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The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology

BACKGROUND: Administrative claims of United States Centers for Medicare and Medicaid Services (CMS) beneficiaries have long been used in non-experimental research. While CMS performs in-house checks of these claims, little is known of their quality for conducting pharmacoepidemiologic research. We p...

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Autores principales: Leonard, Charles E., Brensinger, Colleen M., Nam, Young Hee, Bilker, Warren B., Barosso, Geralyn M., Mangaali, Margaret J., Hennessy, Sean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406992/
https://www.ncbi.nlm.nih.gov/pubmed/28446159
http://dx.doi.org/10.1186/s12913-017-2247-7
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author Leonard, Charles E.
Brensinger, Colleen M.
Nam, Young Hee
Bilker, Warren B.
Barosso, Geralyn M.
Mangaali, Margaret J.
Hennessy, Sean
author_facet Leonard, Charles E.
Brensinger, Colleen M.
Nam, Young Hee
Bilker, Warren B.
Barosso, Geralyn M.
Mangaali, Margaret J.
Hennessy, Sean
author_sort Leonard, Charles E.
collection PubMed
description BACKGROUND: Administrative claims of United States Centers for Medicare and Medicaid Services (CMS) beneficiaries have long been used in non-experimental research. While CMS performs in-house checks of these claims, little is known of their quality for conducting pharmacoepidemiologic research. We performed exploratory analyses of the quality of Medicaid and Medicare data obtained from CMS and its contractors. METHODS: Our study population consisted of Medicaid beneficiaries (with and without dual coverage by Medicare) from California, Florida, New York, Ohio, and Pennsylvania. We obtained and compiled 1999–2011 data from these state Medicaid programs (constituting about 38% of nationwide Medicaid enrollment), together with corresponding national Medicare data for dually-enrolled beneficiaries. This descriptive study examined longitudinal patterns in: dispensed prescriptions by state, by quarter; and inpatient hospitalizations by federal benefit, state, and age group. We further examined discrepancies between demographic characteristics and disease states, in particular frequencies of pregnancy complications among men and women beyond childbearing age, and prostate cancers among women. RESULTS: Dispensed prescriptions generally increased steadily and consistently over time, suggesting that these claims may be complete. A commercially-available National Drug Code lookup database was able to identify the dispensed drug for 95.2–99.4% of these claims. Because of co-coverage by Medicare, Medicaid data appeared to miss a substantial number of hospitalizations among beneficiaries ≥ 45 years of age. Pregnancy complication diagnoses were rare in males and in females ≥ 60 years of age, and prostate cancer diagnoses were rare in females. CONCLUSIONS: CMS claims from five large states obtained directly from CMS and its contractors appeared to be of high quality. Researchers using Medicaid data to study hospital outcomes should obtain supplemental Medicare data on dual enrollees, even for non-elders. TRIAL REGISTRATION: Not applicable. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-017-2247-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-54069922017-05-02 The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology Leonard, Charles E. Brensinger, Colleen M. Nam, Young Hee Bilker, Warren B. Barosso, Geralyn M. Mangaali, Margaret J. Hennessy, Sean BMC Health Serv Res Research Article BACKGROUND: Administrative claims of United States Centers for Medicare and Medicaid Services (CMS) beneficiaries have long been used in non-experimental research. While CMS performs in-house checks of these claims, little is known of their quality for conducting pharmacoepidemiologic research. We performed exploratory analyses of the quality of Medicaid and Medicare data obtained from CMS and its contractors. METHODS: Our study population consisted of Medicaid beneficiaries (with and without dual coverage by Medicare) from California, Florida, New York, Ohio, and Pennsylvania. We obtained and compiled 1999–2011 data from these state Medicaid programs (constituting about 38% of nationwide Medicaid enrollment), together with corresponding national Medicare data for dually-enrolled beneficiaries. This descriptive study examined longitudinal patterns in: dispensed prescriptions by state, by quarter; and inpatient hospitalizations by federal benefit, state, and age group. We further examined discrepancies between demographic characteristics and disease states, in particular frequencies of pregnancy complications among men and women beyond childbearing age, and prostate cancers among women. RESULTS: Dispensed prescriptions generally increased steadily and consistently over time, suggesting that these claims may be complete. A commercially-available National Drug Code lookup database was able to identify the dispensed drug for 95.2–99.4% of these claims. Because of co-coverage by Medicare, Medicaid data appeared to miss a substantial number of hospitalizations among beneficiaries ≥ 45 years of age. Pregnancy complication diagnoses were rare in males and in females ≥ 60 years of age, and prostate cancer diagnoses were rare in females. CONCLUSIONS: CMS claims from five large states obtained directly from CMS and its contractors appeared to be of high quality. Researchers using Medicaid data to study hospital outcomes should obtain supplemental Medicare data on dual enrollees, even for non-elders. TRIAL REGISTRATION: Not applicable. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-017-2247-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-26 /pmc/articles/PMC5406992/ /pubmed/28446159 http://dx.doi.org/10.1186/s12913-017-2247-7 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Leonard, Charles E.
Brensinger, Colleen M.
Nam, Young Hee
Bilker, Warren B.
Barosso, Geralyn M.
Mangaali, Margaret J.
Hennessy, Sean
The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology
title The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology
title_full The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology
title_fullStr The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology
title_full_unstemmed The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology
title_short The quality of Medicaid and Medicare data obtained from CMS and its contractors: implications for pharmacoepidemiology
title_sort quality of medicaid and medicare data obtained from cms and its contractors: implications for pharmacoepidemiology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5406992/
https://www.ncbi.nlm.nih.gov/pubmed/28446159
http://dx.doi.org/10.1186/s12913-017-2247-7
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