Evidence map›Paper›PMID 38166766›Full record

ArticleBMC public health2024

A qualitative synthesis of practice-based learning from case studies on COVID community champion programmes in England, UK.

Jane South, James Woodall, Jude Stansfield, Tom Mapplethorpe, Andrew Passey, Anne-Marie Bagnall

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
9.3field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  5. Consensus on Care Competencies for Community Citizens in Japan: A Modified Delphi Study.International journal of environmental research and public health · 2025
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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

6 authors at 2 institutions in 1 country.

Jane SouthSchool of Health, Centre for Health Promotion Research, Leeds Beckett University, Calverley Building, Portland Place, Leeds, LS1 3HE, UK. j.south@leedsbeckett.ac.uk.
James WoodallSchool of Health, Centre for Health Promotion Research, Leeds Beckett University, Calverley Building, Portland Place, Leeds, LS1 3HE, UK.
Jude StansfieldSchool of Health, Centre for Health Promotion Research, Leeds Beckett University, Calverley Building, Portland Place, Leeds, LS1 3HE, UK.
Tom MapplethorpeCorporate Strategy, Commissioning and Public Health, Kirklees Council, Huddersfield, HD1 9EL, UK.
Andrew PasseySchool of Health, Centre for Health Promotion Research, Leeds Beckett University, Calverley Building, Portland Place, Leeds, LS1 3HE, UK.
Anne-Marie BagnallSchool of Health, Centre for Health Promotion Research, Leeds Beckett University, Calverley Building, Portland Place, Leeds, LS1 3HE, UK.
Leeds Beckett University · GBKirklees College · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunity-based volunteering supports outbreak management by extending reach into at-risk communities. This paper examines the application of a 'community champions' model in England, UK, during the COVID-19 pandemic. Evidence pre-pandemic shows that community champion interventions tap into social networks to strengthen connections with disadvantaged communities. During the pandemic, the UK government set up a COVID community champions funding award scheme for local authorities to develop local programmes that addressed emerging inequalities. The study aim was to identify transferable learning on community engagement in the pandemic by undertaking a secondary qualitative synthesis of practice-based case studies of local COVID community champion programmes.

methodsA systematic staged approach for synthesis of practice-based case studies was used. In total, 16 COVID community champion case studies, which were written by practitioners involved in local programme implementation and published by the Local Government Association, were included. Case studies covered aims, programme development and delivery, examples of activities and a discussion of learning. Framework qualitative analysis methods were used to code and organise data prior to cross case analysis. The final stage produced an overarching thematic framework that best represented descriptive and interpretive themes.

resultsThe results provide an overview of common features of COVID community champion programmes and emergent learning. All local programmes aimed to reduce health inequalities by involving at-risk communities in local prevention efforts, adapting the approach to local priorities. Two levels of community engagement were volunteer mobilisation and subsequent community-based outreach activities. Elements of capacity building, such as training and creation of networks, were common. The synthesis of practice-based learning found that stronger relationships with communities were regarded as a key mechanism to support more equitable prevention strategies. Other learning themes related to champion roles, community engagement strategies and programme implementation.

conclusionsBy focusing on how community champion approaches were applied by local authorities in England during the COVID-19 pandemic, this study contributes to knowledge on volunteer mobilisation as a mechanism to improve public health communication and outreach. Notwithstanding the limitations of experiential evidence, the synthesis of practice-based learning highlights potentially transferable community engagement strategies for health protection and health improvement.

Indexed as

COVID-19Disease OutbreaksEnglandHumansPandemicsPublic HealthCase studiesCommunity mobilisationEmpowermentHealth championsPandemicPractice-based evidenceVolunteering

Identifiers

PMID38166766
PMCPMC10759547
OpenAlexW4390500586

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.