Evidence map›Paper›PMID 40050984›Full record

ArticleResearch involvement and engagement2025

Exploring the implementation of a data trust committee: a qualitative evaluation of processes and practices.

Syka Iqbal, Sophie Moniz, Fiona Bennin, German Alarcon Garavito, Rosaline de Koning, Rosamund Yu, Cecilia Vindrola-Padros

Abstract read
In one paragraph

Article 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

7 authors.

Syka IqbalRapid Research Evaluation and Appraisal Lab (RREAL), Department of Targeted Intervention, University College London, London, UK.ORCID http://orcid.org/0000-0001-5292-5871
Sophie MonizRapid Research Evaluation and Appraisal Lab (RREAL), Department of Targeted Intervention, University College London, London, UK.ORCID http://orcid.org/0000-0002-1594-7323
Fiona BenninRapid Research Evaluation and Appraisal Lab (RREAL), Department of Targeted Intervention, University College London, London, UK.ORCID http://orcid.org/0009-0000-6738-0544
German Alarcon GaravitoRapid Research Evaluation and Appraisal Lab (RREAL), Department of Targeted Intervention, University College London, London, UK.ORCID http://orcid.org/0000-0002-2856-4356
Rosaline de KoningDepartment of Targeted Intervention, University College London, London, UK.ORCID http://orcid.org/0000-0002-6349-2220
Rosamund YuNIHR biomedical Research Centre, University College London Hospital (UCLH) NHS Foundation Trust, London, UK.
Cecilia Vindrola-PadrosRapid Research Evaluation and Appraisal Lab (RREAL), Department of Targeted Intervention, University College London, London, UK. c.vindrola@ucl.ac.uk.ORCID http://orcid.org/0000-0001-7859-1646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere's a significant demand to link and analyse administrative and routine local hospital data for health research to improve treatments and understand disease and diagnosis. Involving patients and members of the public in how data are accessed for service improvement is crucial for developing an acceptable, ethical and information governance-compliant whole system data linkage. A key challenge is ensuring sustainable and genuine public engagement that fosters trust in data use. This study evaluates the early implementation of a Data Trust Committee (DTC) at a London hospital, assessing its impact on research efficiency and the experiences of key stakeholders, including patients, staff and researchers.

methodsA rapid qualitative evaluation was conducted using semi-structured to assess the implementation and perceived impact of the DTC. Purposive sampling targeted DTC members (n = 8), attendees (n = 3), and researchers (n = 2). Thematic analysis, supported by RREAL sheets, identified key themes in stakeholders' experiences and perceptions.

resultsFindings highlighted five key areas: (1) the programme theory, outlining the DTC's role in data governance and responsible data access; (2) varying stakeholder perceptions of the DTC's purpose and decision-making processes; (3) The DTC's impact on research oversight, data access and approval processes; (4) challenges related to role clarification and communication; (5) the perceived effectiveness of the DTC in enhancing data quality, research oversight and approval speed. While participants recognised the DTC's potential to enhance data quality and prioritising patient experiences, challenges related to the speed of applications, communication gaps, and technology barriers were identified.

conclusionThe DTC played a pivotal role in reshaping research regulatory processes, and how this may benefit patients. However, balancing ethical risks with patient benefits remains an ongoing challenge. Addressing role clarity, communication strategies, and stakeholder engagement is essential for optimising future DTC implementation. Future research should expand to evaluate DTC models across diverse healthcare settings to enhance data sharing frameworks.

Indexed as

Data transparencyPublic involvement and governanceRapid qualitative evaluationSecondary data usage

Identifiers

PMID40050984
PMCPMC11887347

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Registered trials

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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.