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information on treatment and payer histories,<br />

hospitalization events, deaths, physician and supplier<br />

services, and providers.<br />

Coverage. The primary source of ESRD identification is the<br />

ESRD Medical Evidence form that is used to register patients<br />

at the onset of ESRD and that must be submitted by dialysis<br />

or transplant providers within 45 days of initiation. The form<br />

establishes Medicare eligibility for individuals previously not<br />

Medicare beneficiaries, reclassifies previously eligible<br />

beneficiaries as ESRD patients, and provides demographic<br />

and diagnostic information on all new patients. The CMS,<br />

USRDS, and renal research communities rely on the form to<br />

ascertain patient demographics, primary diagnosis,<br />

comorbidities, and biochemical test results at the time of<br />

ESRD initiation. Since 1995, providers have been required to<br />

complete the form for all new ESRD patients (Medicare and<br />

non-Medicare eligible).<br />

Methodology. Data for the USRDS database are compiled<br />

from existing data sources, including the CMS Renal<br />

Management Information System (REMIS), CMS claims data,<br />

facility survey data, CDC survey data (National Health and<br />

Nutrition Examination Survey [NHANES]), Standard<br />

Information Management System (SIMS), Medicare Evidence<br />

form (CMS–2728), ESRD Death Notification form (CMS–274<br />

6), and OPTN transplant and wait-list data. The CMS data files<br />

are supplemented by CMS with enrollment, payer history,<br />

and other administrative data, to provide utilization and<br />

demographic information on ESRD patients.<br />

Coverage rates are 100% of people treated for ESRD since<br />

May 1995 because the amended ESRD entitlement policy<br />

requires that a Medicare Evidence form be submitted for all<br />

ESRD patients, regardless of their insurance and eligibility<br />

status. However, the payment data for non-Medicare ESRD<br />

patients may be absent during the 30-month coordination<br />

period.<br />

Issues Affecting Interpretation. Ascertainment of incident<br />

cases may be incomplete because the data are for persons<br />

receiving ESRD treatment as reported to CMS and do not<br />

include patients who die of ESRD before receiving treatment<br />

and those who are not reported to CMS. In 2014, the<br />

methodology was revised and all data were reestimated.<br />

Reference<br />

National Institutes of Health, National Institute of<br />

Diabetes and Digestive and Kidney Diseases. United<br />

States Renal Data System annual data report 2014: An<br />

overview of the epidemiology of kidney disease in the<br />

United States. Bethesda, MD: NIH; 2014. Available from:<br />

http://www.usrds.org/adr.aspx.<br />

For More Information. See the USRDS website at:<br />

http://www.usrds.org.<br />

Youth Risk Behavior Survey (YRBS)<br />

CDC/National Center for HIV, Hepatitis, STD, and TB<br />

Prevention (NCHHSTP)<br />

Overview. YRBS monitors health risk behaviors among<br />

students in grades 9–12 that contribute to morbidity and<br />

mortality in both adolescence and adulthood. The six areas<br />

monitored are behaviors that contribute to unintentional<br />

injuries and violence; tobacco use; alcohol and other drug<br />

use; sexual behaviors that contribute to unintended<br />

pregnancy and sexually transmitted diseases (STDs),<br />

including human immunodeficiency virus (HIV) infection;<br />

unhealthy dietary behaviors; and physical inactivity. In<br />

addition, YRBS monitors the prevalence of obesity, asthma,<br />

and sleep behaviors.<br />

Coverage. National data are representative of high school<br />

students in public and private schools in the United States.<br />

Methodology. The national YRBS school-based surveys have<br />

been conducted biennially since 1991. A three-stage cluster<br />

sample design is used to produce a nationally representative<br />

sample of students in grades 9–12 attending public and<br />

private schools. In 2013, the first-stage sampling frame<br />

comprised primary sampling units (PSUs), consisting of<br />

counties, subareas of large counties, or groups of smaller,<br />

adjacent counties. PSUs were categorized into strata<br />

according to their metropolitan statistical area (MSA) status<br />

(i.e., urban city) and the percentages of black and Hispanic<br />

students in the PSUs. PSUs were sampled with probability<br />

proportional to overall school enrollment size for the PSU. In<br />

the second stage of sampling, schools with any of grades<br />

9–12 were sampled with probability proportional to school<br />

enrollment size. The third stage of sampling consisted of<br />

random sampling in each of grades 9–12, one or two<br />

classrooms from either a required subject (e.g., English or<br />

social studies) or a required period (e.g., homeroom or<br />

second period).<br />

All students in sampled classes were eligible to participate.<br />

Schools, classes, and students that refused to participate<br />

were not replaced. To enable a separate analysis of data for<br />

black and Hispanic students, two classes per grade, rather<br />

than one, were sampled in schools with a high enrollment of<br />

black and Hispanic students. Prior to 2013, three strategies<br />

were used to oversample black and Hispanic students:<br />

(a) larger sampling rates were used to select PSUs that were<br />

in high-black and high-Hispanic strata; (b) a modified<br />

measure of size was used to increase the probability of<br />

sampling schools with a disproportionately high minority<br />

enrollment; and (c) two classes per grade, rather than one,<br />

were sampled in schools with a high enrollment of black and<br />

Hispanic students. A weighting factor is applied to each<br />

student record to adjust for nonresponse and for the varying<br />

probabilities of selection, including those resulting from the<br />

oversampling of black and Hispanic students.<br />

Health, United States, 2014 Appendix I. Data Sources 389

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