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The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use

BACKGROUND: In 2007, the Centers for Medicare & Medicaid Services (CMS) instituted a star rating system using performance outcome measures to assess Medicare Advantage Prescription Drug (MAPD) and Prescription Drug Plan (PDP) providers. OBJECTIVE: To assess the relationship between 2 performance...

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Autores principales: Almodovar, Armando Silva, Axon, David Rhys, Coleman, Ashley M., Warholak, Terri, Nahata, Milap C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Managed Care Pharmacy 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397681/
https://www.ncbi.nlm.nih.gov/pubmed/29694292
http://dx.doi.org/10.18553/jmcp.2018.24.5.416
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author Almodovar, Armando Silva
Axon, David Rhys
Coleman, Ashley M.
Warholak, Terri
Nahata, Milap C.
author_facet Almodovar, Armando Silva
Axon, David Rhys
Coleman, Ashley M.
Warholak, Terri
Nahata, Milap C.
author_sort Almodovar, Armando Silva
collection PubMed
description BACKGROUND: In 2007, the Centers for Medicare & Medicaid Services (CMS) instituted a star rating system using performance outcome measures to assess Medicare Advantage Prescription Drug (MAPD) and Prescription Drug Plan (PDP) providers. OBJECTIVE: To assess the relationship between 2 performance outcome measures for Medicare insurance providers, comprehensive medication reviews (CMRs), and high-risk medication use. METHODS: This cross-sectional study included Medicare Part C and Part D performance data from the 2014 and 2015 calendar years. Performance data were downloaded per Medicare contract from the CMS. We matched Medicare insurance provider performance data with the enrollment data of each contract. Mann Whitney U and Spearman rho tests and a hierarchical linear regression model assessed the relationship between provider characteristics, high-risk medication use, and CMR completion rate outcome measures. RESULTS: In 2014, an inverse correlation between CMR completion rate and high-risk medication use was identified among MAPD plan providers. This relationship was further strengthened in 2015. No correlation was detected between the CMR completion rate and high-risk medication use among PDP plan providers in either year. A multivariate regression found an inverse association with high-risk medication use among MAPD plan providers in comparison with PDP plan providers in 2014 (beta = -0.358, P < 0.001) and 2015 (beta = -0.350, P < 0.001), the CMR completion rate in 2015 (beta = -0.221, P < 0.001), and enrollee population size in 2015 (beta = -0.203, P = 0.001). CONCLUSIONS: This study found that MAPD plan providers and higher CMR completion rates were associated with lower use of high-risk medications among beneficiaries.
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spelling pubmed-103976812023-08-04 The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use Almodovar, Armando Silva Axon, David Rhys Coleman, Ashley M. Warholak, Terri Nahata, Milap C. J Manag Care Spec Pharm Research BACKGROUND: In 2007, the Centers for Medicare & Medicaid Services (CMS) instituted a star rating system using performance outcome measures to assess Medicare Advantage Prescription Drug (MAPD) and Prescription Drug Plan (PDP) providers. OBJECTIVE: To assess the relationship between 2 performance outcome measures for Medicare insurance providers, comprehensive medication reviews (CMRs), and high-risk medication use. METHODS: This cross-sectional study included Medicare Part C and Part D performance data from the 2014 and 2015 calendar years. Performance data were downloaded per Medicare contract from the CMS. We matched Medicare insurance provider performance data with the enrollment data of each contract. Mann Whitney U and Spearman rho tests and a hierarchical linear regression model assessed the relationship between provider characteristics, high-risk medication use, and CMR completion rate outcome measures. RESULTS: In 2014, an inverse correlation between CMR completion rate and high-risk medication use was identified among MAPD plan providers. This relationship was further strengthened in 2015. No correlation was detected between the CMR completion rate and high-risk medication use among PDP plan providers in either year. A multivariate regression found an inverse association with high-risk medication use among MAPD plan providers in comparison with PDP plan providers in 2014 (beta = -0.358, P < 0.001) and 2015 (beta = -0.350, P < 0.001), the CMR completion rate in 2015 (beta = -0.221, P < 0.001), and enrollee population size in 2015 (beta = -0.203, P = 0.001). CONCLUSIONS: This study found that MAPD plan providers and higher CMR completion rates were associated with lower use of high-risk medications among beneficiaries. Academy of Managed Care Pharmacy 2018-05 /pmc/articles/PMC10397681/ /pubmed/29694292 http://dx.doi.org/10.18553/jmcp.2018.24.5.416 Text en Copyright © 2018, Academy of Managed Care Pharmacy. All rights reserved. https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research
Almodovar, Armando Silva
Axon, David Rhys
Coleman, Ashley M.
Warholak, Terri
Nahata, Milap C.
The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use
title The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use
title_full The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use
title_fullStr The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use
title_full_unstemmed The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use
title_short The Effect of Plan Type and Comprehensive Medication Reviews on High-Risk Medication Use
title_sort effect of plan type and comprehensive medication reviews on high-risk medication use
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397681/
https://www.ncbi.nlm.nih.gov/pubmed/29694292
http://dx.doi.org/10.18553/jmcp.2018.24.5.416
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