Race, ethnicity, and language data: standardization for health care quality improvement
Gespeichert in:
| Körperschaft: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C.
National Academies Press
c2009
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references Introduction -- Evidence of disparities among ethnicity groups -- Defining categorization needs for race and ethnicity data -- Defining language need and categories for collection -- Improving data collection across the health care system -- Implementation -- Acronyms and abbreviations -- Legislation cited in report -- Workshop agendas -- Subcommittee member and staff biographies -- Subcommittee template: developing a national standard set of granular ethnicity categories and a rollup scheme -- Granular ethnicities with no determinate OMB race classification -- Kaiser Permanente: evolution of data collection on race, ethnicity, and language preference information -- Contra Costa Health Plan language assistance database and ethnicity categories -- Subcommittee template: developing a national standard set of spoken language categories and coding 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 |
| Beschreibung: | 1 Online-Ressource (xxi, 181 p.) |
| ISBN: | 0309140129 0309140137 9780309140126 9780309140133 |
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| 500 | |a 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 | ||
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| spelling | Institute of Medicine (U.S.) Subcommittee on Standardized Collection of Race/Ethnicity Data for Healthcare Quality Improvement Verfasser aut Race, ethnicity, and language data standardization for health care quality improvement Subcommittee on Standardized Collection of Race/Ethnicity Data for Healthcare Quality Improvement, Board on Health Care Services ; Cheryl Ulmer, Bernadette McFadden, and David R. Nerenz, editors ; Institute of Medicine of the National Academies Washington, D.C. National Academies Press c2009 1 Online-Ressource (xxi, 181 p.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references Introduction -- Evidence of disparities among ethnicity groups -- Defining categorization needs for race and ethnicity data -- Defining language need and categories for collection -- Improving data collection across the health care system -- Implementation -- Acronyms and abbreviations -- Legislation cited in report -- Workshop agendas -- Subcommittee member and staff biographies -- Subcommittee template: developing a national standard set of granular ethnicity categories and a rollup scheme -- Granular ethnicities with no determinate OMB race classification -- Kaiser Permanente: evolution of data collection on race, ethnicity, and language preference information -- Contra Costa Health Plan language assistance database and ethnicity categories -- Subcommittee template: developing a national standard set of spoken language categories and coding 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 HEALTH & FITNESS / Health Care Issues bisacsh MEDICAL / Public Health bisacsh MEDICAL / Health Policy bisacsh HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Diseases bisacsh MEDICAL / Health Care Delivery bisacsh Medizin Minderheit Discrimination in medical care United States Health services accessibility Standards United States Minorities Medical care Standards Race discrimination United States USA Ulmer, Cheryl Sonstige oth McFadden, Bernadette Sonstige oth Nerenz, David R. Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=308616 Aggregator Volltext |
| spellingShingle | Race, ethnicity, and language data standardization for health care quality improvement HEALTH & FITNESS / Health Care Issues bisacsh MEDICAL / Public Health bisacsh MEDICAL / Health Policy bisacsh HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Diseases bisacsh MEDICAL / Health Care Delivery bisacsh Medizin Minderheit Discrimination in medical care United States Health services accessibility Standards United States Minorities Medical care Standards Race discrimination United States |
| title | Race, ethnicity, and language data standardization for health care quality improvement |
| title_auth | Race, ethnicity, and language data standardization for health care quality improvement |
| title_exact_search | Race, ethnicity, and language data standardization for health care quality improvement |
| title_full | Race, ethnicity, and language data standardization for health care quality improvement Subcommittee on Standardized Collection of Race/Ethnicity Data for Healthcare Quality Improvement, Board on Health Care Services ; Cheryl Ulmer, Bernadette McFadden, and David R. Nerenz, editors ; Institute of Medicine of the National Academies |
| title_fullStr | Race, ethnicity, and language data standardization for health care quality improvement Subcommittee on Standardized Collection of Race/Ethnicity Data for Healthcare Quality Improvement, Board on Health Care Services ; Cheryl Ulmer, Bernadette McFadden, and David R. Nerenz, editors ; Institute of Medicine of the National Academies |
| title_full_unstemmed | Race, ethnicity, and language data standardization for health care quality improvement Subcommittee on Standardized Collection of Race/Ethnicity Data for Healthcare Quality Improvement, Board on Health Care Services ; Cheryl Ulmer, Bernadette McFadden, and David R. Nerenz, editors ; Institute of Medicine of the National Academies |
| title_short | Race, ethnicity, and language data |
| title_sort | race ethnicity and language data standardization for health care quality improvement |
| title_sub | standardization for health care quality improvement |
| topic | HEALTH & FITNESS / Health Care Issues bisacsh MEDICAL / Public Health bisacsh MEDICAL / Health Policy bisacsh HEALTH & FITNESS / Diseases / General bisacsh MEDICAL / Diseases bisacsh MEDICAL / Health Care Delivery bisacsh Medizin Minderheit Discrimination in medical care United States Health services accessibility Standards United States Minorities Medical care Standards Race discrimination United States |
| topic_facet | HEALTH & FITNESS / Health Care Issues MEDICAL / Public Health MEDICAL / Health Policy HEALTH & FITNESS / Diseases / General MEDICAL / Diseases MEDICAL / Health Care Delivery Medizin Minderheit Discrimination in medical care United States Health services accessibility Standards United States Minorities Medical care Standards Race discrimination United States USA |
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