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Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data

BACKGROUND AND OBJECTIVE: Despite the importance of medication adherence for chronically ill patients and the vast literature on its relationship to costs, this field suffers from methodological limitations. These are caused, amongst others, by the lack of generalizability of data sources, varying d...

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Autores principales: Wendl, Johannes, Simon, Andreas, Kistler, Martin, Hapfelmeier, Jana, Schneider, Antonius, Hapfelmeier, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119243/
https://www.ncbi.nlm.nih.gov/pubmed/36933181
http://dx.doi.org/10.1007/s40258-023-00797-6
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author Wendl, Johannes
Simon, Andreas
Kistler, Martin
Hapfelmeier, Jana
Schneider, Antonius
Hapfelmeier, Alexander
author_facet Wendl, Johannes
Simon, Andreas
Kistler, Martin
Hapfelmeier, Jana
Schneider, Antonius
Hapfelmeier, Alexander
author_sort Wendl, Johannes
collection PubMed
description BACKGROUND AND OBJECTIVE: Despite the importance of medication adherence for chronically ill patients and the vast literature on its relationship to costs, this field suffers from methodological limitations. These are caused, amongst others, by the lack of generalizability of data sources, varying definitions of adherence, costs, and model specification. We aim to address this with different modeling approaches and to contribute evidence on the research question. METHODS: We extracted large cohorts of nine chronic diseases (n = 6747–402,898) from German claims data of stationary health insurances between 2012 and 2015 (t0–t3). Defined as the proportion of days covered by medication, we examined the relationship of adherence using several multiple regression models at baseline year t0 with annual total healthcare costs and four sub-categories. Models with concurrent, and differently time-lagged measurements of adherence and costs were compared. Exploratively, we applied non-linear models. RESULTS: Overall, we found a positive association between the proportion of days covered by medication and total costs, a weak association with outpatient costs, positive with pharmacy costs, and frequently negative with inpatient costs. There were major differences by disease and its severity but little between years, provided adherence and costs were not measured concurrently. The fit of linear models was mainly not inferior to that of non-linear models. CONCLUSIONS: The estimated effect on total costs differed from most other studies, which highlights concerns about generalizability, although effect estimates in sub-categories were as expected. Comparison of time lags indicates the importance of avoiding concurrent measurement. A non-linear relationship should be considered. These methodological approaches are valuable in future research on adherence and its consequences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40258-023-00797-6.
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spelling pubmed-101192432023-04-22 Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data Wendl, Johannes Simon, Andreas Kistler, Martin Hapfelmeier, Jana Schneider, Antonius Hapfelmeier, Alexander Appl Health Econ Health Policy Original Research Article BACKGROUND AND OBJECTIVE: Despite the importance of medication adherence for chronically ill patients and the vast literature on its relationship to costs, this field suffers from methodological limitations. These are caused, amongst others, by the lack of generalizability of data sources, varying definitions of adherence, costs, and model specification. We aim to address this with different modeling approaches and to contribute evidence on the research question. METHODS: We extracted large cohorts of nine chronic diseases (n = 6747–402,898) from German claims data of stationary health insurances between 2012 and 2015 (t0–t3). Defined as the proportion of days covered by medication, we examined the relationship of adherence using several multiple regression models at baseline year t0 with annual total healthcare costs and four sub-categories. Models with concurrent, and differently time-lagged measurements of adherence and costs were compared. Exploratively, we applied non-linear models. RESULTS: Overall, we found a positive association between the proportion of days covered by medication and total costs, a weak association with outpatient costs, positive with pharmacy costs, and frequently negative with inpatient costs. There were major differences by disease and its severity but little between years, provided adherence and costs were not measured concurrently. The fit of linear models was mainly not inferior to that of non-linear models. CONCLUSIONS: The estimated effect on total costs differed from most other studies, which highlights concerns about generalizability, although effect estimates in sub-categories were as expected. Comparison of time lags indicates the importance of avoiding concurrent measurement. A non-linear relationship should be considered. These methodological approaches are valuable in future research on adherence and its consequences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40258-023-00797-6. Springer International Publishing 2023-03-18 2023 /pmc/articles/PMC10119243/ /pubmed/36933181 http://dx.doi.org/10.1007/s40258-023-00797-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Wendl, Johannes
Simon, Andreas
Kistler, Martin
Hapfelmeier, Jana
Schneider, Antonius
Hapfelmeier, Alexander
Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data
title Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data
title_full Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data
title_fullStr Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data
title_full_unstemmed Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data
title_short Medication Adherence and Healthcare Costs in Chronically Ill Patients Using German Claims Data
title_sort medication adherence and healthcare costs in chronically ill patients using german claims data
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119243/
https://www.ncbi.nlm.nih.gov/pubmed/36933181
http://dx.doi.org/10.1007/s40258-023-00797-6
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