Cargando…

Empirical Assessment of the Impact of Low-Cost Generic Programs on Adherence-Based Quality Measures

In the United States, federally-funded health plans are mandated to measure the quality of care. Adherence-based medication quality metrics depend on completeness of administrative claims data for accurate measurement. Low-cost generic programs (LCGPs) cause medications fills to be missing from clai...

Descripción completa

Detalles Bibliográficos
Autores principales: Pauly, Nathan J., Talbert, Jeffery C., Brown, Joshua D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419384/
https://www.ncbi.nlm.nih.gov/pubmed/28970427
http://dx.doi.org/10.3390/pharmacy5010015
_version_ 1783234219578753024
author Pauly, Nathan J.
Talbert, Jeffery C.
Brown, Joshua D.
author_facet Pauly, Nathan J.
Talbert, Jeffery C.
Brown, Joshua D.
author_sort Pauly, Nathan J.
collection PubMed
description In the United States, federally-funded health plans are mandated to measure the quality of care. Adherence-based medication quality metrics depend on completeness of administrative claims data for accurate measurement. Low-cost generic programs (LCGPs) cause medications fills to be missing from claims data as medications are not adjudicated through a patient’s insurance. This study sought to assess the magnitude of the impact of LCGPs on these quality measures. Data from the 2012–2013 Medical Expenditure Panel Survey (MEPS) were used. Medication fills for select medication classes were classified as LCGP fills and individuals were classified as never, sometimes, and always users of LCGPs. Individuals were classified based on insurance type (private, Medicare, Medicaid, dual-eligible). The proportion of days covered (PDC) was calculated for each medication class and the proportion of users with PDC ≥ 0.80 was reported as an observed metric for what would be calculated based on claims data and a true metric which included missing medication fills due to LCGPs. True measures of adherence were higher than the observed measures. The effect’s magnitude was highest for private insurance and for medication classes utilized more often through LCGPs. Thus, medication-based quality measures may be underestimated due to LCGPs.
format Online
Article
Text
id pubmed-5419384
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-54193842017-09-29 Empirical Assessment of the Impact of Low-Cost Generic Programs on Adherence-Based Quality Measures Pauly, Nathan J. Talbert, Jeffery C. Brown, Joshua D. Pharmacy (Basel) Brief Report In the United States, federally-funded health plans are mandated to measure the quality of care. Adherence-based medication quality metrics depend on completeness of administrative claims data for accurate measurement. Low-cost generic programs (LCGPs) cause medications fills to be missing from claims data as medications are not adjudicated through a patient’s insurance. This study sought to assess the magnitude of the impact of LCGPs on these quality measures. Data from the 2012–2013 Medical Expenditure Panel Survey (MEPS) were used. Medication fills for select medication classes were classified as LCGP fills and individuals were classified as never, sometimes, and always users of LCGPs. Individuals were classified based on insurance type (private, Medicare, Medicaid, dual-eligible). The proportion of days covered (PDC) was calculated for each medication class and the proportion of users with PDC ≥ 0.80 was reported as an observed metric for what would be calculated based on claims data and a true metric which included missing medication fills due to LCGPs. True measures of adherence were higher than the observed measures. The effect’s magnitude was highest for private insurance and for medication classes utilized more often through LCGPs. Thus, medication-based quality measures may be underestimated due to LCGPs. MDPI 2017-03-08 /pmc/articles/PMC5419384/ /pubmed/28970427 http://dx.doi.org/10.3390/pharmacy5010015 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Pauly, Nathan J.
Talbert, Jeffery C.
Brown, Joshua D.
Empirical Assessment of the Impact of Low-Cost Generic Programs on Adherence-Based Quality Measures
title Empirical Assessment of the Impact of Low-Cost Generic Programs on Adherence-Based Quality Measures
title_full Empirical Assessment of the Impact of Low-Cost Generic Programs on Adherence-Based Quality Measures
title_fullStr Empirical Assessment of the Impact of Low-Cost Generic Programs on Adherence-Based Quality Measures
title_full_unstemmed Empirical Assessment of the Impact of Low-Cost Generic Programs on Adherence-Based Quality Measures
title_short Empirical Assessment of the Impact of Low-Cost Generic Programs on Adherence-Based Quality Measures
title_sort empirical assessment of the impact of low-cost generic programs on adherence-based quality measures
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419384/
https://www.ncbi.nlm.nih.gov/pubmed/28970427
http://dx.doi.org/10.3390/pharmacy5010015
work_keys_str_mv AT paulynathanj empiricalassessmentoftheimpactoflowcostgenericprogramsonadherencebasedqualitymeasures
AT talbertjefferyc empiricalassessmentoftheimpactoflowcostgenericprogramsonadherencebasedqualitymeasures
AT brownjoshuad empiricalassessmentoftheimpactoflowcostgenericprogramsonadherencebasedqualitymeasures