SynthesisPrimary health care research & development2025
The impact of primary care funding on health inequalities: an umbrella review.
Synthesis in Primary health care research & development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Payment mechanisms to improve prevention spending in health care settings: A policy-focused evidence brief.Public health in practice (Oxford, England) · 2026Article
- Cost-effectiveness and equity impact of complex primary care interventions for disadvantaged populations.BJGP open · 2026Article
- The impact of primary care funding on health inequalities: an umbrella review - CORRIGENDUM.Primary health care research & development · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe funding of primary care is subject to intense debate internationally. Three main funding models predominate: capitation, pay-for-performance, and fee-for-service. A number of systematic reviews regarding the effect of primary care funding structures have been published, but not synthesized through an equity lens. Given the urgent need for evaluating funding models and addressing inequalities, a reliable, synthesized evidence base concerning the effects of funding on inequalities is imperative.
aimsThis umbrella review aims to systematically evaluate all systematic reviews available on the effect of different primary care funding models in high-income countries on inequalities in funding, access, outcomes, or experience from inception until 2024.
methodsThree databases (MEDLINE, EMBASE, Cochrane) and a machine learning living evidence map were searched. Abstracts and titles were double screened, before two authors independently screened full texts, extracted data, and performed quality assessments utilizing the AMSTAR2 tool.
findingsThe search identified 2480 unique articles, of which 14 were included in the final review. Only one review compared reimbursement systems; capitation systems were more equitable between ethnic groups compared to pay-for-performance in terms of primary care access, continuity, and quality. Twelve reviews reviewed the impact of the introduction of pay-for-performance models, predominantly focusing on the Quality and Outcomes Framework (QOF) in the UK. Synthesized findings suggest that QOF's introduction coincided with reduced socioeconomic health inequalities in the UK overall, but not in Scotland. Overall, inequalities in age narrowed, but inequalities measured by sex widened. One review found evidence that targeting funding for minority groups, with poorer health, was effective. A further review found that introducing privately provided general practices in Sweden and allowing patients to choose these over public-owned options generally benefitted those with higher income and lower health needs. We identify a range of gaps in the literature, which should inform future research.
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Registered trials
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.