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Measurement Challenges in Developing the National Healthcare Quality Report and the National Healthcare Disparities Report

Bibliographic Data

ID9100710
AuthorsIrma E Arispe (Centers for Disease Control and Prevention, corresponding author), Julia S Holmes (National Center for Health Statistics, corresponding author), Ernest Moy (0000-0002-0681-6866, Agency for Healthcare Research and Quality)
Year2005
Volume43
IssueSupplement
PagesI-17-I-23
Publication date2005-03-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-200503001-00004
PMID15746586
OpenAlexW1979568035
LanguageEN
Citations received4
References cited11

OBJECTIVES: The objective of this study was to describe 2 measurement challenges faced in the development of the National Healthcare Quality Report (NHQR) and the National Healthcare Disparities Report (NHDR): the use of federal data on race and ethnicity and the selection of measures of socioeconomic status (SES). METHODS: Over 30 federal and nonfederal data systems were examined to identify measures of race, ethnicity, and SES and to evaluate the characteristics and relative quality of the data. RESULTS: The availability and quality of data on race, ethnicity, and SES vary by factors such as the type of data (population or establishment based-survey, administrative/claims data, or vital statistics), the source of information (self, proxy, other, or some combination), and the transition to new federal standards. No single measure of SES could be identified, so a mix of measures is presented, including income, education, and expected source of payment (ESOP). Income relative to federal poverty level was used as the preferred SES measure from person-based surveys. Selected analyses linking hospital discharge data to annual median household income from US census data were presented for data derived from administrative data systems. Educational attainment was the variable used for examining SES using data from the Vital Statistics System. CONCLUSIONS: The first NHQR and NHDR maximized the presentation of data by accommodating the variation among data systems while at the same time imposing some standardization in the coding and classification of data on race, ethnicity, and SES

Actuarial science · Business · Data quality · Economic growth · Economics · Environmental health · Ethnic group · Geography · Health care · Health equity · Political science · Population · Proxy (statistics) · Socioeconomic status · Statistics · Healthcare Policy and Management · Medicine · Patient Satisfaction in Healthcare · Racial and Ethnic Identity Research

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Citations per year0.19
Citation span2005 - 2007 (3)
Highly citedNo

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