170<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

APPENDIx 13: HMoS VS. PPoS, MEDICARE PlANS<br />

CaHPs MEMbEr satIsfaCtIon MEasurEs<br />

HMos vs. PPos: MEdICarE avEragEs—2010<br />

MEASURE HMo PPo DIffERENCE<br />

Consumer <strong>and</strong> Patient Engagement <strong>and</strong> Experience<br />

Information not available for <strong>the</strong> October 2011 pre-publication edition <strong>of</strong> this report. Information will appear in <strong>the</strong> November 2011 final edition.


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 14A: VARIATIoN IN PlAN PERfoRMANCE: THE 90TH<br />

PERCENTIlE VS. THE 10TH PERCENTIlE: CoMMERCIAl HMoS<br />

MEASURE<br />

safety <strong>and</strong> Potential Waste<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

CoMMErCIal HMo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Imaging Studies for low back Pain 82.0 66.4 15.6<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 31.6 15.0 16.6<br />

Ambulatory Care—ED Visits per 1,000 Member Months 231.8 139.9 91.8<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 76.9 1.2 75.7<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

85.2 67.2 18.0<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

59.0 33.6 25.4<br />

63.2 42.6 20.5<br />

flu Shots for Adults 62.4 43.9 18.6<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 97.8 81.3 16.5<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit between 21 <strong>and</strong> 56 Days After Delivery 90.7 66.7 24.0<br />

breast Cancer Screening 79.5 63.3 16.2<br />

Cervical Cancer Screening 83.2 71.0 12.2<br />

Colorectal Cancer Screening 74.2 48.9 25.3<br />

Chlamydia Screening in Women—16–20 years 53.9 29.3 24.5<br />

Chlamydia Screening in Women—21–24 years 61.4 32.6 28.9<br />

Chlamydia Screening in Women—Total Rate 56.7 30.6 26.1<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 87.5 64.1 23.4<br />

Comprehensive Diabetes Care—blood Pressure Control (


172<br />

MEASURE<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

CoMMErCIal HMo statIstICs—2010<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Cholesterol Screening<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Control (


MEASURE<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

CoMMErCIal HMo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Childhood Immunization Status—Hepatitis A 54.6 20.0 34.6<br />

Childhood Immunization Status—Rotavirus 78.8 47.0 31.8<br />

Childhood Immunization Status—Influenza 70.1 41.8 28.2<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

30.9 8.3 22.6<br />

Immunizations for Adolescents—Meningococcal 77.7 35.9 41.7<br />

Immunizations for Adolescents—Tdap/Td 91.9 46.1 45.8<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 75.2 30.6 44.6<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 49.0 30.7 18.4<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 55.6 31.3 24.3<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI Percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

75.9 0.2 75.7<br />

74.1 0.2 73.9<br />

70.1 0.0 70.1<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 3.6 0.0 3.6<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 2.0 0.0 2.0<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 2.5 0.0 2.5<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 3.9 0.4 3.5<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 8.3 1.9 6.4<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 21.7 5.9 15.9<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 89.6 61.1 28.6<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 84.5 56.9 27.7<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 60.2 28.5 31.7<br />

Children <strong>and</strong> Adolescents' Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 7–11 years<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

*Lower rates signify better performance.<br />

173<br />

99.4 95.4 4.0<br />

95.7 86.2 9.4<br />

96.7 86.8 9.9<br />

95.1 83.5 11.6


174<br />

APPENDIx 14b: VARIATIoN IN PlAN PERfoRMANCE: THE 90TH<br />

PERCENTIlE VS. THE 10TH PERCENTIlE: CoMMERCIAl PPoS<br />

MEASURE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

CoMMErCIal PPo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Imaging Studies for low back Pain 80.6 65.4 15.2<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 27.1 15.9 11.2<br />

Ambulatory Care—ED Visits per 1,000 Member Months 208.8 133.3 75.6<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 47.3 0.8 46.5<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

79.8 65.3 14.5<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

47.0 32.6 14.4<br />

55.6 38.8 16.7<br />

flu Shots for Adults 57.9 45.3 12.6<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 96.0 41.6 54.4<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit between 21 <strong>and</strong> 56 Days After Delivery 87.1 36.2 50.9<br />

breast Cancer Screening 72.5 62.2 10.3<br />

Cervical Cancer Screening 79.0 69.2 9.8<br />

Colorectal Cancer Screening 55.3 41.1 14.2<br />

Chlamydia Screening in Women—16–20 years 48.2 29.5 18.7<br />

Chlamydia Screening in Women—21–24 years 55.2 30.6 24.6<br />

Chlamydia Screening in Women—Total Rate 51.0 29.9 21.0<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 79.9 62.3 17.6<br />

Comprehensive Diabetes Care—blood Pressure Control (


MEASURE<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

CoMMErCIal PPo statIstICs—2010<br />

Cholesterol Management for Patients With Cardiovascular Conditions—<br />

lDl Control (


176<br />

MEASURE<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

CoMMErCIal PPo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Childhood Immunization Status—Rotavirus 70.6 33.6 37.0<br />

Childhood Immunization Status—Influenza 65.2 35.4 29.8<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

19.9 3.3 16.5<br />

Immunizations for Adolescents—Meningococcal 63.7 26.6 37.1<br />

Immunizations for Adolescents—Tdap/Td 77.0 37.6 39.4<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 58.4 24.5 33.8<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 44.9 31.7 13.2<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 52.7 34.4 18.3<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI Percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

46.3 0.1 46.2<br />

54.3 0.2 54.0<br />

48.2 0.0 48.2<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 5.3 0.9 4.3<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 2.6 0.5 2.0<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 2.8 0.7 2.1<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 4.3 1.3 3.0<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 7.5 2.7 4.9<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 18.1 7.8 10.3<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 82.7 60.1 22.6<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 82.5 51.9 30.6<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 57.7 24.4 33.2<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

98.7 94.8 3.9<br />

94.3 83.1 11.2<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 7–11 years 95.4 81.6 13.8<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

*Lower rates signify better performance.<br />

93.7 80.4 13.3


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

APPENDIx 15: VARIATIoN IN PlAN PERfoRMANCE: THE 90TH<br />

PERCENTIlE VS. THE 10TH PERCENTIlE: MEDICAID HMoS<br />

MEASURE<br />

safety <strong>and</strong> Potential Waste<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

MEdICaId HMo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Imaging Studies for low back Pain 82.3 67.0 15.2<br />

Avoidance <strong>of</strong> Antibiotic Treatment in Adults With Acute bronchitis 31.6 15.1 16.5<br />

Ambulatory Care—ED Visits per 1,000 Member Months 76.6 44.4 32.2<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 70.5 3.2 67.2<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Advising Smokers <strong>and</strong> Tobacco Users to Quit<br />

80.8 64.7 16.1<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Strategies<br />

Medical Assistance With Smoking <strong>and</strong> Tobacco Use Cessation—<br />

Discussing Cessation Medications<br />

48.5 30.0 18.4<br />

55.0 30.2 24.7<br />

Prenatal <strong>and</strong> Postpartum Care—Timeliness <strong>of</strong> Prenatal Care 93.3 71.4 21.9<br />

Prenatal <strong>and</strong> Postpartum Care—Postpartum Visit between 21 <strong>and</strong> 56 Days After Delivery 75.2 53.7 21.5<br />

breast Cancer Screening 62.9 38.7 24.3<br />

Cervical Cancer Screening 78.7 53.0 25.6<br />

Chlamydia Screening in Women—16–20 years 66.7 42.9 23.8<br />

Chlamydia Screening in Women—21–24 years 72.2 50.5 21.6<br />

Chlamydia Screening in Women—Total Rate 69.1 46.0 23.0<br />

Chronic disease Management<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 88.6 61.0 27.5<br />

Comprehensive Diabetes Care—blood Pressure Control (


178<br />

MEASURE<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

MEdICaId HMo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Disease Modifying Anti-Rheumatic Drug Therapy in Rheumatoid Arthritis 83.2 53.3 29.8<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—5–11 years 96.0 87.5 8.5<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—12–50 years 91.3 79.8 11.4<br />

Use <strong>of</strong> Appropriate Medications for People With Asthma—overall Rate 93.2 83.6 9.6<br />

Use <strong>of</strong> Spirometry Testing in <strong>the</strong> Assessment <strong>and</strong> Diagnosis <strong>of</strong> CoPD 47.2 19.1 28.0<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—bronchodilators 89.3 71.1 18.2<br />

Pharmaco<strong>the</strong>rapy Management <strong>of</strong> CoPD—Systemic Corticosteroids 76.8 46.5 30.3<br />

Annual Monitoring for Patients on Persistent Medications—ACE Inhibitors or ARbs 90.6 79.9 10.7<br />

Annual Monitoring for Patients on Persistent Medications—Anticonvulsants 76.6 57.6 19.0<br />

Annual Monitoring for Patients on Persistent Medications—Digoxin 95.5 80.4 15.1<br />

Annual Monitoring for Patients on Persistent Medications—Diuretics 90.7 79.3 11.3<br />

Annual Monitoring for Patients on Persistent Medications—Combined 88.1 78.3 9.9<br />

Antidepressant Medication Management—Acute Phase 59.9 43.0 16.9<br />

Antidepressant Medication Management—Continuation Phase 44.2 25.7 18.5<br />

follow-Up After Hospitalization for Mental Illness—Within 7 Days Post-Discharge 68.3 23.0 45.3<br />

follow-Up After Hospitalization for Mental Illness—Within 30 Days Post-Discharge 82.6 36.0 46.6<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 25.9 2.0 23.9<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 60.7 30.0 30.7<br />

Measures targeted toward Children <strong>and</strong> adolescents<br />

Appropriate Testing for Children With Pharyngitis 83.0 45.1 37.9<br />

Appropriate Testing for Children With Upper Respiratory Infection 94.8 79.2 15.6<br />

Childhood Immunization Status—DTaP/DT 88.5 70.8 17.7<br />

Childhood Immunization Status—Hepatitis b 95.9 82.9 13.0<br />

Childhood Immunization Status—Hib 96.1 84.3 11.8<br />

Childhood Immunization Status—IPV 95.9 85.6 10.2<br />

Childhood Immunization Status—MMR 95.4 86.1 9.3<br />

Childhood Immunization Status—Pneumococcal Conjugate (PCV) 88.8 68.8 20.0<br />

Childhood Immunization Status—VzV 95.1 85.4 9.7<br />

Childhood Immunization Status—Combination 2<br />

(DTaP, IPV, MMR, Hib, Hepatitis b <strong>and</strong> VzV)<br />

Childhood Immunization Status—Combination 3<br />

(DTaP, IPV, MMR, Hib, Hepatitis b, VzV <strong>and</strong> PCV)<br />

85.8 62.3 23.6<br />

82.6 56.8 25.8<br />

Childhood Immunization Status—Hepatitis A 48.7 24.3 24.4<br />

Childhood Immunization Status—Rotavirus 72.2 43.6 28.7<br />

Childhood Immunization Status—Influenza 60.3 22.0 38.3


MEASURE<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

MEdICaId HMo statIstICs—2010<br />

Childhood Immunization Status—Combination 10 (DTaP, IPV, MMR,<br />

Hib, Hepatitis A, Hepatitis b, VzV, PCV, Rotavirus <strong>and</strong> Influenza)<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

23.6 6.3 17.3<br />

Immunizations for Adolescents—Meningococcal 79.7 38.0 41.7<br />

Immunizations for Adolescents—Tdap/Td 87.8 45.3 42.5<br />

Immunizations for Adolescents—Combination 1 (Meningococcal, Tdap/Td) 75.5 33.8 41.7<br />

follow-Up Care for Children Prescribed ADHD Medication—Initiation 50.7 24.9 25.8<br />

follow-Up Care for Children Prescribed ADHD Medication—Continuation 62.5 23.0 39.5<br />

lead Screening in Children 87.6 34.6 53.0<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—bMI Percentile (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Nutrition (overall)<br />

Weight Assessment <strong>and</strong> Counseling for Nutrition <strong>and</strong> Physical Activity<br />

in Children <strong>and</strong> Adolescents—Counseling for Physical Activity (overall)<br />

69.8 0.7 69.1<br />

72.0 0.7 71.3<br />

60.6 0.0 60.5<br />

frequency <strong>of</strong> Prenatal Care Visits—80% <strong>of</strong> Expected Visits 81.8 34.7 47.1<br />

Well-Child Visits: Ages 0–15 Months—No Well-Child Visits 4.4 0.5 3.9<br />

Well-Child Visits: Ages 0–15 Months—one Well-Child Visit 4.1 0.7 3.4<br />

Well-Child Visits: Ages 0–15 Months—Two Well-Child Visits 6.1 1.1 5.0<br />

Well-Child Visits: Ages 0–15 Months—Three Well-Child Visits 9.3 2.7 6.6<br />

Well-Child Visits: Ages 0–15 Months—four Well-Child Visits 15.6 5.3 10.3<br />

Well-Child Visits: Ages 0–15 Months—five Well-Child Visits 21.9 8.3 13.6<br />

Well-Child Visits: Ages 0–15 Months—Six or More Well-Child Visits 77.1 41.9 35.2<br />

Well-Child Visits: Ages 3–6 years—one or More Well-Child Visits 82.9 60.9 22.0<br />

Adolescent Well-Care Visits—At least one Comprehensive Well-Care Visit 64.1 35.0 29.1<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 12–24 Months<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Children 25 Months–6 years<br />

98.6 92.6 6.0<br />

92.7 82.0 10.7<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—Children 7–11 years 94.7 85.2 9.5<br />

Children <strong>and</strong> Adolescents’ Access to Primary Care Practitioners—<br />

Adolescents 12–19 years<br />

*Lower rates signify better performance.<br />

179<br />

93.4 81.1 12.4


180<br />

APPENDIx 16A: VARIATIoN IN PlAN PERfoRMANCE: THE<br />

90TH PERCENTIlE VS. THE 10TH PERCENTIlE: MEDICARE HMoS<br />

MEASURE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

MEdICarE HMo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Ambulatory Care—ED Visits per 1,000 Member Months 782.1 248.3 533.8<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 80.2 16.8 63.4<br />

breast Cancer Screening 80.9 55.5 25.4<br />

Colorectal Cancer Screening<br />

Chronic disease Management<br />

75.6 40.0 35.5<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 91.6 72.4 19.2<br />

Comprehensive Diabetes Care—blood Pressure Control (


MEASURE<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

MEdICarE HMo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 7.9 0.4 7.5<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 63.3 25.0 38.3<br />

Measures targeted toward older adults<br />

fall Risk Management—Discussion 44.4 25.8 18.7<br />

fall Risk Management—Management 69.8 51.6 18.2<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Chronic Renal failure <strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Dementia <strong>and</strong> Tricyclic Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

falls <strong>and</strong> Tricyclic Antidepressants, Antipsychotics <strong>and</strong> Sleep Agents*<br />

5.0 23.0 -18.0<br />

18.8 41.3 -22.5<br />

11.9 23.4 -11.5<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* 15.8 32.4 -16.6<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* 13.2 33.1 -19.8<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* 1.6 9.8 -8.1<br />

Management <strong>of</strong> Urinary Incontinence—Discussion 64.3 50.9 13.4<br />

Management <strong>of</strong> Urinary Incontinence—Treatment 41.1 30.7 10.3<br />

Physical Activity in older Adults—Advice 54.5 41.7 12.8<br />

Physical Activity in older Adults—Discussion 60.3 44.7 15.6<br />

osteoporosis Testing in older Women 80.6 54.4 26.2<br />

osteoporosis Management in Women Who Had a fracture 29.8 12.0 17.9<br />

Glaucoma Screening in older Adults 77.9 48.0 29.9<br />

*Lower rates signify better performance.<br />

181


182<br />

APPENDIx 16b: VARIATIoN IN PlAN PERfoRMANCE: THE<br />

90TH PERCENTIlE VS. THE 10TH PERCENTIlE: MEDICARE PPoS<br />

MEASURE<br />

safety <strong>and</strong> Potential Waste<br />

N AT I o N A l C o M M I T T E E f o R Q U A l I T y A S S U R A N C E<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

MEdICarE PPo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Ambulatory Care—ED Visits per 1,000 Member Months 506.7 266.8 239.9<br />

Wellness <strong>and</strong> Prevention<br />

Adult bMI Assessment 64.0 2.8 61.2<br />

breast Cancer Screening 77.5 54.1 23.4<br />

Colorectal Cancer Screening<br />

Chronic disease Management<br />

53.4 31.1 22.3<br />

Persistence <strong>of</strong> beta-blocker Treatment After a Heart Attack 89.9 72.1 17.8<br />

Comprehensive Diabetes Care—blood Pressure Control (


MEASURE<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A P P E N D I C E S<br />

HEdIs EffECtIvEnEss <strong>of</strong> CarE MEasurEs<br />

MEdICarE PPo statIstICs—2010<br />

90TH<br />

PERCENTIlE<br />

10TH<br />

PERCENTIlE DIffERENCE<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Engagement 8.7 1.3 7.4<br />

Alcohol <strong>and</strong> o<strong>the</strong>r Drug Dependence Treatment—Initiation 80.7 35.5 45.2<br />

Measures targeted toward older adults<br />

fall Risk Management—Discussion 39.9 25.2 14.6<br />

fall Risk Management—Management 65.9 46.6 19.3<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Chronic Renal failure <strong>and</strong> NSAIDS or Cox-2 Selective NSAIDS*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

Dementia <strong>and</strong> Tricyclic Antidepressants or Anticholinergic Agents*<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—<br />

falls <strong>and</strong> Tricyclic Antidepressants, Antipsychotics <strong>and</strong> Sleep Agents*<br />

4.3 20.0 -15.7<br />

17.7 38.3 -20.5<br />

10.5 22.2 -11.7<br />

Potentially Harmful Drug-Disease Interactions in <strong>the</strong> Elderly—overall Rate* 15.0 29.8 -14.8<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least one Medication* 14.9 30.4 -15.5<br />

Use <strong>of</strong> High-Risk Medications in <strong>the</strong> Elderly—At least Two Medications* 1.9 8.4 -6.5<br />

Management <strong>of</strong> Urinary Incontinence—Discussion 65.6 51.5 14.1<br />

Management <strong>of</strong> Urinary Incontinence—Treatment 42.1 31.1 10.9<br />

Physical Activity in older Adults—Advice 52.7 41.6 11.1<br />

Physical Activity in older Adults—Discussion 59.6 47.1 12.5<br />

osteoporosis Testing in older Women 82.8 62.0 20.8<br />

osteoporosis Management in Women Who Had a fracture 25.7 10.3 15.5<br />

Glaucoma Screening in older Adults 76.1 53.8 22.3<br />

*Lower rates signify better performance.<br />

183


184<br />

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7. Global Initiative for chronic obstructive lung disease. 2010. Global strategy for <strong>the</strong> diagnosis, management, <strong>and</strong> prevention <strong>of</strong> CoPD.<br />

www.goldcopd.com (May 27, 2011)<br />

annual MonItorIng for PatIEnts on PErsIstEnt MEdICatIons<br />

1. Center for Disease Control <strong>and</strong> Prevention. 2008. Medication Safety Basics. http://www.cdc.gov/MedicationSafety/basics.html (June 1, 2011)<br />

2. Avorn, J., 2010. Medication Use in older Patients: better Policy Could Encourage better Practice. JAMA 304(14):1606–7.<br />

3. budnitz, D., et al., 2006. National surveillance <strong>of</strong> emergency department visits for outpatient adverse drug events. JAMA 296:1858–66.<br />

4. U.S. food <strong>and</strong> Drug Administration. 2010. Safe Use Initiative Fact Sheet. http://www.fda.gov/Drugs/DrugSafety/ucm188760.htm (June<br />

1, 2011)<br />

5. Slone Epidemiology Center at boston University. 2006. Patterns <strong>of</strong> medication use in <strong>the</strong> United States. http://www.bu.edu/slone/<br />

SloneSurvey/AnnualRpt/SloneSurveyWebReport2006.pdf (June 1, 2011)<br />

6. Classen D.C., et al., 2010. Adverse drug events among hospitalized Medicare patients: Epidemiology <strong>and</strong> national estimates from a new<br />

approach to surveillance. Jt Comm J Qual Patient Saf 36:12–21.<br />

7. Hohl, C.M., b. Nosyk, l. kuramoto, et al., 2011. outcomes <strong>of</strong> emergency department patients presenting with adverse drug events. Ann<br />

Emerg Med DoI:10.1016/j.annemergmed.2011.01.003<br />

antIdEPrEssant MEdICatIon ManagEMEnt<br />

1. The National Alliance on Mental Illness. 2009. Major Depression Fact Sheet. http://www.nami.org/Template.cfm?Section=Depression&Te<br />

mplate=/ContentManagement/ContentDisplay.cfm&ContentID=88956 (May 31, 2011)<br />

2. Department <strong>of</strong> Veteran Affairs, Department <strong>of</strong> Defense. 2009. VA/DoD clinical practice guideline for management <strong>of</strong> major depressive<br />

disorder (MDD). http://www.healthquality.va.gov/MDD_fUll_3c.pdf (May 31, 2011)<br />

3. Institute for Clinical Systems <strong>Improvement</strong> (ICSI). 2010. Major depression in adults in primary care. http://www.guideline.gov/content.as<br />

px?id=23857&search=major+depression (May 31, 2011)<br />

4. McIntyre, R.S., S. liauw, V.H. Taylor. 2011. Depression in <strong>the</strong> workforce: <strong>the</strong> intermediary effect <strong>of</strong> medical comorbidity. Journal <strong>of</strong><br />

Affective Disorders. 128(1):S29–S36.<br />

5. Smith, J.P., G.C. Smith. 2010. long-term economic costs <strong>of</strong> psychological problems during childhood. Social Science <strong>and</strong> Medicine.<br />

71(1):110–15.<br />

6. Johnston, k., W. Westerfield, S. Momim, R. Phillipi. 2009. The direct <strong>and</strong> indirect costs <strong>of</strong> employee depression, anxiety, <strong>and</strong> emotional<br />

disorders—An employer case study. J <strong>of</strong> Occ <strong>and</strong> Envt Med. 51(5):564–77.<br />

7. birnbaum, H.G., kessler, R.C., kelley, D., ben-Hamadi, R., Joish, V.N., Greenberg, P.E. 2010. Employer burden <strong>of</strong> mild, moderate, <strong>and</strong><br />

severe major depressive disorder: mental health services utilization <strong>and</strong> costs, <strong>and</strong> work performance. Depression <strong>and</strong> Anxiety. 27(1):78–89.<br />

8. Wang, J., N. Schmitz N. 2010. Does job strain interact with psychosocial factors outside <strong>of</strong> <strong>the</strong> workplace in relation to <strong>the</strong> risk <strong>of</strong> major<br />

depression? The Canadian National Population Health Survey. Soc. Psychiatry. [Epub ahead <strong>of</strong> print].<br />

9. American Psychiatric Association. 2010 Practice guideline for <strong>the</strong> treatment <strong>of</strong> patients with major depressive disorder. Third edition.<br />

http://www.guideline.gov/content.aspx?id=24158 (May 31, 2011)<br />

10. lauber, C., J.l. bowen. 2010. low mood <strong>and</strong> employment: when affective disorders are intertwined with <strong>the</strong> workplace—a Uk<br />

perspective. Int. Rev. Psychiatry. 22(2):173–82.<br />

11. Hunot, V.M., R. Horne, M.N. leese, R.C. Churchill. 2007. A cohort study <strong>of</strong> adherence to antidepressants in primary care: <strong>the</strong> influence <strong>of</strong><br />

antidepressant concerns <strong>and</strong> treatment preferences. Prim Care Companion J Clin Psychiatry. 9:91–9.


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folloW-uP aftEr HosPItalIZatIon for MEntal IllnEss<br />

1. kessler R.C., W.T. Chiu, o. Demler, E.E. Walters. 2005. Prevalence, severity, <strong>and</strong> comorbidity <strong>of</strong> twelve-month DSM-IV disorders in <strong>the</strong><br />

National Comorbidity Survey Replication (NCS-R). Arch Gen Psychiatry 62(6):617–27.<br />

2. The Substance Abuse <strong>and</strong> Mental Health Services Administration. 2008. Serious Mental Illness Among Adults http://oas.samhsa.<br />

gov/2k2/SMI/SMI.cfm (June 10, 2011)<br />

3. Mental Health: A Report <strong>of</strong> <strong>the</strong> Surgeon General Chapter 1: Introduction <strong>and</strong> Themes. http://www.surgeongeneral.gov/library/<br />

mentalhealth/chapter1/sec1.html (June 10, 2011)<br />

4. National Alliance on Mental Illness. 2011. What is Mental Illness: Mental Illness Facts. http://www.nami.org/template.<br />

cfm?section=about_mental_illness (June 10, 2011)<br />

5. larkin, G.l., R.P. Smith, A.l. beautrais. 2008. Trends in U.S. emergency department visits for suicide attempts, 1992–2001. Crisis 29(2):73–80.<br />

6. Cougnard, A., M. Parrot, S. Grolleau, E. kalmi, A. Desage, D. Misdarhi, et al. 2006. Pattern <strong>of</strong> health service utilization <strong>and</strong> predictors <strong>of</strong><br />

readmission after a first admission for psychosis: a 2-year-follow-up study. Acta Psychiatr Sc<strong>and</strong> 113(4):340–9.<br />

7. Insel, Thomas R. 2008. Assessing <strong>the</strong> Economic Costs <strong>of</strong> Serious Mental Illness. The Am J Psychiat http://ajp.psychiatryonline.org/cgi/<br />

reprint/165/6/663 (June 10, 2011)<br />

8. National Alliance on Mental Illness. 2011. The Impact <strong>and</strong> Cost <strong>of</strong> Mental Illness: The Case <strong>of</strong> Depression. http://www.nami.org/<br />

Template.cfm?Section=Policymakers_Toolkit&Template=/ContentManagement/ContentDisplay.cfm&ContentID=19043 (June 10, 2011)<br />

9. Substance Abuse <strong>and</strong> Mental Health Services Administration, <strong>of</strong>fice <strong>of</strong> Applied Studies. 2008. Results from <strong>the</strong> 2008 National Survey on<br />

Drug Use <strong>and</strong> Health: National Finding. NSDUH Series H-34, DHHS Publication No. SMA 08-4343. Rockville, MD.<br />

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10. Defrances, C.J., M.J. Hall. 2007. National Hospital Discharge Survey. Advance data from vital <strong>and</strong> health statistics. No. 385. http://<br />

www.cdc.gov/nchs/data/ad/ad385.pdf (June 10, 2011)<br />

InItIatIon <strong>and</strong> EngagEMEnt <strong>of</strong> alCoHol <strong>and</strong> otHEr drug dEPEndEnCE trEatMEnt<br />

1. Substance Abuse <strong>and</strong> Mental Health Services Administration (SAMHSA). 2009. Results from <strong>the</strong> 2009 National Survey on Drug Use <strong>and</strong><br />

Health. http://oas.samhsa.gov/NSDUH/2k9NSDUH/2k9Results.htm (June 10, 2011)<br />

2. National Institute on Drug Abuse (NIDA). 2011. NIDA InfoFacts: Nationwide Trends. http://www.drugabuse.gov/pdf/inf<strong>of</strong>acts/<br />

NationTrends.pdf (June 10, 2011)<br />

3. frederic, C.b., S.J. bartels, l.M. brockmann, A.D. Van Citters. 2010. Evidence-Based Practices for Preventing Substance Abuse <strong>and</strong><br />

Mental Health Problems in Older Adults. Excerpt: Prevention <strong>of</strong> Substance Misuse Problems: Alcohol Misuse. www.public-health.uiowa.<br />

edu/icmha/.../Evidence-basedCareforAlcohol.DoC (June 10, 2011)<br />

4. National Institute on Drug Abuse. 2010. Monitoring <strong>the</strong> Future: National results on adolescent drug use. http://monitoring<strong>the</strong>future.org/<br />

pubs/monographs/mtf-overview2010.pdf<br />

5. keyes, k.M., M.l. Hatzenbuehler, k.A. Mclaughlin, b. link, M. olfson, b.f. Grant. 2010. Stigma <strong>and</strong> Treatment for Alcohol Disorders in<br />

<strong>the</strong> United States. American Journal <strong>of</strong> Epidemiology 172 (12): 1364–72.<br />

6. National Institute on Drug Abuse. 2010. Comorbidity: Addiction <strong>and</strong> O<strong>the</strong>r Mental Illnesses. http://www.drugabuse.gov/PDf/<br />

RRComorbidity.pdf (June 10, 2010)<br />

7. Substance Abuse <strong>and</strong> Mental Health Services Administration (SAMHSA). 2006. Report to Congress: Addictions Treatment Workforce<br />

Development. http://www.pfr.samhsa.gov/docs/Report_to_Congress.pdf (June 10, 2010)<br />

aPProPrIatE tEstIng for CHIldrEn WItH PHaryngItIs<br />

1. Wisconsin Department <strong>of</strong> Health Services. 2010. Disease Fact Sheet Series: Streptococcal Pharyngitis. http://www.dhs.wisconsin.gov/<br />

communicable/factSheets/StreptococcalPharyngitis.htm (May 31, 2011)<br />

2. Huhtala, T.A. 2011. Updates on Sinusitis, Pharyngitis <strong>and</strong> UTI. february 27–March 4, Salt lake City, Utah.<br />

3. Wessels, M.R. 2011. Streptococcal Pharyngitis. New Engl<strong>and</strong> Journal <strong>of</strong> Medicine 364: 648–55.<br />

4. Gerber, M.A., R.S. baltimore, C.b. Eaton, M. Gewitz, A.H. Rowley, S.T. Shulman, k.A. Taubert. 2009. Prevention <strong>of</strong> Rheumatic fever <strong>and</strong><br />

Diagnosis <strong>and</strong> Treatment <strong>of</strong> Acute Streptococcal Pharyngitis: A Scientific Statement from <strong>the</strong> American Heart Association Rheumatic fever,<br />

Endocarditis, <strong>and</strong> kawasaki Disease Committee <strong>of</strong> <strong>the</strong> Council on Cardiovascular Disease in <strong>the</strong> young, <strong>the</strong> Interdisciplinary Council on<br />

functional Genomics <strong>and</strong> Translational biology, <strong>and</strong> <strong>the</strong> Interdisciplinary Council on <strong>Quality</strong> <strong>of</strong> Care <strong>and</strong> outcomes Research: Endorsed<br />

by <strong>the</strong> American Academy <strong>of</strong> Pediatrics. Circulation 119: 1541–51.<br />

5. lee, G.M., J.A. Salomon, C. Gay, J.k. Hammitt. 2010. Preferences for health outcomes associated with Group A Streptococcal disease<br />

<strong>and</strong> vaccination. Health <strong>and</strong> <strong>Quality</strong> <strong>of</strong> Life Outcomes 8:28.<br />

6. Undel<strong>and</strong>, D.k., T.J. kowalski, W.l. berth, J.D. Gundrum. 2010. Appropriately Prescribing Antibiotics for Patients with Pharyngitis: A<br />

Physician-based Approach vs a Nurse-only Triage <strong>and</strong> Treatment Algorithm. Mayo Clin Proc 85(11): 1011–15.<br />

7. Pfoh, E., M.R. Wessels, D. Goldmann, G.M. lee. 2008. burden <strong>and</strong> Economic Cost <strong>of</strong> Group A Streptococcal Pharyngitis. Pediatrics<br />

121(2): 229–34.<br />

8. Ayanruoh, S., M. Waseem, frances Quee, Alyssa Humphrey, Toussaint Reynolds. 2009. Impact <strong>of</strong> Rapid Streptococcal Test on Antibiotic<br />

Use in a Pediatric Emergency Department. Pediatric Emergency Care 25(11): 748–50.<br />

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WEll-CHIld vIsIts In tHE fIrst 15 MontHs <strong>of</strong> lIfE <strong>and</strong> In tHE tHIrd, fourtH, fIftH <strong>and</strong> sIxtH yEars <strong>of</strong> lIfE<br />

1. Child Trends Data bank. 2010. Well-Child Visits. http://www.childtrendsdatabank.org/?q=node/85 (June 2011)<br />

2. brown, b., M. Weitzman, et al., The Commonwealth fund. Early Child Development in Social Context: A Chartbook.<br />

http://www.commonwealthfund.org/Content/Publications/Chartbooks/2004/Sep/Early-Child-Development-in-Social-Context--A-<br />

Chartbook.aspx (June 2011)<br />

3. National Institutes <strong>of</strong> Health Medline Plus. Well-child Visits. Updated January 17, 2011. http://www.nlm.nih.gov/medlineplus/ency/<br />

article/001928.htm (June 2011)<br />

4. Chung, P.J., T.C. lee, J.l. Morrison, M.A. Schuster. 2006. Preventive Care for Children in <strong>the</strong> United States: <strong>Quality</strong> <strong>and</strong> barriers. Annual<br />

Review <strong>of</strong> Public Health; 27: 491–515.<br />

5. National Survey <strong>of</strong> Children’s Health. NSCH 2007. Child <strong>and</strong> Adolescent Health measurement Initiative, Data Resource Center for Child<br />

<strong>and</strong> Adolescent Health. http://nschdata.org (June 2011)<br />

6. Hakim, R.b., D.S. Ronsaville. 2002. Effect <strong>of</strong> Compliance with Health Supervision Guidelines Among U.S. Infants on Emergency<br />

Department Visits. Archives <strong>of</strong> Pediatric <strong>and</strong> Adolescent Medicine; 156: 1015–20.<br />

7. Rosenberg, S.A., D. zhang, C.C. Robinson. 2008. Prevalence <strong>of</strong> Developmental Delays <strong>and</strong> participation in Early Intervention Services for<br />

young Children. Pediatrics; 121(6): e1503–e1509.<br />

8. Sice, l. The Commonwealth fund. 2007. Developmental Screening in Primary Care: The Effectiveness <strong>of</strong> Current Practice <strong>and</strong><br />

Recommendations for <strong>Improvement</strong>. http://www.commonwealthfund.org/usr_doc/1082_Sices_developmental_screening_primary_care.<br />

pdf?section=4039 (June 2011)<br />

9. Honeycutt, A.A., S.D. Grosse, l.J. Dunlap et al. 2003. Economic Costs <strong>of</strong> Mental Retardation, Cerebral Palsy, Hearing loss, <strong>and</strong> Vision<br />

Impairment. In b.M. Altman, S.N. barnett, G.E. Hendershot, S.A. larson, eds., Using Survey Data to Study Disability: Results from <strong>the</strong><br />

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adolEsCEnt WEll-CarE vIsIts<br />

1. National <strong>Quality</strong> Measures Clearinghouse. Adolescent Well-care Visits. http://www.qualitymeasures.ahrq.gov/content.aspx?id=15051<br />

(June 2011)<br />

2. American Medical Association. Guidelines for Adolescent Preventive Services: Recommendations Monograph. http://www.ama-assn.<br />

org//resources/doc/ad-hlth/gapsmono.pdf (June 2011)<br />

3. American Academy <strong>of</strong> Pediatrics. 2008. Achieving <strong>Quality</strong> Health Services for Adolescents. Pediatrics. 121(6):1263–270.<br />

4. Centers for Disease Control <strong>and</strong> Prevention. youth Risk behavior Surveillance: Tobacco Use. http://apps.nccd.cdc.gov/youthonline/App/<br />

Default.aspx (June 2011)<br />

5. National Institutes <strong>of</strong> Health. PubMed Health: Obesity. Updated october 12, 2010. http://www.ncbi.nlm.nih.gov/pubmedhealth/<br />

PMH0004552/ (June 2011)<br />

6. American Academy <strong>of</strong> Pediatrics. Bright Futures Guidelines for Health Supervision <strong>of</strong> Infants, Children, <strong>and</strong> Adolescents, 3rd Edition.<br />

http://brightfutures.aap.org/pdfs/Preventive%20Services%20PDfs/forward%20<strong>and</strong>%20Introduction.pdf (June 2011)<br />

7. Irwin, C.E., Jr., S.H. Adams, M.J. Park, P.W. Newacheck. 2009. Preventive Care for Adolescents: few Get Visits <strong>and</strong> fewer Get Services.<br />

Pediatrics. 123(4): e565–72.<br />

8. finkelstein, E.A., P.S. Corso, T.R. Miller. 2006. Incidence <strong>and</strong> Economic Burden <strong>of</strong> Injuries in <strong>the</strong> United States. New york: oxford<br />

University Press<br />

9. Park, M.J., T.M. Macdonald, E.M. ozer, et al., 2001. Investing in Clinical Preventive Health Services for Adolescents. University <strong>of</strong><br />

California, San francisco<br />

10. Health Resources <strong>and</strong> Services Administration. Child Health USA 2010. http://www.mchb.hrsa.gov/chusa10/hstat/hsa/pages/200hsa.<br />

html (June 2011)<br />

CHIldrEn <strong>and</strong> adolEsCEnts’ aCCEss to PrIMary CarE PraCtItIonErs<br />

1. American Academy <strong>of</strong> Pediatrics. Scope <strong>of</strong> Health Care Benefits for Children From Birth Through Age 21. http://aappolicy.<br />

aappublications.org/cgi/reprint/pediatrics;117/3/979.pdf (June 2011)<br />

2. Hensley-Quinn, M., E. osius. National Academy for State Health Policy. 2008. SCHIP <strong>and</strong> Adolescents: An Overview <strong>and</strong> Opportunities<br />

for States. http://www.nashp.org/sites/default/files/shpbriefing_adolescents.pdf (June 2011)<br />

3. Starfield, b., l. Shi, J. Macinko. 2005. Contribution <strong>of</strong> Primary Care to Health Systems <strong>and</strong> Health. Milbank Quarterly. 83(3): 457–502.<br />

4. Chung, P.J., T.C. lee, J.l. Morrison, M.A. Schuster. 2006. Preventive Care for Children in <strong>the</strong> United States: <strong>Quality</strong> <strong>and</strong> barriers. Annual<br />

Review <strong>of</strong> Public Health. 27: 491–515.<br />

5. National Survey <strong>of</strong> Children’s Health (NSCH). 2007. Child <strong>and</strong> Adolescent Health Measurement Initiative, Data Resource Center for Child<br />

<strong>and</strong> Adolescent Health. http://nschdata.org (June 2011)<br />

6. Chipman, S.A., J. lan, C. Chang, D.C. Goodman. 2010. Geographic Maldistribution <strong>of</strong> Primary Care for Children. Pediatrics. 127(6): e1626.<br />

7. friedberg, M.W., P.S. Hussey, E.C. Schneider. 2010. Primary Care: A Critical Review <strong>of</strong> <strong>the</strong> Evidence on <strong>Quality</strong> <strong>and</strong> Costs <strong>of</strong> Health<br />

Care. Health Affairs. 29(5): 766–72.<br />

8. bodenheimer <strong>and</strong> fern<strong>and</strong>ez. 2005. High <strong>and</strong> Rising Health Care Costs. Part 4: Can Costs be Controlled While Preserving <strong>Quality</strong>? Ann<br />

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9. American Academy <strong>of</strong> Pediatrics. 2008. Achieving <strong>Quality</strong> Health Services for Adolescents. Pediatrics. 121(6):1263–270.<br />

10. American Academy <strong>of</strong> Pediatrics. Bright Futures Guidelines for Health Supervision <strong>of</strong> Infants, Children, <strong>and</strong> Adolescents. 3rd Edition.<br />

http://brightfutures.aap.org/pdfs/Preventive%20Services%20PDfs/forward%20<strong>and</strong>%20Introduction.pdf (June 2011)<br />

folloW-uP CarE for CHIldrEn PrEsCrIbEd adHd MEdICatIon<br />

1. Visser, S.N., R.H. bitsko, M.l. Danielson, R. Perou, S.J. blumberg. 2010. Increasing Prevalence <strong>of</strong> Parent-Reported Attention-Deficit/<br />

Hyperactivity Disorder Among Children - United States, 2003 <strong>and</strong> 2007. Morbidity <strong>and</strong> Mortality Weekly Report. 59(44):1439–43.<br />

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2. Centers for Disease Control <strong>and</strong> Prevention. 2010. Attention-Deficit / Hyperactivity Disorder (ADHD) Symptoms <strong>and</strong> Diagnosis.<br />

http://www.cdc.gov/ncbddd/adhd/diagnosis.html (June 10, 2011)<br />

3. Centers for Disease Control <strong>and</strong> Prevention. 2010. Attention-Deficit / Hyperactivity Disorder (ADHD) O<strong>the</strong>r Concerns & Conditions.<br />

http://www.cdc.gov/ncbddd/adhd/conditions.html (June 10, 2011)<br />

4. Guevara, J., P. lozano, T. Wickizer, l. Mell, H. Gephart. 2002. Psychotropic medication use in a population <strong>of</strong> children who have<br />

attention-deficit/hyperactivity disorder. Pediatrics. 109(5):733–9.<br />

5. National Institutes <strong>of</strong> Health fact Sheet. 2011. Attention Deficit Hyperactivity Disorder (ADHD). http://report.nih.gov/NIHfactsheets/<br />

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6. Pelham, W.E, E.M. foster, J.A. Robb. 2007. The economic impact <strong>of</strong> attention-deficit/hyperactivity disorder in children <strong>and</strong> adolescents. J<br />

Pediatr Psychol. 32(6):711–27.<br />

7. Matza, l.S., C. Paramore, M. Prasad. 2005. A review <strong>of</strong> <strong>the</strong> economic burden <strong>of</strong> ADHD. Cost Eff Resour Alloc. 3:5.<br />

8. brown, R.T., R.W. Amler, W.S. freeman, J.M. Perrin, M.T. Stein, H.M. feldman, k. Pierce, M.l. Wolraich. 2005. Treatment <strong>of</strong> Attention-<br />

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aPProPrIatE trEatMEnt for CHIldrEn WItH uPPEr rEsPIratory InfECtIon<br />

1. Hart, A.M. 2007. An Evidence-based Approach to <strong>the</strong> Diagnosis <strong>and</strong> Management <strong>of</strong> Acute Respiratory Infections. Journal for Nursing<br />

Practitioners 3(9): 607–11.<br />

2. lucile Packard Children’s Hospital at Stanford. 2011. Upper Respiratory Infection (URI, or Common Cold). http://www.lpch.org/<br />

DiseaseHealthInfo/Healthlibrary/respire/uricold.html (June 1, 2011)<br />

3. Wong, D.M., D.A. blumberg, l.G. lowe. 2006. Guidelines for <strong>the</strong> Use <strong>of</strong> Antibiotics in Acute Upper Respiratory Tract Infections. Am Fam<br />

Physician 74(6): 956–66.<br />

4. Centers for Disease Control <strong>and</strong> Prevention. 2011. Get Smart: know When Antibiotics Work. facts About Antibiotic Resistance. http://<br />

www.cdc.gov/getsmart/antibiotic-use/fast-facts.html#ref2 (May 26, 2011)<br />

5. ong, S., J. Nakase, G.J. Moran, D.J. karras, M.J. kuehnert, D.A. Talan. 2007. Antibiotic Use for Emergency Department Patients with<br />

Upper Respiratory Infections: Prescribing Practices, Patient Expectations, <strong>and</strong> Patient Satisfaction. Ann Emerg Med 50: 213–20.<br />

6. fendrick, A.M., A.S. Monto, b. Nightengale, M. Sarnes. 2003. The Economic burden <strong>of</strong> Non-Influenza-Related Viral Respiratory Tract<br />

Infection in <strong>the</strong> United States. Arch Intern Med 163: 487–94.<br />

7. linder, J.A. 2007. Improving Care for Acute Respiratory Infections: better Systems, Not better Microbiology. Clin Infect Dis 45(9): 1189–91.<br />

8. friedman, b., D. Schwabe-Warf, R. Goldman. 2011. Reducing inappropriate antibiotic use among children with influenza infection. Can<br />

Fam Physician 57(1): 42–4.<br />

CHIldHood IMMunIZatIon status<br />

1. Centers for Disease Control <strong>and</strong> Prevention. 2009. Vaccines & Immunizations: How Vaccines Prevent Disease. http://www.cdc.gov/<br />

vaccines/vac-gen/howvpd.htm (June 1, 2011)<br />

2. Centers for Disease Control <strong>and</strong> Prevention. 2011. Vaccines & Immunizations: Infants <strong>and</strong> Toddlers. http://www.cdc.gov/vaccines/specgrps/infants-toddlers.htm<br />

(June 1, 2011)<br />

3. Centers for Disease Control <strong>and</strong> Prevention. 2010. Vaccines & Immunizations: 10 Things You Need to Know About Immunizations. http://<br />

www.cdc.gov/vaccines/vac-gen/10-shouldknow.htm (June 6, 2011)<br />

4. Centers for Disease Control <strong>and</strong> Prevention. 2011. General Recommendations on Immunization: Recommendations <strong>of</strong> <strong>the</strong> Advisory<br />

Committee on Immunization Practices (ACIP). Morbidity <strong>and</strong> Mortality Weekly Report (MMWR). January 28, 2011. 60(RR02);1–60.<br />

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5. American Academy <strong>of</strong> Pediatrics. Children’s Health Topics: Immunizations/Vaccines. http://www.aap.org/healthtopics/immunizations.<br />

cfm (June 6, 2011)<br />

6. HealthyChildren. American Academy <strong>of</strong> Pediatrics. 2011. Safety & Prevention: Why Immunize Your Child. http://www.healthychildren.<br />

org/english/safety-prevention/immunizations/Pages/Why-Immunize-your-Child.aspx?nfstatus=401&nftoken=00000000-0000-0000-<br />

0000-000000000000&nfstatusdescription=ERRoR%3a+No+local+token (June 1, 2011)<br />

7. Immunization Action Coalition. 2010. Vaccines work! CDC statistics demonstrate dramatic declines in vaccine-preventable diseases when<br />

compared with <strong>the</strong> pre-vaccine era. http://www.immunize.org/catg.d/p4037.pdf (June 6, 2011)<br />

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8. zhou, f. Updated economic evaluation <strong>of</strong> <strong>the</strong> routine childhood immunization schedule in <strong>the</strong> United States. Presented at <strong>the</strong> 45th National<br />

Immunization Conference. Washington, DC; March 28–31, 2011.<br />

9. Centers for Disease Control <strong>and</strong> Prevention. 2011. Ten Great Public Health Achievements—United States, 2001—2010. MMWR<br />

Morbidity <strong>and</strong> Mortality Weekly Report May 20, 2011. 60(19):619-623.<br />

10. kennedy, A., M. basket, k. Sheedy. 2011. Identifying <strong>and</strong> Addressing Vaccine-Safety Concerns Among Parents: Vaccine Attitudes,<br />

Concerns, <strong>and</strong> Information Sources Reported by Parents <strong>of</strong> young Children: Results from <strong>the</strong> 2009 HealthStyles Survey. Pediatrics 2011;<br />

127 (Suppl 1):S92–S99.<br />

11. Centers for Disease Control <strong>and</strong> Prevention. 2011. Vaccines & Immunizations. Statistics <strong>and</strong> Surveillance: U.S. Vaccination Coverage<br />

Reported via NIS. http://www.cdc.gov/vaccines/stats-surv/nis/default.htm#nis (July 12, 2011)<br />

12. U.S. National library <strong>of</strong> Medicine. MedlinePlus. 2011. Childhood Immunization. http://www.nlm.nih.gov/medlineplus/<br />

childhoodimmunization.html (June 6, 2011)<br />

IMMunIZatIons for adolEsCEnts<br />

1. American Medical Association. 2008. Improving Adolescent Immunizations. http://www.ama-assn.org/resources/doc/public-health/<br />

ad_immunizations_mon.pdf (June 8, 2011)<br />

2. Centers for Disease Control <strong>and</strong> Prevention. 2011. Preteen <strong>and</strong> Teen Vaccines: For Parents. http://www.cdc.gov/vaccines/who/teens/<br />

for-parents.html (June 7, 2011)<br />

3. Centers for Disease Control <strong>and</strong> Prevention. 2011. Preteen <strong>and</strong> Teen Vaccines: Tdap Vaccine for Preteens <strong>and</strong> Teens. http://www.cdc.<br />

gov/vaccines/who/teens/vaccines/tdap.html (June 8, 2011)<br />

4. Immunization Action Coalition. 2010. Vaccines work! CDC statistics demonstrate dramatic declines in vaccine-preventable diseases when<br />

compared with <strong>the</strong> pre-vaccine era. http://www.immunize.org/catg.d/p4037.pdf (June 6, 2011)<br />

5. National foundation for Infectious Diseases. 2009. Adolescent Vaccination. 10 Reasons To Be Vaccinated. http://www.adolescentvaccination.<br />

org/ten_reasons.htm (June 9, 2011)<br />

6. broder, k.R., A.C. Cohn, b. Schwartz, J.D. klein, M.M. fisher, D.b. fishbein, C. Mijalski, G.b. burstein, M.E. Vernon-Smiley, M.M.<br />

McCauley, C.J. Wibbelsman. 2008. Adolescent Immunizations <strong>and</strong> o<strong>the</strong>r Clinical Preventive Services: A Needle <strong>and</strong> a Hook? Pediatrics<br />

121(Suppl 1):S25–S34.<br />

7. lee, G.M., S.A. lorick, E. Pfoh, k. kleinman, D. fishbein. Adolescent Immunizations: Missed opportunities for Prevention. 2008.<br />

Pediatrics 122(4):711–17.<br />

lEad sCrEEnIng In CHIldrEn<br />

1. Needleman, H.l. 2004. lead poisoning. Annual Review <strong>of</strong> Medicine 55:209–22.<br />

2. Environmental Protection Agency. Lead in Paint, Dust, <strong>and</strong> Soil: Health effects <strong>of</strong> lead. http://www.epa.gov/lead/pubs/leadinfo.<br />

htm#health (May 2011)<br />

3. General lead Information. National Center for Environmental Health http://www.cdc.gov/nceh/lead/ (May, 2011)<br />

4. United States Preventive Services Task force (USPSTf). 1996. Chapter 23, Screening for Elevated lead levels in Childhood <strong>and</strong><br />

Pregnancy. Guide to Clinical Preventive Services. Second Edition. http://www.ncbi.nlm.nih.gov/bookshelf/br.fcgi?book=hscps2ed1996&<br />

part=A12872 (March 9, 2009)<br />

5. lustberg, M., E. Silbergeld. blood lead levels <strong>and</strong> mortality. 2002. Arch Intern Med Nov 25;162(21):2443–9.<br />

6. lead: Prevention Tips. National Center for Environmental Health. Updated June 2009. http://www.cdc.gov/nceh/lead/tips.htm (May 2011)<br />

7. Tras<strong>and</strong>e, l., y. liu. Reducing The Staggering Costs <strong>of</strong> Environmental Disease in Children. 2011. Health Affairs, 30(5): 863–70.<br />

8. Jones, et al. 2009. Trends in blood lead levels <strong>and</strong> blood lead Testing Among US Children Aged 1 to 5 years, 1988–2004. Pediatrics<br />

March; 123(3):e376–85.<br />

WEIgHt assEssMEnt <strong>and</strong> CounsElIng for nutrItIon <strong>and</strong> PHysICal aCtIvIty for CHIldrEn/adolEsCEnts<br />

1. American Academy <strong>of</strong> Pediatrics. Prevention <strong>and</strong> Treatment <strong>of</strong> Childhood Overweight <strong>and</strong> Obesity: About Childhood Obesity.<br />

http://www.aap.org/obesity/about.html (June 9, 2011)<br />

2. National Child Care Information <strong>and</strong> Technical Assistance Center. 2010. Childhood Obesity Prevention. http://nccic.acf.hhs.gov/<br />

poptopics/childobesity.html (June 9, 2011)<br />

3. Centers for Disease Control <strong>and</strong> Prevention. 2011. Overweight <strong>and</strong> Obesity: Data <strong>and</strong> Statistics. http://www.cdc.gov/obesity/<br />

childhood/data.html (June 9, 2011)<br />

4. Centers for Disease Control <strong>and</strong> Prevention. 2011. Overweight <strong>and</strong> Obesity: Causes <strong>and</strong> Consequences. http://www.cdc.gov/obesity/<br />

causes/index.html (June 9, 2011)<br />

5. Centers for Disease Control <strong>and</strong> Prevention. 2011. Overweight <strong>and</strong> Obesity: Basics About Childhood Obesity. http://www.cdc.gov/<br />

obesity/childhood/basics.html (June 9, 2011)<br />

6. Centers for Disease Control <strong>and</strong> Prevention. 2011. Overweight <strong>and</strong> Obesity: Economic Consequences. http://www.cdc.gov/obesity/<br />

causes/economics.html (July 12, 2011)


T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • R E f E R E N C E S<br />

7. finkelstein, E.A., J.G. Trogdon, J.W. Cohen, W. Dietz. 2009. Annual medical spending attributable to obesity: Payer- <strong>and</strong> service-specific<br />

estimates. Health Affairs 28(5): w822–w831.<br />

8. Centers for Disease Control <strong>and</strong> Prevention. 2011. Overweight <strong>and</strong> Obesity: Basics About Childhood Obesity. http://www.cdc.gov/<br />

obesity/childhood/basics.html (June 9, 2011)<br />

fall rIsk ManagEMEnt<br />

1. American occupational Therapy Association. 2010. Analysis <strong>of</strong> Medicare Policy in Relation to Preventing Falls Among Older Adults.<br />

http://www.aota.org/Practitioners/PracticeAreas/Aging/falls/key/Analysis.aspx (May 27, 2011)<br />

2. American Geriatrics Society. 2010. Summary <strong>of</strong> <strong>the</strong> Updated American Geriatrics Society/British Geriatrics Society Clinical Practice<br />

Guideline for Prevention <strong>of</strong> Falls in Older Persons. http://www.americangeriatrics.org/files/documents/health_care_pros/JAGS.falls.<br />

Guidelines.pdf. (May 27, 2011)<br />

3. Centers for Disease Control <strong>and</strong> Prevention. 2010. Falls Among Older Adults: An Overview. http://www.cdc.gov/<br />

Home<strong>and</strong>RecreationalSafety/falls/adultfalls.html (May 27, 2011)<br />

4. Centers for Disease Control <strong>and</strong> Prevention. 2008. Self-Reported falls <strong>and</strong> fall-Related Injuries Among Persons Aged >65 years—United<br />

States. Morb Mortal Wkly Rep 57(09);225–9.<br />

5. business Group on Health. 2011. Injuries from falls: fact Sheet. http://www.businessgrouphealth.org/pdfs/04811%20NbGH%20<br />

InjuryPrevnt%20factSheet_fAllS.pdf (May 27, 2011)<br />

6. Centers for Disease Control <strong>and</strong> Prevention. 2011. Cost <strong>of</strong> fall Injuries in older Persons in <strong>the</strong> United States. http://www.cdc.gov/<br />

Home<strong>and</strong>RecreationalSafety/falls/data/cost-estimates.html (May 27, 2011)<br />

7. Centers for Disease Control <strong>and</strong> Prevention. 2011. Cost <strong>of</strong> fall Injuries in older Persons in <strong>the</strong> United States. http://www.cdc.gov/<br />

Home<strong>and</strong>RecreationalSafety/falls/data/cost-estimates.html (May 27, 2011)<br />

MEdICatIon In tHE EldErly<br />

1. budnitz, D., et al. 2006. National surveillance <strong>of</strong> emergency department visits for outpatient adverse drug events. JAMA 296:1858–66.<br />

2. zhan, C., et al. 2001. Potentially inappropriate medication use in <strong>the</strong> community-dwelling elderly. JAMA 286(22):2823–68.<br />

3. beers, M.H. 1997. Explicit criteria for determining potentially inappropriate medication use by <strong>the</strong> elderly. Arch Intern Med 157:1531–6.<br />

4. Rothberg, M.b., P.S. Pekow, f. liu, et al. 2008. Potentially inappropriate medication use in hospitalized elders. J Hosp Med 3(2):91–102.<br />

5. fick, D.M., et al. 2003. Updating <strong>the</strong> beers criteria for potentially inappropriate medication use in older adults. Arch Intern Med 163:2716–24.<br />

6. fick, D.M., l.C. Mion, M.H. beers, J.l. Waller. 2008. Health outcomes Associated With Potentially Inappropriate Medication Use in<br />

older Adults. Res Nurs Health 31(1):42–51.<br />

7. fu, A.z., J.A. Jiang, J.H. Reeves, J.E. fincham, G.G. liu, M. Perri. 2007. Potentially inappropriate medication use <strong>and</strong> healthcare<br />

expenditures in <strong>the</strong> US community-dwelling elderly. Med Care 45:472–476.<br />

8. Jano, E., R. Aparaus. 2007. Healthcare outcomes Associated with beers’ Criteria: A Systematic Review. Ann Pharmaco<strong>the</strong>r 41:438–48.<br />

9. The American Geriatrics Society (AGS) <strong>and</strong> british Geriatrics Society (bGS). Panel on <strong>the</strong> Clinical Practice Guideline for <strong>the</strong> Prevention <strong>of</strong><br />

Falls in Older Persons. Clinical practice guideline: Prevention <strong>of</strong> falls in older persons. http://www.americangeriatrics.org/health_care_<br />

pr<strong>of</strong>essionals/clinical_practice/clinical_guidelines_recommendations/2010/ (June 2, 2011)<br />

10. flores, E.k., R. Henry, D.W. Stewart. 2011. Pharmacist’s Role in an Interdisciplinary falls Clinic. SouthMed J 104(2):143–6.<br />

11. Hilmer, S.N., D.E. Mager, E.M. Simonsick, y. Cao, S.M. ling, G. Windham, T.b. Harris, J.T. Hanlon, S.M. Rubin, R.l. Shorr, et al. 2007. A<br />

drug burden index to define <strong>the</strong> functional burden <strong>of</strong> medications in older people. Arch Intern Med 167:781–7.<br />

ManagEMEnt <strong>of</strong> urInary InContInEnCE In oldEr adults<br />

1. Dubeau, C.E., G.A. kuchel, T. Johnson, et al. 2009. Incontinence in <strong>the</strong> frail Elderly. In: Incontinence, 4th ed. P. Abrams, l. Cardozo, S.<br />

khoury, A. Wein. 961–1024. Plymouth, Uk: Health Publication ltd.<br />

2. Morrison, A., R. levy. 2006. fraction <strong>of</strong> nursing home admissions attributable to urinary incontinence. Value Health 9(4):272.<br />

3. Holroyd-leduc, J.M., S.E. Straus. 2004. Management <strong>of</strong> Urinary Incontinence in Women. JAMA 291(8):996–9.<br />

4. koch, l.H. 2006. Help-seeking behaviors <strong>of</strong> women with urinary incontinence: an integrative literature review. J Midwifery Women’s<br />

Health 51(6):39–44.<br />

5. Gomelsky, A., R.R. Dmochowski. 2011. Urinary Incontinence in <strong>the</strong> Aging female: Etiology Pathophysiology <strong>and</strong> Treatment options.<br />

Aging health 7(1):79–88.<br />

6. buckley, b.S., M.C. lapitan. 2010. Prevalence <strong>of</strong> urinary incontinence in men, women, <strong>and</strong> children—current evidence: findings <strong>of</strong> <strong>the</strong><br />

fourth International Consultation on Incontinence. Urology 76:265.<br />

7. levy, R., N. Muller. 2006. Urinary incontinence: economic burden <strong>and</strong> new choices in pharmaceutical treatment. Adv Ther 23(4):556–73.<br />

8. Thum, l.P., A. Wagg. 2009. Management <strong>of</strong> urinary incontinence in <strong>the</strong> elderly. Aging Health 5(5), 647–53.<br />

9. Society <strong>of</strong> obstetricians <strong>and</strong> Gynaecologists <strong>of</strong> Canada (SoGC). 2006. Conservative management <strong>of</strong> urinary incontinence. J Obstet<br />

Gynaecol Can 28(12):1113–8.<br />

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PHysICal aCtIvIty In oldEr adults<br />

1. Ashe, M.C., W.C. Miller, J.J. Eng, l. Noreau. 2009. older adults, chronic disease <strong>and</strong> leisure-time physical activity. Gerontology 55(1) 64–72.<br />

2. Elsawy, b., k.E. Higgins. 2010. Physical Activity Guidelines for older Adults. American Family Physician. 81(1):55–9.<br />

3. Centers for Disease Control <strong>and</strong> Prevention (CDC). 2008. Preventing Obesity <strong>and</strong> Chronic Diseases Through Good Nutrition <strong>and</strong> Physical<br />

Activity. http://www.cdc.gov/nccdphp/publications/factsheets/Prevention/pdf/obesity.pdf (May 27, 2011)<br />

4. Centers for Disease Control <strong>and</strong> Prevention (CDC). 2011. Healthy Aging. Helping People To Live Long <strong>and</strong> Productive Lives <strong>and</strong> Enjoy a<br />

Good <strong>Quality</strong> Of Life. http://www.cdc.gov/chronicdisease/resources/publications/AAG/aging.htm (May 27, 2011)<br />

5. Ackermann, R.T., b., Williams, H.Q. Nguyen, E.M. berke, et al. 2008. Healthcare Cost Differences with Participation in a Community<br />

based Group Physical Activity benefit for Medicare Managed Care Health Plan Members. Journal <strong>of</strong> <strong>the</strong> American Geriatrics Society;<br />

56(8): 1459–65.<br />

6. Chodzko-zajko, W.J., D. Proctor, f.M. Singh, C.T. Minson, et al. 2009. Exercise <strong>and</strong> Physical Activity for older Adults. Medicine &<br />

Science in Sports & Exercise 41(7) 1510–30.<br />

7. Nelson, M.E., J. Rejeski, S.N. blair, P.W. Duncan, P.W., et al. Physical Activity <strong>and</strong> Public Health in older Adults: Recommendation from<br />

<strong>the</strong> American College <strong>of</strong> Sports Medicine <strong>and</strong> <strong>the</strong> American Heart Association. http://www.acsm.org/AM/Template.cfm?Section=home_<br />

page&Template=/CM/ContentDisplay.cfm&ContentID=7789 (May 27, 2011)<br />

glauCoMa sCrEEnIng In oldEr adults<br />

1. Goldberg, l.D. 2008. The Case for Glaucoma Screening: A look at <strong>the</strong> effect <strong>of</strong> early detection on healthcare costs. Ophthalmology<br />

Management. Available at http://www.ophmanagement.com/article.aspx?article=101274 (May 27, 2011)<br />

2. The foundation <strong>of</strong> <strong>the</strong> American Academy <strong>of</strong> ophthalmology. 2007. Glaucoma. Eye Care America. http://eyecareamerica.org/<br />

eyecare/conditions/glaucoma/index.cfm (May 27, 2011)<br />

3. National Eye Institute. 2010. Facts about Glaucoma. http://www.nei.nih.gov/health/glaucoma/glaucoma_facts.asp (May 27, 2011)<br />

4. Centers for Medicare & Medicaid Services. 2010. Medicare Preventive Services: Glaucoma. https://www.cms.gov/MlNProducts/<br />

downloads/glaucoma.pdf (May 27, 2011)<br />

5. National Eye Institute. Vision Problems in <strong>the</strong> U.S. http://www.preventblindness.org/vpus/2008_update/VPUS_2008_update.pdf (May 27, 2011)<br />

6. fiscella, R.G., J. lee, E. Davis, J. Walt. 2009. Cost <strong>of</strong> Illness <strong>of</strong> Glaucoma: A Critical <strong>and</strong> Systematic Review. Pharmaco Economics 27 (3)<br />

189–98.<br />

7. Mckinnon, S.J., l.D. Goldberg, P. Peeples, J.G. Walt, T.J. bramley. 2008. Current Management <strong>of</strong> Glaucoma <strong>and</strong> <strong>the</strong> Need for Complete<br />

Therapy. American Journal <strong>of</strong> Managed Care 14: S20–S27.<br />

ostEoPorosIs ManagEMEnt In WoMEn WHo Had a fraCturE<br />

1. Mayo Clinic. Osteoporosis Basics. http://www.mayoclinic.com/health/osteoporosis/DS00128 (June 2011)<br />

2. Vondracek, S.f., S.A. linnebur. 2009. Diagnosis <strong>and</strong> management <strong>of</strong> osteoporosis in <strong>the</strong> older senior. Clin Interv Aging 4:121–39.<br />

3. National Institute <strong>of</strong> Arthritis <strong>and</strong> Musculoskeletal <strong>and</strong> Skin Diseases. Once is Enough: A Guide to Preventing Future Fractures. Updated<br />

2009. http://my.clevel<strong>and</strong>clinic.org/Documents/rheumatology_immunology/oa01.pdf (June 2011).<br />

4. U.S. Preventive Services Task force. January 18, 2011. Screening for osteoporosis: U.S. Preventive Service Task force Recommendation<br />

Statement. Annals <strong>of</strong> Internal Medicine; 154: 356–64.<br />

5. Singh, S., R. foster, k.M. khan. 2011. Accident or osteoporosis? Survey <strong>of</strong> Community follow-up After low-Trauma fracture. Canadian<br />

Family Physician; 57(4): e128–33.<br />

6. lewiecki, E.M. 2008. Prevention <strong>and</strong> Treatment <strong>of</strong> Postmenopausal osteoporosis. Obstetrics <strong>and</strong> Gynecology Clinics <strong>of</strong> North America;<br />

35(2): 301–15.<br />

7. The Joint Commission. 2008. Improving <strong>and</strong> Measuring osteoporosis Management. http://www.jointcommission.org/assets/1/18/<br />

osteoMono_REVfinal_31208.pdf (June 2011)<br />

8. burge, R.T., b. Dawson-Hughes, A.b. king, et al., 2007. Incidence <strong>and</strong> Economic burden <strong>of</strong> osteoporosis Related fractures in <strong>the</strong> United<br />

States, 2005–2025. Journal <strong>of</strong> Bone Mineral Research; 22(3): 465–75.<br />

9. U.S. Department <strong>of</strong> Health <strong>and</strong> Human Services. Bone Health <strong>and</strong> Osteoporosis (A Report <strong>of</strong> <strong>the</strong> Surgeon General). 2004. Rockville, MD:<br />

US Dept <strong>of</strong> Health <strong>and</strong> Human Services, Public Health Service, <strong>of</strong>fice <strong>of</strong> <strong>the</strong> Surgeon General.<br />

10. Majumadr, S.R. 2008. Recent Trends in osteoporosis Treatment After Hip fracture: Improving but Wholly Inadequate. Journal <strong>of</strong><br />

Rheumatology 35(2): 190–1902.


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ostEoPorosIs tEstIng In oldEr WoMEn<br />

1. National osteoporosis foundation. 2008. fact Sheet. http://216.247.61.108/pr<strong>of</strong>essionals/N<strong>of</strong>_fact_Sheet.pdf (June 6, 2011)<br />

2. bone Health learning Center. Osteoporosis in 2011. http://www.healthline.com/health-feature/osteoporosis-2011 (June 8, 2011)<br />

3. burge, R., b. Dawson-Hughes, D.H. Solomon, J.b. Wong, A. king, A. Tosteson. 2007. Incidence <strong>and</strong> economic burden <strong>of</strong> osteoporosisrelated<br />

fractures in <strong>the</strong> United States, 2005–2025. Journal <strong>of</strong> Bone <strong>and</strong> Mineral Research 22(3):465–75.<br />

4. blume, S.W., J.R. Curtis. 2011. Medical costs <strong>of</strong> osteoporosis in <strong>the</strong> elderly Medicare population. Osteoporosis International 22(6):1835–44.<br />

5. becker, D.J., M.l. kilgore, M.A. Morrisey. 2010. The societal burden <strong>of</strong> osteoporosis. Current Rheumatology Report 12(3):186–91.<br />

6. Saag, S.G., P. Geusens. Progress in osteoporosis <strong>and</strong> fracture Prevention: focus on Postmenopausal Women. 2009. Arthritis Research &<br />

Therapy 11(5):251.<br />

7. Ioannidis, G., A. Papaioannou, l. Thabane, A. Gafni, A. Hodsman, b. kvern, A. Walsh, f. Jiwa, J.D. Adachi. 2009. family physicians’<br />

personal <strong>and</strong> practice characteristics that are associated with improved utilization <strong>of</strong> bone mineral density testing <strong>and</strong> osteoporosis<br />

medication prescribing. Population Health Management 12(3):131–8.<br />

197


ACkNoWlEDGMENTS<br />

Health Plans<br />

The 2011 State <strong>of</strong> Health Care <strong>Quality</strong> Report would not be possible without <strong>the</strong> public reporting<br />

<strong>of</strong> performance results by <strong>the</strong> 740 HMo <strong>and</strong> PoS plans <strong>and</strong> 302 PPo plans this report analyzes.<br />

Those plans collectively cover more than 118 million Americans, <strong>and</strong> are to be commended for<br />

<strong>the</strong>ir commitment to quality improvement.<br />

staff<br />

<strong>NCQA</strong> employees who helped create this report include:<br />

Communications<br />

Ashley Carter<br />

Paul Cotton<br />

Andy Reynolds, MbA<br />

Apoorva Stull, MA<br />

Sarah Thomas, MS<br />

data Collection operations<br />

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felicia fridie<br />

Robin Gant<br />

Carla Pacheco<br />

Michele Taylor<br />

Information systems<br />

bob Chisholm<br />

Jonathan Cook<br />

Paul Jackovich<br />

Judy Jiao<br />

bing li<br />

bhuvaneshwari Maruthac<br />

Raghav Seshadri<br />

Subra Shanmugam<br />

Helen zhang<br />

T H E S TAT E o f H E A l T H C A R E Q U A l I T y 2 0 1 1 • A C k N o W l E D G M E N T S<br />

Performance Measurement<br />

Dawn Alayon, MPH, CPH<br />

Sepheen C. byron, MHS<br />

Jennifer Chemi<br />

Mohua Choudhury<br />

Jeremy Gottlich<br />

C<strong>and</strong>ice Groseclose<br />

benjamin Hamlin, MPH<br />

Mallory l. N. Johnson, MPA<br />

Divya Pamnani, MHSA<br />

Milesh M. Patel, MS<br />

bob Rehm, MbA<br />

Dana T. Rey, MPH<br />

Careema yusuf, MPH<br />

Publications<br />

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Policy<br />

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<strong>Quality</strong> solutions group<br />

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