Evidence map›Paper›PMID 37880733›Full record

ArticleBMC health services research2023

What drives health care spending in Switzerland? Findings from a decomposition by disease, health service, sex, and age.

Michael Stucki, Xavier Schärer, Maria Trottmann, Stefan Scholz-Odermatt, Simon Wieser

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Michael StuckiZHAW Zurich University of Applied Sciences, Winterthur Institute of Health Economics, Gertrudstrasse 8, Winterthur, 8401, Switzerland. stcc@zhaw.ch.ORCID https://orcid.org/0000-0002-2595-1238
Xavier SchärerZHAW Zurich University of Applied Sciences, Winterthur Institute of Health Economics, Gertrudstrasse 8, Winterthur, 8401, Switzerland.
Maria TrottmannSWICA Health Care Organisation CH, Winterthur, Switzerland.
Stefan Scholz-OdermattSuva Swiss National Accident Insurance Fund, Lucerne, Switzerland.
Simon WieserZHAW Zurich University of Applied Sciences, Winterthur Institute of Health Economics, Gertrudstrasse 8, Winterthur, 8401, Switzerland.
ZHAW Zurich University of Applied Sciences · CHSuva · CHUniversity of Lucerne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh 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.

methodsWe 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.

resultsMental 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%).

conclusionsA 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.

Indexed as

Delivery of Health CareHealth ExpendituresAge DistributionHealth ServicesHumansSwitzerlandCost-of-illnessHealth care spendingSpending decompositionSpending growthSwitzerland

Identifiers

PMID37880733
PMCPMC10598929
OpenAlexW4387939486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.