Evidence map›Paper›PMID 42103385›Full record

ArticleBMJ open2026

Can social prescribing intervention reduce unplanned hospital usage in an ethnically diverse and deprived population: a quasi-experimental study using a dynamic staggered difference-in-differences approach.

Bo Hou, Rachael H Moss, Mohammed Hammad, Sohail Abbas, Michael McCooe, John Wright, John Wildman, Trevor Sheldon, Josie Dickerson

Abstract read
In one paragraph

Article in BMJ open, 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

9 authors.

Bo HouBorn in Bradford, Bradford Institute for Health Research, Bradford, UK.
Rachael H MossBorn in Bradford, Bradford Institute for Health Research, Bradford, UK Rachael.baum@bthft.nhs.uk.ORCID http://orcid.org/0000-0002-3015-7768
Mohammed HammadBorn in Bradford, Bradford Institute for Health Research, Bradford, UK.
Sohail AbbasWhite Rose House, NHS West Yorkshire Integrated Care Board, Wakefield, UK.
Michael McCooeBorn in Bradford, Bradford Institute for Health Research, Bradford, UK.
John WrightBorn in Bradford, Bradford Institute for Health Research, Bradford, UK.ORCID http://orcid.org/0000-0001-9572-7293
John WildmanEconomics, Newcastle University Business School, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK.
Trevor SheldonBorn in Bradford, Bradford Institute for Health Research, Bradford, UK.ORCID http://orcid.org/0000-0002-7479-5913
Josie DickersonBorn in Bradford, Bradford Institute for Health Research, Bradford, UK.ORCID http://orcid.org/0000-0003-0121-3406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the impact of a social prescribing intervention (the Central Locality Integrated Care Service (CLICS)) on unplanned hospital usage in the city of Bradford.

designA quasi-experimental study applying a dynamic staggered difference-in-differences (DID) analysis on a propensity matched cohort between 2019 and 2023, using data from the Connected Bradford dataset, a pseudonymised linked health dataset on the whole Bradford population.

settingCLICS was delivered within general practices in deprived and ethnically diverse inner-city areas of Bradford, Yorkshire, UK.

participantsIn total, 1304 CLICS patients were matched to 5216 control patients on key characteristics including ethnicity, deprivation, age, gender and health conditions.

interventionsA proactive social prescribing intervention that integrates clinical and non-clinical services, including an individualised approach to tailor support based on the patient's needs, both within primary care services and by linking them to appropriate community-based assets/services. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the rate of unplanned hospital admissions and the secondary outcome was unplanned accident and emergency (A&E) attendances.

resultsCLICS patients were 2.1% (95% CI -3.8% to -0.4%, p=0.013) less likely to have an unplanned hospital admission and 2.4% (95% CI -4.6% to -0.2%, p=0.03) less likely to have an unplanned A&E attendance compared with the matched control. The DID analysis demonstrated a gradual increase in the association over time. Subanalyses revealed heterogeneity by ethnicity, the reduction in unplanned hospital admissions was observed only in patients of the Pakistani group, whereas the reduction in A&E attendances was statistically significant only in the white British group.

conclusionThe CLICS intervention was associated with a reduction in unplanned hospital usage. Social prescribing may be a valuable component of strategies to reduce health inequalities in unplanned hospital usage.

Indexed as

HospitalizationSocial PrescribingAdultAgedEthnic and Racial MinoritiesFemaleHumansMaleMiddle AgedHospitalizationPublic HospitalsSocial Support

Identifiers

PMID42103385
PMCPMC13157779

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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.