Evidence map›Paper›PMID 40047150›Full record

ArticleHealth economics2025

Do Physicians Respond to Additional Capitation Payments in Mixed Remuneration Schemes?

Line Planck Kongstad, Nicolai Damslund, Jens Søndergaard, Geir Godager, Kim Rose Olsen

Abstract read
In one paragraph

Article in Health economics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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

5 authors.

Line Planck KongstadDepartment of Public Health, DaCHE, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-9625-5870
Nicolai DamslundDepartment of Public Health, DaCHE, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-4649-3109
Jens SøndergaardDepartment of Public Health, Research Unit for General Practice, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-1629-1864
Geir GodagerDepartment of Health Management and Health Economics, University of Oslo, Oslo, Norway.ORCID 0000-0001-5951-0118
Kim Rose OlsenDepartment of Public Health, DaCHE, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-0473-4736

Funding

Norges Forskningsråd 288592Novo Nordisk Fonden NNF18OC0033978
6 · The paper itself

Abstract

Mixed remuneration schemes with capitation and fee-for-service (FFS) payments hold financial incentives to add patients to the list and provide services to listed patients. However, as patients with complex needs tend to require longer consultations there is a risk of inequality in access if fees are not adjusted to patient characteristics. In this paper, we assess a natural experiment introducing additional capitation for GPs with a high share of complex patients (moderate scheme) and for GPs in certain geographical areas (intensive scheme). GPs are eligible if the complexity of their listed patients exceeds a threshold, but as the scheme is subject to a national budget constraint, some eligible general practitioners (GPs) are left without additional payment. For the most favored GPs, the reform distributed additional capitation at 8% of the total baseline income. We study the effects on the number of patients per GP and the number of services per patient, applying difference-in-difference (DiD) models. For both schemes (moderate and intensive), we find tendencies of reductions in the number of patients served and the level of service provision per patient. This also holds for complex patients indicating that the reform did not improve equity in access. The effect on income showed a 2.5% increase in the first follow-up year but the effect became insignificant in the second year after the reform. We interpret this result as a sign that GPs trade income increases with leisure as suggested by the target income hypothesis.

Indexed as

Capitation FeeFee-for-Service PlansGeneral PractitionersRemunerationFemaleHumansMaleincome target hypothesisphysician incentivesphysician remuneration

Identifiers

PMID40047150
PMCPMC12045764

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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.