Evidence map›Paper›PMID 41430743›Full record

ReviewResearch involvement and engagement2025

What approaches are used to facilitate people from under-served communities getting involved with health research? A public contributor led review.

Arooj Butt, Angeli Vaid, Rachel Taylor, Julie L Darbyshire

Abstract readReview
In one paragraph

Review in Research involvement and engagement, 2025. 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

4 authors.

Arooj ButtOxford Biomedical Research Centre Diversity in Research Group, Oxford, UK.
Angeli VaidOxford Biomedical Research Centre Diversity in Research Group, Oxford, UK.
Rachel TaylorOxford Biomedical Research Centre, Oxford, UK.
Julie L DarbyshireUniversity College London, London, UK. julie.darbyshire@ucl.ac.uk.

Funding

National Institute for Health and Care Research NIHR-BRC-1215-20008
6 · The paper itself

Abstract

Evidence indicates that people from under-served groups are likely to bear the greatest burden of ill-health but are often not included in research involvement activities. It is a requirement of funders (i.e. NIHR) for research funding applications to demonstrate that inclusive patient and public involvement (PPI) has supported the application and is embedded throughout the project. This review was led by PPI contributors from the NIHR Oxford and Oxford Health Biomedical Research Centres' Diversity in Research Group (DiR Group). Group members are from under-served communities and the Group exists to support researchers to make their research more inclusive. The PPI contributor authors were trained in reviewing methods and worked on all aspects of this project. We followed a standard approach to literature searching and in June 2022 identified eight papers from the UK relevant to our topic. An additional ten papers were identified from a repeated search in May 2024. From these publications we found three key themes that are important for successful PPI with under-served groups: Population (people relevant to the research are involved); Relationship Building (between researchers and PPI contributors); Practicalities (payment, venues and activities). We found that the approaches in the literature reflected the UK Standards for Public Involvement, "Inclusive Opportunities" although, in general, authors did not directly reference the standards. We have also demonstrated that PPI contributors can have a direct role in conducting research activities when given appropriate training and support.

Identifiers

PMID41430743
PMCPMC12720435

What OpenQuestion holds

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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.