When race/ethnicity data are lacking : using advanced indirect estimation methods to measure disparities /

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"A key aim of U.S. health care reforms is to ensure equitable care while improving quality for all Americans. Limited race/ethnicity data in health care records hamper efforts to meet this goal. Despite improvements in access and quality, gaps persist, particularly among persons belonging to ra...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Fremont, Allen M. (Autor), Weissman, Joel S. (Autor), Hoch, Emily (Autor), Elliott, Marc N., 1966- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Santa Monica, California] : RAND Corporation, [2016]
Colección:Research report (Rand Corporation) ; RR-1162-COMMASS.
Temas:
Health care reform > United States.
Health services accessibility > United States.
Minorities > Medical care > United States.
Social status > Health aspects > United States.
Health care reform.
United States.
Health Care Reform
Health Services Accessibility > statistics & numerical data
Ethnicity > statistics & numerical data
Services de santé > Réforme > États-Unis.
Services de santé > Accessibilité > États-Unis.
Minorités > Soins médicaux > États-Unis.
Services de santé > Réforme.
Health care reform
Health services accessibility
Minorities > Medical care
United States
Acceso en línea:Texto completo
Descripción
Sumario:"A key aim of U.S. health care reforms is to ensure equitable care while improving quality for all Americans. Limited race/ethnicity data in health care records hamper efforts to meet this goal. Despite improvements in access and quality, gaps persist, particularly among persons belonging to racial/ethnic minority and low-income groups. This report describes the use of indirect estimation methods to produce probabilistic estimates of racial/ethnic populations to monitor health care utilization and improvement. One method described, called Bayesian Indirect Surname Geocoding, uses a person's Census surname and the racial/ethnic composition of their neighborhood to produce a set of probabilities that a given person belongs to one of a set of mutually exclusive racial/ethnic groups. Advances in methods for estimating race/ethnicity are enabling health plans and other health care organizations to overcome a long-standing barrier to routine monitoring and actions to reduce disparities in care. Though these new estimation methods are promising, practical knowledge and guidance on how to most effectively apply newly available race/ethnicity data to address disparities can be greatly extended"--Publisher's description.
Descripción Física:1 online resource (5 pages : color illustrations)
Bibliografía:Includes bibliographical references (page 5).
ISBN:9780833095169
0833095161

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