Evidence map›Paper›PMID 40012587›Full record

ArticleJournal of pharmaceutical policy and practice2025

Assessing spatial accessibility of community pharmacies in England and Wales using floating catchment area techniques.

Stephen D Clark, Andy Newing

Abstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
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

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

2 authors.

Stephen D ClarkSchool of Geography and Consumer Data Research Centre, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0003-4090-6002
Andy NewingSchool of Geography, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-3222-6640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community pharmacies in England and Wales are taking on a broader range of primary care responsibilities in order to ease pressure on other health services. 'Pharmacy First', launched in 2024, allows patients to access treatment for a range of common conditions directly from a pharmacy without the need to consult a GP. However, funding and workforce pressures have resulted in a number of pharmacy closures in recent years. This study assesses the geographical accessibility of community pharmacies in England and Wales and identifies the impact of these recent closures. Methods: Using open data on pharmacy locations and opening hours this study calculates a Spatial Accessibility Index (SPAI) for access to pharmacies by car in 2022 and 2024. We use a Modified Huff Variable Three Step Floating Catchment Area (MHV3SFCA), a variant of the Floating Catchment Area (FCA) technique. Results: Suburban and rural neighbourhoods tend to have poorer access to community pharmacies, whilst more deprived neighbourhoods generally have comparatively better access. We identify neighbourhoods which could be classed as 'pharmacy deserts', which are primarily located in rural areas. We identify that all neighbourhood area types witness a reduction in overall accessibility to community pharmacies between 2022 and 2024. In total these result in a 10% reduction in the SPAI. Conclusion: The MHV3SFCA applied here is novel in its application to community pharmacy accessibility in a UK context. We demonstrate its utility as a tool to identify the impact of changes to the community pharmacy network on accessibility as experienced by different neighbourhoods. We find evidence of a 'positive pharmacy care law' and also the existence of some 'pharmacy deserts'.

Indexed as

accessibilityEngland and Walesfloating catchmentsPharmacies

Identifiers

PMID40012587
PMCPMC11864020

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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.