Evidence map›Paper›PMID 34723113›Full record

ArticleInternational journal of community well-being2022

Community-Enhanced Social Prescribing: Integrating Community in Policy and Practice.

David Morris, Paul Thomas, Julie Ridley, Martin Webber

Open access · hybridAbstract read
In one paragraph

Article in International journal of community well-being, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
11.9field-weighted citation impact, top 2% of its field
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

16 citing papers in PubMed, 33 citations in OpenAlex.

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  10. Implementation and impact of a social prescribing intervention: an ethnographic exploration.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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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

4 authors at 3 institutions in 1 country.

David MorrisCentre for Citizenship and Community, University of Central Lancashire, Preston, UK.ORCID 0000-0001-7372-8084
Paul ThomasUniversity of West London, London, UK.
Julie RidleyCentre for Citizenship and Community, University of Central Lancashire, Preston, UK.
Martin WebberInternational Centre for Mental Health Social Research, Department of Social Policy and Social Work, University of York, York, UK.
University of Lancashire · GBCentre for Mental Health · GBUniversity of West London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The NHS Plan is introducing social prescribing link workers into GP surgeries in England. The link workers connect people to non-health resources in the community and voluntary sector, with the aim of meeting individual needs beyond the capacity of the NHS. Social prescribing models focus on enhancing individual wellbeing, guided by the policy of universal personalised care. However, they largely neglect the capacity of communities to meet individual need, particularly in the wake of a decade of austerity. We propose a model of community enhanced social prescribing (CESP) which has the potential to improve both individual and community wellbeing. CESP combines two evidence-informed models - Connected Communities and Connecting People - to address both community capacity and individual need. CESP requires a literacy of community which recognises the importance of communities to individuals and the importance of engaging with, and investing in, communities. When fully implemented the theory of change for CESP is hypothesised to improve both individual and community wellbeing.

Indexed as

CitizenshipCommunityConnected communitiesConnecting peopleSocial prescribingWellbeing

Identifiers

PMID34723113
PMCPMC7709807
OpenAlexW3110551983

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.