Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement

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National Academies Press, Nov 30, 2009 - Medical - 286 pages
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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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Contents

Summary
1
1 Introduction
13
2 Evidence of Disparities Among Ethnicity Groups
31
3 Defining Categorization Needs for Race and Ethnicity Data
61
4 Defining Language Need and Categories for Collection
93
5 Improving Data Collection Across the Health Care System
127
6 Implementation
147
Acronyms and Abbreviations
163
Workshop Agendas
171
Subcommittee Member and Staff Biographies
177
Subcommittee Template Developing a National Standard Set of Granular Ethnicity Categories and a Rollup Scheme
183
Granular Ethnicities with No Determinate OMB Race Classification
199
Kaiser Permanente Evolution of Data Collection on Race Ethnicity and Language Preference Information
201
Contra Costa Health Plan Language Assistance Database and Ethnicity Categories
221
Subcommittee Template Developing a National Standard Set of Spoken Language Categories and Coding
237
Copyright

Legislation Cited in Report
167

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