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Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement
Figure 4-3. Most spoken languages in North Dakota, Minnesota, Texas, and Maine, 2005
Table of Contents
- Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement
- Summary
- Reviewers
- 1. Introduction
- 2. Evidence of Disparities among Ethnicity Groups
- 3. Defining Categorization Needs for Race and Ethnicity Data
- 4. Defining Language Need and Categories for Collection
- 5. Improving Data Collection across the Health Care System
- 6. Implementation
- A. Acronyms and Abbreviations
- B. Legislation Cited in Report
- C. Workshop Agendas
- D. Subcommittee Member and Staff Biographies
- E. Subcommittee Template: Developing a National Standard Set of Granular Ethnicity Categories and a Rollup Scheme
- F. Granular Ethnicities with No Determinate OMB Race Classification
- G. Kaiser Permanente: Evolution of Data Collection on Race, Ethnicity, and Language Preference Information
- H. Contra Costa Health Plan Language Assistance Database and Ethnicity Categories
- I. Subcommittee Template: Developing a National Standard Set of Spoken Language Categories and Coding
Publication: 10-0058-EF
Page last reviewed May 2018
Page originally created September 2012
Internet Citation: Figure 4-3. Most spoken languages in North Dakota, Minnesota, Texas, and Maine, 2005. Content last reviewed May 2018. Agency for Healthcare Research and Quality, Rockville, MD.
https://www.ahrq.gov/research/findings/final-reports/iomracereport/reldata4fig4-3ad.html
