Evidence map›Paper›PMID 41853086›Full record

ArticlePublic health in practice (Oxford, England)2026

Payment mechanisms to improve prevention spending in health care settings: A policy-focused evidence brief.

Ian Holdroyd, Adnaan Ghanchi, Amy Dehn Lunn, Patrick Diamond, Sashika Harasgama, Helena Painter, Helen Pearce, Payam Torabi, Alice Vodden, Yan-Ling Wong and 1 more

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Ian HoldroydWolfson Institute for Population Health, Queen Mary University of London, UK.
Adnaan GhanchiDepartment of Public Health and Primary Care, University of Cambridge, UK.
Amy Dehn LunnWolfson Institute for Population Health, Queen Mary University of London, UK.
Patrick DiamondSchool of Politics and International Relations, Queen Mary University of London, UK.
Sashika HarasgamaWolfson Institute for Population Health, Queen Mary University of London, UK.
Helena PainterWolfson Institute for Population Health, Queen Mary University of London, UK.
Helen PearceWolfson Institute for Population Health, Queen Mary University of London, UK.
Payam TorabiThe Aberfeldy Practice, UK.
Alice VoddenUniversity College London Hospitals, NHS Foundation Trust, UK.
Yan-Ling WongInstitute of Health Sciences Education, Queen Mary University of London, UK.
John FordWolfson Institute for Population Health, Queen Mary University of London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The policy challenge: Decades of evidence indicate that preventative healthcare is both effective and value for money in improving population health long-term. However, healthcare organisations often focus on short-term factors. Leveraging funding mechanisms to promote prevention may facilitate higher implementation of prevention initiatives. The most common funding mechanisms include capitation, Fee-for-service (FFS) and Pay-for-performance (P4P). Here, we explore the policy relevant studies which explore payment incentives for improving long-term population health and under which circumstances these incentives should be encouraged. Key evidence to inform policy: There are six key lessons for policy makers from the evidence base of how healthcare funding mechanisms can be best designed to promote long-term prevention: 1) spending on prevention is highly efficient and its beneficial effects are likely underestimated, 2) well-funded capitation models best incentivise preventative healthcare, 3) variable funding mechanisms, such as FFS and P4P, can be beneficial in increasing quantity focused preventative interventions-those with a uniform and straightforward approach, such as immunisation programs, 4) non-payment to hospitals may be effective in encouraging prevention, 5) Social Impact Bonds may facilitate prevention spending whilst mitigating financial risk away from the public sector, but come with complexity, 6) return on-investment tools can improve spending efficiency, but their impact on decision making is unclear. Further considerations and implications: To most effectively incentivise preventative healthcare, capitation payments should be complemented by more variable funding models for specific preventative services. Alternative payment mechanisms, such as Social Impact Bonds and non-payment may have their place. Integrating equity into decision making shows promise in further improving outcomes.

Indexed as

Capitation fundingHealth payment mechanismsPreventative healthcare

Identifiers

PMID41853086
PMCPMC12993149

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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.