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Here - American Geriatrics Society

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P OSTER<br />

A BSTRACTS<br />

Conclusion: The focus of incentives motivated clinic activity, but<br />

the impact of care coordination incentives was greatest. Information<br />

about which had greater effect on utilization, patient outcomes, and<br />

clinic quality metrics is required to determine how to alter health policy.<br />

C110<br />

Person and Organizational Correlates of HEDIS High-Risk Drug<br />

Utilization within Veteran’s Administration Nursing Homes.<br />

D. M. Dosa, 2,1 O. Intrator, 2,1 G. Kochersberger, 3 P. Katz. 4 1. Medicine,<br />

Brown University, Providence, RI; 2. Providence Research<br />

Enhancement Award Program, Providence VA Medical Center,<br />

Providence, RI; 3. Canandaigua VAMC, Rochester, NY; 4. Baycrest<br />

Hospital, Toronto, ON, Canada.<br />

Supported By: Veteran’s Administration<br />

Objectives: A common error described in the literature is the<br />

utilization of high risk medications in the elderly—a population most<br />

likely to experience morbidity. This study evaluates the use of medications<br />

classified by the Healthcare Effectiveness Data Information<br />

Set (HEDIS) as high risk in VA Nursing Homes (NHs) and identifies<br />

any patient/organizational correlates of high use.<br />

Methods: Minimum Data Set (MDS) records from 2009 were<br />

merged with VA Pharmacy Data to identify residents of VA NHs who<br />

received at least one medication on the HEDIS high risk list. Utilizing<br />

HEDIS medication use as a quality indicator (QI), the MDS was<br />

then used to identify patient specific correlates of high use (e.g. demographics,<br />

cognitive status, and functional status.) Organizational<br />

practices within specific NHs were identified from a 2010 VA NH<br />

medical director survey. Descriptive statistics (Chi- Square, t-tests)<br />

were used to test associations between person level variables and a<br />

Poisson Regression analysis was conducted to test associations of organizational<br />

characteristics with the QI.<br />

Results: Of 43,577 veterans residing in any of 132 NHs, 2666<br />

(6.4%) received at least 1 HEDIS medication. Females were more<br />

likely to receive a HEDIS drug (10.5 versus 5.9%). Those with better<br />

cognition (7.1%) were more likely to receive a HEDIS drug compared<br />

to those with intermediate(4.6%) or severe cognitive status (4.0%).<br />

Conversely, residents were more likely to get a HEDIS medication as<br />

their functional status declined on a 28-point scale. Among organizational<br />

correlates, increased HEDIS medication use was noted at<br />

homes with increased hospice care, short stay rehabilitation, low cognitive<br />

impairment, and higher acuity. Decreased HEDIS use was associated<br />

with the perception of greater physician supervision by the medical<br />

director (Estimate: -0.69, 95% confidence interval (CI) -0.94 to<br />

-0.43) and by the perception of better NH leadership (Estimate: -0.47;<br />

95% CI: -0.73 to -0.21).All estimates were significant at less than 1%.<br />

Conclusions: The HEDIS QI appears to be important in targeting<br />

veterans receiving high risk medications in VA NHs. Certain subpopulations<br />

are at higher risk for receiving HEDIS medications and<br />

can be targeted for quality improvement efforts.<br />

C111<br />

Food Access in Aging Adults with Impaired Mobility.<br />

D. L. Huang, 1,2 D. E. Rosenberg, 3 S. D. Petz, 4 B. Belza. 4,5 1. Veterans<br />

Affairs Puget Sound Health Care System, Seattle, WA; 2. Division of<br />

Gerontology and Geriatric Medicine, University of Washington,<br />

Seattle, WA; 3. Group Health Research Institute, Seattle, WA; 4. School<br />

of Nursing, University of Washington, Seattle, WA; 5. Health<br />

Promotion Research Center, University of Washington, Seattle, WA.<br />

Supported By: FUNDING: CDC Prevention Research Centers<br />

Program, through a grant to the University of Washington Health<br />

Promotion Research Center (cooperative agreement #U48-DP001911).<br />

Dr. Huang receives salary support from the Department of Veterans<br />

Affairs Advanced Fellowship in <strong>Geriatrics</strong>.<br />

BACKGROUND: Food access is essential and may be difficult<br />

for aging adults, especially those with impaired mobility. Many aging<br />

adults may not live near locations where they can access food outside<br />

their residence, such as grocery stores. The purpose of this study was<br />

to determine where aging adults access food and built environment<br />

factors affecting their ability to access food.<br />

METHODS: Thirty-five older adults living in the Seattle, WA<br />

metropolitan area who used assistive mobility devices completed<br />

in-depth interviews focusing on built environment barriers and facilitators<br />

in their neighborhood and wore a Global Positioning System<br />

(GPS) device for 3 days. Qualitative data analysis of 20 interviews<br />

to date was completed to date by 2 researchers using Atlas.ti<br />

software.<br />

RESULTS: Participants’ mean age was 66.8 years (range 50-86<br />

years), 9 (25.7%) lived in low-income ( 80 years<br />

old, but evidence-based guidelines specific to the elderly are scarce.<br />

OBJECTIVES To correlate serious episodes of hypoglycemia<br />

(blood sugar < 65 with symptoms) with patient-specific factors and<br />

medication use. METHODS Prospectively designed retrospective<br />

explicit electronic chart review of 140 patients randomly selected out<br />

of a pool of 525 consecutive patients with diabetes that visited our<br />

clinic 8/1-10/30/2010. We excluded subjects as follows: age < 65<br />

(n=3), mislabeled as diabetics (n=6), no follow up visit<br />

4/1–10/30/2011 (n=6), or no follow up HbA1c after enrollment<br />

(n=8). Serious hypoglycemia was defined as blood sugar less than 65<br />

with reported symptoms. Chi 2 and logistic regression techniques<br />

were used to investigate the efficacy (levels of HbA1c, LDL) and<br />

safety (serious hypoglycemia) of chosen medication classes and<br />

achieved therapeutic goals. RESULTS The mean age was 78±8 years<br />

(range 65-100). Other baseline characteristics and univariate results<br />

are shown in table 1. 96% were on statins, yet only 32% had an LDL<br />

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