Evidence map›Paper›PMID 39357904›Full record

ArticleBJGP open2025

Exploring the equity of distribution of general medical services funding allocations in Wales: a time-series analysis.

Jonny Currie, Kathrin Thomas, Anne M Cunningham, Kerry Bailey, Haroon Ahmed, Daniel Farewell, Sally Lewis

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Article in BJGP open, 2025. 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
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Jonny CurrieDivision of Population Medicine, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0003-1563-9854
Kathrin ThomasDivision of Population Medicine, Cardiff University, Cardiff, UK.
Anne M CunninghamDepartment of Health, Belfast, Northern Ireland.
Kerry BaileyPrimary Care Division, Public Health Wales, Cardiff, UK.
Haroon AhmedDivision of Population Medicine, Cardiff University, Cardiff, UK Ahmedh2@cardiff.ac.uk.
Daniel FarewellDivision of Population Medicine, Cardiff University, Cardiff, UK.
Sally LewisValue in Health, NHS Wales, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGood access to quality primary care in high-income countries can improve population health. Access to primary care is, however, often not equal among socioeconomic groups; our analysis sought to explore whether funding, a determinant of service supply, is equitably distributed among GP practices in Wales.

aimTo explore the relationship between funding and deprivation among GP practices in Wales, to understand the equity of current funding policies. DESIGN &

settingA time-series analysis was undertaken in the primary care setting in Wales.

methodWe obtained funding data for general practices in Wales between 2014 and 2022, and explored the equity of distribution using the percentage of practice patients living in the 20% most deprived small areas in Wales. We generated a linear regression model exploring the relationship between practice funding and deprivation, with an interaction term with time in years.

resultsPractice funding rose for all practices between 2014 and 2022. Practice deprivation and time in years were both associated with practice funding, with increases in practice deprivation associated with reduced funding allocations, and time being associated with a small increase in funding over the study period. Over the period of analysis of 2014-2022, for every 10% increase in patients living in the most deprived lower layer super output areas, funding per patient decreased on average by 1%.

conclusionGeneral practices in Wales in more deprived areas receive discernibly less funding per patient than those in less deprived areas. Given the potential and likelihood primary care can affect population health outcomes, this underinvestment may be contributing to existing health inequalities and requires urgent further analysis and action.

Indexed as

health inequitiesinequalitiesprimary health carestatisticsWales

Identifiers

PMID39357904
PMCPMC12137987

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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.