Evidence map›Paper›PMID 40652199›Full record

ArticleBMC health services research2025

The impact of ageing, socio-economic differences and the evolution of morbidity on future health expenditure - a dynamic microsimulation.

Thomas Horvath, Thomas Leoni, Peter Reschenhofer, Martin Spielauer

Abstract read
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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

4 authors.

Thomas HorvathAustrian Institute of Economic Research (WIFO), Arsenal Objekt 20, Vienna, 1030, Austria.
Thomas LeoniUniversity of Applied Sciences Wiener Neustadt (FHWN), Schlögelgasse 22-26, Wiener Neustadt, 2700, Austria. Thomas.Leoni@fhwn.ac.at.
Peter ReschenhoferAustrian Institute of Economic Research (WIFO), Arsenal Objekt 20, Vienna, 1030, Austria.
Martin SpielauerAustrian Institute of Economic Research (WIFO), Arsenal Objekt 20, Vienna, 1030, Austria.

Funding

Austrian Federation of Social Insurance (partial funding) Research project nr. 5519
6 · The paper itself

Abstract

backgroundPopulation ageing is associated with rising healthcare expenditure. To inform policy and adapt health systems accordingly, a detailed quantitative analysis of the different components of ageing and other factors that influence cost dynamics is needed.

methodsWe use dynamic microsimulation to project healthcare expenditure in Austria and disentangle the effects of changes in longevity, population age-structure, healthy life years and socio-economic health disparities. By combining price weights for healthcare services with information on healthcare consumption from the Austrian Health Interview Survey, we construct average cost profiles by gender, age, and education. These profiles, aligned with the System of Health Accounts, are integrated into the microDEMS model, along with official population projections, to estimate expenditure scenarios until 2060. We examine the relationship between rising life expectancy and changes in healthy life years and assess the potential impact of closing the gap in costs currently observed between education groups. Total and per-capita cost trajectories are derived and evaluated against two indicators for the size of the labor force to assess economic implications.

resultsIn all scenarios, demographic ageing increases the financial burden on the economically active population, even with morbidity compression. Nearly two-thirds of the projected cost increase stems from declining mortality, while one-third results from age-structure changes. Per-capita costs rise by 26% under a morbidity expansion scenario but could decrease by 5% if lower mortality is accompanied by an extension of healthy life years and a reduction in socio-economic health disparities. In economic terms, costs per working-age person increase by 12% to 48%, depending on the scenario. When adjusting for labor force expansion and the associated economic benefits, the increase ranges between 5% and 39%.

conclusionsRising healthcare expenditure poses a major challenge in an ageing society. However, policies that extend healthy life years and reduce socio-economic disparities offer viable strategies to significantly mitigate the economic impact of ageing.

Indexed as

AgingHealth ExpendituresAdolescentAdultAgedAged, 80 and overAustriaComputer SimulationFemaleHealth Status DisparitiesHumansLife ExpectancyMaleMiddle AgedMorbiditySocioeconomic FactorsAgeingHealthcare expenditureMicrosimulationProjections

Identifiers

PMID40652199
PMCPMC12255068

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LicenceCC BY-NC-ND
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Registered trials

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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.