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What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age
BACKGROUND: High and increasing spending dominates the public discussion on healthcare in Switzerland. However, the drivers of the spending increase are poorly understood. This study decomposes health care spending by diseases and other perspectives and estimates the contribution of single cost driv...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598929/ https://www.ncbi.nlm.nih.gov/pubmed/37880733 http://dx.doi.org/10.1186/s12913-023-10124-3 |
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author | Stucki, Michael Schärer, Xavier Trottmann, Maria Scholz-Odermatt, Stefan Wieser, Simon |
author_facet | Stucki, Michael Schärer, Xavier Trottmann, Maria Scholz-Odermatt, Stefan Wieser, Simon |
author_sort | Stucki, Michael |
collection | PubMed |
description | BACKGROUND: High and increasing spending dominates the public discussion on healthcare in Switzerland. However, the drivers of the spending increase are poorly understood. This study decomposes health care spending by diseases and other perspectives and estimates the contribution of single cost drivers to overall healthcare spending growth in Switzerland between 2012 and 2017. METHODS: We decompose total healthcare spending according to National Health Accounts by 48 major diseases, injuries, and other conditions, 20 health services, 21 age groups, and sex of patients. This decomposition is based on micro-data from a multitude of data sources such as the hospital inpatient registry, health and accident insurance claims data, and population surveys. We identify the contribution of four main drivers of spending: population growth, change in population structure (age/sex distribution), changes in disease prevalence, and changes in spending per prevalent patient. RESULTS: Mental disorders were the most expensive major disease group in both 2012 and 2017, followed by musculoskeletal disorders and neurological disorders. Total health care spending increased by 19.7% between 2012 and 2017. An increase in spending per prevalent patient was the most important spending driver (43.5% of total increase), followed by changes in population size (29.8%), in population structure (14.5%), and in disease prevalence (12.2%). CONCLUSIONS: A large part of the recent health care spending growth in Switzerland was associated with increases in spending per patient. This may indicate an increase in the treatment intensity. Future research should show if the spending increases were cost-effective. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10124-3. |
format | Online Article Text |
id | pubmed-10598929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105989292023-10-26 What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age Stucki, Michael Schärer, Xavier Trottmann, Maria Scholz-Odermatt, Stefan Wieser, Simon BMC Health Serv Res Research BACKGROUND: High and increasing spending dominates the public discussion on healthcare in Switzerland. However, the drivers of the spending increase are poorly understood. This study decomposes health care spending by diseases and other perspectives and estimates the contribution of single cost drivers to overall healthcare spending growth in Switzerland between 2012 and 2017. METHODS: We decompose total healthcare spending according to National Health Accounts by 48 major diseases, injuries, and other conditions, 20 health services, 21 age groups, and sex of patients. This decomposition is based on micro-data from a multitude of data sources such as the hospital inpatient registry, health and accident insurance claims data, and population surveys. We identify the contribution of four main drivers of spending: population growth, change in population structure (age/sex distribution), changes in disease prevalence, and changes in spending per prevalent patient. RESULTS: Mental disorders were the most expensive major disease group in both 2012 and 2017, followed by musculoskeletal disorders and neurological disorders. Total health care spending increased by 19.7% between 2012 and 2017. An increase in spending per prevalent patient was the most important spending driver (43.5% of total increase), followed by changes in population size (29.8%), in population structure (14.5%), and in disease prevalence (12.2%). CONCLUSIONS: A large part of the recent health care spending growth in Switzerland was associated with increases in spending per patient. This may indicate an increase in the treatment intensity. Future research should show if the spending increases were cost-effective. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-10124-3. BioMed Central 2023-10-25 /pmc/articles/PMC10598929/ /pubmed/37880733 http://dx.doi.org/10.1186/s12913-023-10124-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Stucki, Michael Schärer, Xavier Trottmann, Maria Scholz-Odermatt, Stefan Wieser, Simon What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age |
title | What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age |
title_full | What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age |
title_fullStr | What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age |
title_full_unstemmed | What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age |
title_short | What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age |
title_sort | what drives health care spending in switzerland? findings from a decomposition by disease, health service, sex, and age |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598929/ https://www.ncbi.nlm.nih.gov/pubmed/37880733 http://dx.doi.org/10.1186/s12913-023-10124-3 |
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