Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Waldo, Daniel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CENTERS for MEDICARE & MEDICAID SERVICES 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194866/
https://www.ncbi.nlm.nih.gov/pubmed/25371985
_version_ 1782339203798925312
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