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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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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. |
format | Online Article Text |
id | pubmed-10119243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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