Evidence map›Paper›PMID 42410494›Full record

ArticleResearch involvement and engagement2026

Embedding the public voice in clinical trials: developing public-informed training for patient data research.

Fiona V Lugg-Widger, Caroline Brocklehurst, Sarah Chave, Linda Farey, Araya Gautam, Edward Goodall, Michelle Abhayawardena Goonasekera, Daniel Iheanacho, Rashmi Kumar, Joanne Lloyd and 14 more

Abstract read
In one paragraph

Article in Research involvement and engagement, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

24 authors.

Fiona V Lugg-WidgerCentre for Trials Research, Cardiff University, Cardiff, UK. luggfv@cardiff.ac.uk.
Caroline BrocklehurstHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Sarah ChaveHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Linda FareyHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Araya GautamHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Edward GoodallHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Michelle Abhayawardena GoonasekeraOxford Population Health, University of Oxford, Oxford, UK.
Daniel IheanachoOxford Population Health, University of Oxford, Oxford, UK.
Rashmi KumarHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Joanne LloydHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Isla MackenzieMEMO Research, School of Medicine, University of Dundee, Dundee, UK.
Marion MafhamOxford Population Health, University of Oxford, Oxford, UK.
Clara Martins de BarrosHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Elizabeth McCallHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Stephen T MooreHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Kim MunneryCentre for Trials Research, Cardiff University, Cardiff, UK.
Macey MurrayMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK.
Nicholas PittOxford Population Health, University of Oxford, Oxford, UK.
Yasmin RahmanHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Sarah RawlinsonCentre for Trials Research, Cardiff University, Cardiff, UK.
Michael RoblingCentre for Trials Research, Cardiff University, Cardiff, UK.
Amy RogersMEMO Research, School of Medicine, University of Dundee, Dundee, UK.
Kamil SterniczukHDR UK Transforming Data for Trials Public Advisory Group, London, UK.
Robert TrubeyCentre for Trials Research, Cardiff University, Cardiff, UK.

Funding

Health Data Research UK HDRUK2023.0025
6 · The paper itself

Abstract

backgroundThe use of health systems data (HSD) such as patient records and prescriptions is expanding within clinical trials to improve efficiency, reduce participant burden, and enhance real‑world relevance. However, challenges remain around governance, data quality, transparency and public trust, echoed through discussions in this project. While Patient and Public Involvement and Engagement is increasingly embedded in trial design, involvement in methodological and data‑focused areas remains limited. Ensuring that HSD trial training for researchers and public reflects public perspectives is therefore important.

methodsThis work was conducted within HDR UK's Transforming Data for Trials programme. A Participatory Health Research (PHR) approach was used to develop training resources for the HDR UK Futures online learning platform. A UK‑wide Public Advisory Group (PAG) was recruited through national involvement networks. Engagement took place through virtual full-PAG and small-working‑group meetings. PAG members were involved in identifying priorities, shaping content, reviewing materials and recording videos. Two case studies illustrate different approaches to involvement: co‑production throughout development of a public‑facing module and consultative input to a researcher‑focused module.

resultsThe PAG comprised 25 members with diverse geographical and experiential backgrounds. Case Study 1: members helped develop eight short videos for public partners. They influenced topic selection, tone, language and accessibility of scripts; six members also participated in filming. Their input led to clearer explanations of topics including data governance, consent and trust, with content presented in plain English and modular formats. Case Study 2: PAG members provided feedback on a technical training module on Data Utility Comparison Studies which compare the usefulness of different data sources. Their feedback highlighted concerns about data accuracy, transparency and potential equity implications, prompting refinements to the framing and examples used within the module. DISCUSSION: Co‑production supported the development of accessible resources for public research partners, while consultative input helped ensure researcher‑focused training addressed issues relevant to public trust and accountability. These approaches demonstrate how public perspectives can strengthen training related to HSD trial methodology.

conclusionEmbedding public perspectives in HSD training development could enhance relevance, accessibility and trust. This work provides a practical model for involving public contributors in methodological training within trials.

Indexed as

Capacity buildingClinical trialsCo-productionHealth systems dataImpact of public involvementParticipatory health researchPatient and public involvement

Identifiers

PMID42410494
PMCPMC13340358

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.