Evidence map›Paper›PMID 39548877›Full record

ArticleQualitative health research2026

Fraudulent Participation in Online Qualitative Studies: Practical Recommendations on an Emerging Phenomenon.

Khaylen Mistry, Sophie Merrick, Melissa Cabecinha, Susanna Daniels, John Ragan, Miran Epstein, Louisa Lever, Zoe C Venables, Nick J Levell

Abstract read
In one paragraph

Article in Qualitative health research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. I have been scammed in my qualitative research.Research integrity and peer review · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. 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

9 authors.

Khaylen MistryDepartment of Dermatology, Norfolk and Norwich University Hospitals Foundation Trust, Norwich, UK.ORCID 0000-0003-4770-9335
Sophie MerrickMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL, London, UK.
Melissa CabecinhaResearch Department of Primary Care and Population Health, Institute of Epidemiology and Healthcare, UCL, London, UK.
Susanna DanielsMelanoma Focus, Cambridge, UK.
John RaganPatient and Public Representative, Norwich, UK.
Miran EpsteinQueen Mary University of London, London, UK.
Louisa LeverLegal Services, Norfolk and Norwich University Hospitals Foundation Trust, Norwich, UK.
Zoe C VenablesDepartment of Dermatology, Norfolk and Norwich University Hospitals Foundation Trust, Norwich, UK.
Nick J LevellDepartment of Dermatology, Norfolk and Norwich University Hospitals Foundation Trust, Norwich, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fraudulent participation is defined in the following as participation in research by individuals who, for one reason or another, intentionally provide false responses. Qualitative studies are at an increased risk of fraudulent participation when online recruitment and participation are used, and monetary incentives offered. Fraudulent participation threatens data quality and subsequent evidence-based practice, yet validated guidance on how to tackle it is lacking. This paper offers a critical reflection thereon by three separate qualitative research groups that experienced fraudulent participation in collaboration with a patient representative, a bioethicist, a legal expert, a journal deputy editor, and a chief executive of a national charity. The Prevent FRaudulent Online STudy participation (P-FROST) recommendations provide advice on (1) Study set-up (including team members and study design), (2) Monetary incentives and recruitment, (3) Data collection (screening and interview considerations), and (4) Analysis, reporting, and support. The reflection which balances the diverse perspectives of patients, researchers, funders, ethics boards, and legal teams puts forward the P-FROST recommendations to identify and prevent fraudulent participation throughout the design, ethical approval, and implementation of online qualitative research.

Indexed as

FraudInternetPatient SelectionQualitative ResearchHumansMotivationResearch Designfraudulent participation; scammers; monetary incentives; online recruitment; research ethics

Identifiers

PMID39548877
PMCPMC13135646

What OpenQuestion holds

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LicenceCC BY
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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.