Evidence map›Paper›PMID 40973380›Full record

ArticleBMJ open2025

What features should an effective system for declaring and managing conflicts of interest in healthcare have? An adapted Delphi study of key stakeholders in the UK.

Margaret McCartney, Katrin Metsis, Kevin Orr, Joseph Millum, Antony Wilkes, Frank Sullivan

Abstract read
In one paragraph

Article in BMJ open, 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

6 authors.

Margaret McCartneyUniversity of St Andrews, St Andrews, UK mm494@st-andrews.ac.uk.ORCID http://orcid.org/0000-0002-7238-6358
Katrin MetsisSchool of Medicine, University of St Andrews, St Andrews, UK.ORCID http://orcid.org/0000-0003-0827-6557
Kevin OrrBusiness School, University of St Andrews, St Andrews, UK.
Joseph MillumDepartment of Philosophy, University of St Andrews, St Andrews, UK.
Antony WilkesFife Community Advisory Council, University of St Andrews, St Andrews, UK.
Frank SullivanUniversity of St Andrews, St Andrews, UK.ORCID http://orcid.org/0000-0002-6623-4964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify views and establish agreements of key stakeholders on the features of an effective system for declaring and managing conflicts of interest in healthcare.

designA modified Delphi study consisting of two surveys and semi-structured interviews. Surveys included closed and free-text questions. SETTING AND

participantsUK, purposefully and generally invited participants including academics, researchers, healthcare professionals, regulators, patients and citizens from 10 countries, during 25 August 2024 and 20 January 2025.

main outcome measuresQuantitative and qualitative analysis of two surveys and 21 interviews. Descriptive statistics were used to describe the sample and analyse closed survey questions. Thematic analysis was used to analyse free-text survey responses and interview data. Results were synthesised to describe the perceived importance and purposes of declaration of interest systems.

resultsIn the first survey round, 616 invitations were sent, along with social media advertisements. 237 questionnaires were returned and 200 full responses were analysable. 129 respondents consented to recontact on the online form. In the interview round, 37 invitations were sent and 21 interviews completed (response rate 59.5%). Invitations for the second survey were sent to all 129 participants who consented to recontact. 91 responses were received and 89 questionnaires were analysable (response rate 82%). Features of ideal systems to declare and manage the interests of healthcare professionals identified by participants were categorised under seven themes: regulatory issues, the healthcare environment, human vices, professional virtues, the use of judgement, features of a better system and patients and public. There was broad agreement on the need for transparency and clarity in declaration systems. The most agreed features were: clarity on what information was needed; it should be a centralised 'deposit' for all declarations; it should be publicly accessible, educating and informing people accessing and using the register. Having a lifelong personal identifier, some flexibility in declarations and some privacy features were also rated highly. Respondents were less concerned about scrutiny or a loss of trust. Small numbers of participants raised concerns about serious adverse effects, including loss of privacy, personal safety and the potential of information to contribute to conspiracy theories. There were also major disagreements between participants concerning whether or not healthcare professionals should work with industry, and whether conflicts of interest from working with industry can be safely managed. Individuals with each perspective felt they were acting ethically.

conclusionsWhile many agreements were identified, disagreements were also found. If improved declaration systems are to be accepted by professionals and useful to regulators, patients and citizens, the potential for benefit and harm from new declaration systems must be addressed. REGISTRATION DETAILS: Prepublished, Open Science Framework https://osf.io/fbj5n.

Indexed as

Conflict of InterestDelivery of Health CareDisclosureStakeholder ParticipationDelphi TechniqueHealth PersonnelHumansSurveys and QuestionnairesUnited KingdomChange managementDelphi TechniqueETHICS (see Medical Ethics)Health policyMEDICAL ETHICSProtocols & guidelines

Identifiers

PMID40973380
PMCPMC12458846

What OpenQuestion holds

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LicenceCC BY-NC
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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.