Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement
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Race, Ethnicity, and Language Data:
Standardization for Health Care Quality Improvement
(2009)
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Overview

Authors

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.

Topics

  • Health and Medicine — Minority Health
  • Health and Medicine — Policy, Reviews and Evaluations

Publication Info

286 pages | 8.5 X 11
Paperback
ISBN: 978-0-309-14012-6
Contents
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Suggested Citation

Institute of Medicine. Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement. Washington, DC: The National Academies Press, 2009.

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