Explicitly expressing the rationale for the data collection and training staff, organizational leadership, and the public to appreciate the need to use valid collection mechanisms may improve the situation. Entities within the health care system face challenges when collecting race, ethnicity, and language data from patients, enrollees, members, and respondents.
While a range of health and health care entities collect data, the data do not flow among these entities in a cohesive or standardized way. Subcommittee Template: Developing a National Standard Set of Spoken Language Categories and Coding Contra Costa Health Plan Language Assistance Database and Ethnicity Categories Kaiser Permanente: Evolution of Data Collection on Race, Ethnicity, and Language Preference Information Granular Ethnicities with No Determinate OMB Race Classification Subcommittee Template: Developing a National Standard Set of Granular Ethnicity Categories and a Rollup Scheme Subcommittee Member and Staff Biographies Improving Data Collection across the Health Care System Defining Language Need and Categories for Collection Defining Categorization Needs for Race and Ethnicity Data Evidence of Disparities among Ethnicity Groups Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement.
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