The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.
Board on Health Care Services & Institute of Medicine
Race, Ethnicity, and Language Data [EPUB ebook]
Standardization for Health Care Quality Improvement
Race, Ethnicity, and Language Data [EPUB ebook]
Standardization for Health Care Quality Improvement
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Taal Engels ● Formaat EPUB ● Pagina’s 286 ● ISBN 9780309148665 ● Editor Bernadette McFadden & Cheryl Ulmer ● Uitgeverij National Academies Press ● Gepubliceerd 2009 ● Downloadbare 3 keer ● Valuta EUR ● ID 7149431 ● Kopieerbeveiliging Adobe DRM
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