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Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey
BACKGROUND: The Medicare Current Beneficiary Survey (MCBS) limited‐access data provides the unique opportunity to utilize administrative claims and adjusted survey data to investigate trends in utilization and medical expenditure across time. The adjusted survey data is a synthesized, matched versio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102707/ https://www.ncbi.nlm.nih.gov/pubmed/37064308 http://dx.doi.org/10.1002/hsr2.1193 |
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author | Chou, Chiahung McDaniel, Cassidi C. Lai, Tim C. McDonald, Courtney P. Rockwell, Devan Loh, Feng‐Hua |
author_facet | Chou, Chiahung McDaniel, Cassidi C. Lai, Tim C. McDonald, Courtney P. Rockwell, Devan Loh, Feng‐Hua |
author_sort | Chou, Chiahung |
collection | PubMed |
description | BACKGROUND: The Medicare Current Beneficiary Survey (MCBS) limited‐access data provides the unique opportunity to utilize administrative claims and adjusted survey data to investigate trends in utilization and medical expenditure across time. The adjusted survey data is a synthesized, matched version of the original survey data and claims. Researchers may choose adjusted survey data or original claims for cost evaluations according to their research purpose. However, limited research has examined methodological issues when estimating medical cost using different MCBS data sources. OBJECTIVE: The study objective was to examine the reproducibility of individual‐level medical cost using both MCBS data sources: adjusted survey and claims data. METHODS: This serial cross‐sectional study design analyzed 2006–2012 MCBS data. The sample included noninstitutionalized older Medicare beneficiaries (≥65 years old), with a cancer diagnosis and annually enrolled in Medicare Parts A, B, and D. The population was stratified by diabetes diagnosis. The primary outcome was annual medical cost. We investigated the discrepancies of medical cost estimated from the adjusted survey and original claims data. The agreement between cost estimates from the two sources in each year was determined using the Wilcoxon signed‐rank test. RESULTS: A total of 4918 eligible Medicare beneficiaries were included in this study, and 26% of beneficiaries also had diabetes (N = 1275). Significant disagreements in cost estimates between adjusted survey and claims data were present regardless of disease complexity (with or without diabetes). Significant disagreements in medical cost estimates were present in most years, except in 2010 (p = 0.467) and 2011 (p = 0.098), for beneficiaries with cancer and diabetes (p < 0.001 for all). Significant disagreements in medical cost estimates were present in all years for beneficiaries with cancer without diabetes (p < 0.001 for all). CONCLUSIONS: Based on discrepant cost estimates across data sources, researchers using MCBS to estimate costs should be cautious when using claims or adjusted survey data alone. |
format | Online Article Text |
id | pubmed-10102707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101027072023-04-15 Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey Chou, Chiahung McDaniel, Cassidi C. Lai, Tim C. McDonald, Courtney P. Rockwell, Devan Loh, Feng‐Hua Health Sci Rep Methods Articles BACKGROUND: The Medicare Current Beneficiary Survey (MCBS) limited‐access data provides the unique opportunity to utilize administrative claims and adjusted survey data to investigate trends in utilization and medical expenditure across time. The adjusted survey data is a synthesized, matched version of the original survey data and claims. Researchers may choose adjusted survey data or original claims for cost evaluations according to their research purpose. However, limited research has examined methodological issues when estimating medical cost using different MCBS data sources. OBJECTIVE: The study objective was to examine the reproducibility of individual‐level medical cost using both MCBS data sources: adjusted survey and claims data. METHODS: This serial cross‐sectional study design analyzed 2006–2012 MCBS data. The sample included noninstitutionalized older Medicare beneficiaries (≥65 years old), with a cancer diagnosis and annually enrolled in Medicare Parts A, B, and D. The population was stratified by diabetes diagnosis. The primary outcome was annual medical cost. We investigated the discrepancies of medical cost estimated from the adjusted survey and original claims data. The agreement between cost estimates from the two sources in each year was determined using the Wilcoxon signed‐rank test. RESULTS: A total of 4918 eligible Medicare beneficiaries were included in this study, and 26% of beneficiaries also had diabetes (N = 1275). Significant disagreements in cost estimates between adjusted survey and claims data were present regardless of disease complexity (with or without diabetes). Significant disagreements in medical cost estimates were present in most years, except in 2010 (p = 0.467) and 2011 (p = 0.098), for beneficiaries with cancer and diabetes (p < 0.001 for all). Significant disagreements in medical cost estimates were present in all years for beneficiaries with cancer without diabetes (p < 0.001 for all). CONCLUSIONS: Based on discrepant cost estimates across data sources, researchers using MCBS to estimate costs should be cautious when using claims or adjusted survey data alone. John Wiley and Sons Inc. 2023-04-13 /pmc/articles/PMC10102707/ /pubmed/37064308 http://dx.doi.org/10.1002/hsr2.1193 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Methods Articles Chou, Chiahung McDaniel, Cassidi C. Lai, Tim C. McDonald, Courtney P. Rockwell, Devan Loh, Feng‐Hua Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey |
title | Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey |
title_full | Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey |
title_fullStr | Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey |
title_full_unstemmed | Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey |
title_short | Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey |
title_sort | reproducibility of the medical cost estimation from the medicare current beneficiary survey: comparing claims and survey |
topic | Methods Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102707/ https://www.ncbi.nlm.nih.gov/pubmed/37064308 http://dx.doi.org/10.1002/hsr2.1193 |
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