Evidence map›Paper›PMID 42090057›Full record

ArticleHealth economics review2026

Who wants to pay more taxes for better long-term care services: evidence from OECD surveys.

Sylvain Botteron, Christophe Courbage, Joël Wagner

Abstract read
In one paragraph

Article in Health economics review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sylvain BotteronDepartment of Actuarial Science, Faculty of Business and Economics (HEC Lausanne), University of Lausanne, Lausanne, Switzerland.
Christophe CourbageGeneva School of Business Administration (HES-SO), Geneva, Switzerland. christophe.courbage@hesge.ch.
Joël WagnerDepartment of Actuarial Science, Faculty of Business and Economics (HEC Lausanne), University of Lausanne & Swiss Finance Institute, University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examines the factors influencing individuals' willingness to pay higher taxes to support long-term care (LTC) services, a pressing issue as aging populations drive rising LTC demand and public spending.

methodsWe use data from the 2020 and 2022 waves of the OECD's "Risk that Matter" survey, a cross-national survey examining people's perceptions of the social and economic risks they face. We employ generalized linear mixed-effects models configured as logistic regression models, including country-level random intercepts and country-level covariates. We also conduct standard logit regressions for individual countries to analyze local nuances further.

resultsThe findings reveal that higher income, older age, female gender, left-leaning political orientation, and caregiving responsibilities significantly increase the likelihood of willingness to pay for improved LTC services. At the country level, greater LTC spending as a share of GDP, higher trust in government, and policies offering cash benefits to carers also play a significant role.

conclusionsOverall, the results indicate strong support for additional LTC funding among sizeable demographic groups, especially older respondents and those in higher-income groups. At the same time, political orientation and certain socio-demographic characteristics are associated with differences in support. These findings are relevant for policymakers considering reforms to improve the provision of LTC services.

Indexed as

Long-term careSocial contributionsTaxesWillingness to pay

Identifiers

PMID42090057
PMCPMC13312778

What OpenQuestion holds

Textmetadata
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.