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Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database
Medicare administrative data are fairly accurate in identifying people who affiliate with White or Black racial groups; but less so for other race groups or for Hispanic/Latino origin. Some differences were found between people who were identified as members of these other race groups and those who...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
CENTERS for MEDICARE & MEDICAID SERVICES
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194866/ https://www.ncbi.nlm.nih.gov/pubmed/25371985 |
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author | Waldo, Daniel R. |
author_facet | Waldo, Daniel R. |
author_sort | Waldo, Daniel R. |
collection | PubMed |
description | Medicare administrative data are fairly accurate in identifying people who affiliate with White or Black racial groups; but less so for other race groups or for Hispanic/Latino origin. Some differences were found between people who were identified as members of these other race groups and those who were missed by the administrative data. Although Medicare administrative files are a useful source of data for analysis of disparities in health care, researchers should be careful to use alternate data sources to test for potential differences between identified and unidentified members of racial and ethnic groups in the attributes being studied. |
format | Online Article Text |
id | pubmed-4194866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | CENTERS for MEDICARE & MEDICAID SERVICES |
record_format | MEDLINE/PubMed |
spelling | pubmed-41948662014-11-04 Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database Waldo, Daniel R. Health Care Financ Rev Research Article Medicare administrative data are fairly accurate in identifying people who affiliate with White or Black racial groups; but less so for other race groups or for Hispanic/Latino origin. Some differences were found between people who were identified as members of these other race groups and those who were missed by the administrative data. Although Medicare administrative files are a useful source of data for analysis of disparities in health care, researchers should be careful to use alternate data sources to test for potential differences between identified and unidentified members of racial and ethnic groups in the attributes being studied. CENTERS for MEDICARE & MEDICAID SERVICES 2004 /pmc/articles/PMC4194866/ /pubmed/25371985 Text en |
spellingShingle | Research Article Waldo, Daniel R. Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database |
title | Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database |
title_full | Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database |
title_fullStr | Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database |
title_full_unstemmed | Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database |
title_short | Accuracy and Bias of Race/Ethnicity Codes in the Medicare Enrollment Database |
title_sort | accuracy and bias of race/ethnicity codes in the medicare enrollment database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194866/ https://www.ncbi.nlm.nih.gov/pubmed/25371985 |
work_keys_str_mv | AT waldodanielr accuracyandbiasofraceethnicitycodesinthemedicareenrollmentdatabase |