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  1. 16 mar 2017 · This issue brief documents how race, ethnicity, and language data are collected for the Medicaid programs in the 50 U.S. states, the District of Columbia, and five U.S. territories: American Samoa, Guam, the Commonwealth of Northern Mariana Islands (CNMI), Puerto Rico, and the U.S. Virgin Islands.

  2. 28 paź 2014 · This guide provides a framework for hospitals and care systems to stratify patient race, ethnicity and language data and use them to identify and address health care disparities. In the guide you will find sample dashboards and outlined steps.

  3. A basic level health equity, diversity and inclusion dashboard may include measures to include the following: race, ethnicity and language preference (REaL) data collection, stratification and use; cultural competency training; diversity and inclusion in governance and leadership; and community partnerships.

  4. This report offers an approach to identifying racial, ethnic, and language categories that bear on disparities in health care and health outcomes. Extending beyond the broad racial and ethnic categories used by the Office of Management and Budget, this report provides a more granular classification of ethnicity and language needs.

  5. 30 wrz 2014 · This toolkit provides practical tools and guidance to those interested in improving the quality of their hospital patient race, ethnicity, and primary language (R/E/L) data collection efforts.

  6. 29 lut 2024 · The intent of the requirement is to collect race and ethnicity information to identify potential health care disparities, and organizations have the flexibility to determine which categories of race and ethnicity are appropriate for the population they serve.

  7. 19 gru 2022 · Using demographic data to disaggregate key healthcare metrics unearths disparities in care quality, safety, and access among and between patient populations. Visualizing disparities provides information, which can be used to develop and test interventions and scale those with promising results.

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