Race, Ethnicity, and Language Data:

Standardization for Health Care Quality Improvement

Status: Available Now

Size: 286 pages, 8.5 X 11

Publication Year:2009

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PAPERBACK ISBN-10: 0-309-14012-9 ISBN-13: 978-0-309-14012-6	$60.25	$54.23	Add to Cart

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Authors:
Cheryl Ulmer, Bernadette McFadden, and David R. Nerenz, Editors; Subcommittee on Standardized Collection of Race/Ethnicity Data for Healthcare Quality Improvement; Institute of Medicine
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Table of Contents
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Front Matter	i-xxii
Summary	1-12	(skim)
1 Introduction	13-30	(skim)
2 Evidence of Disparities Among Ethnicity Groups	31-60	(skim)
3 Defining Categorization Needs for Race and Ethnicity Data	61-92	(skim)
4 Defining Language Need and Categories for Collection	93-126	(skim)
5 Improving Data Collection Across the Health Care System	127-146	(skim)
6 Implementation	147-162	(skim)
Appendix A: Acronyms and Abbreviations	163-166	(skim)
Appendix B: Legislation Cited in Report	167-170	(skim)
Appendix C: Workshop Agendas	171-176	(skim)
Appendix D: Subcommittee Member and Staff Biographies	177-182	(skim)
Appendix E: Subcommittee Template: Developing a National Standard Set of Granular Ethnicity Categories and a Rollup Scheme	183-198	(skim)
Appendix F: Granular Ethnicities with No Determinate OMB Race Classification	199-200	(skim)
Appendix G: Kaiser Permanente: Evolution of Data Collection on Race, Ethnicity, and Language Preference Information	201-220	(skim)
Appendix H: Contra Costa Health Plan Language Assistance Database and Ethnicity Categories	221-236	(skim)
Appendix I: Subcommittee Template: Developing a National Standard Set of Spoken Language Categories and Coding	237-264	(skim)

Description

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.

Race, Ethnicity, and Language Data:

Standardization for Health Care Quality Improvement

Description

Authoring Organizations

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