Race Ethnicity And Language Data
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Race, Ethnicity, and Language Data
Author: Institute of Medicine
language: en
Publisher: National Academies Press
Release Date: 2009-11-30
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
Author: Institute of Medicine
language: en
Publisher: National Academies Press
Release Date: 2009-12-30
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.
Assessing Race, Ethnicity and Gender in Health
Author: Sana Loue
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-12-22
This book deals specifically with the historical basis for use of terms in race, gender, ethnicity, sex and sexual orientation. It brings much needed clarity to the debate by identifying the ethical issues as well as the technical challenges inherent in measuring these elusive concepts. The author expands on her work begun in Gender, Ethnicity, and Health Research by paralleling the evolution of racial and sexual categories with the development of health research. In addition, the book provides a salient guide to assessment tools currently used in measuring racial and sexual constructs, identity, and experience.