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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Nov 10, 2025
Date Accepted: Mar 31, 2026
Date Submitted to PubMed: May 26, 2026

The final, peer-reviewed published version of this preprint can be found here:

Detecting and Preventing Fraudulent Participation in Qualitative Research: Content Analysis of Two Multisite Studies

Harden D, Rodriguez N, Roybal K, Coffin T, Johnson G, Le Beaux K, Connolly M, Rountree J, Ukaegbu C, Revette AC, Nava-Coulter B, Caruso A, Roberts J, Brodney S, Schoolcraft K, Syngal S, Drew DA, May FP, Haas JS, Wendt SJ, Warner ET

Detecting and Preventing Fraudulent Participation in Qualitative Research: Content Analysis of Two Multisite Studies

J Med Internet Res 2026;28:e87037

DOI: 10.2196/87037

PMID: 42398058

Fraudulent and Imposter Participants in Qualitative Research: Experiences from Two Multi-Site Studies

  • Destiny Harden; 
  • Nicolette Rodriguez; 
  • Kristi Roybal; 
  • Tara Coffin; 
  • Gina Johnson; 
  • Kelley Le Beaux; 
  • Maria Connolly; 
  • Jennifer Rountree; 
  • Chinedu Ukaegbu; 
  • Anna C Revette; 
  • Brett Nava-Coulter; 
  • Alyson Caruso; 
  • Jane Roberts; 
  • Suzanne Brodney; 
  • Kimberly Schoolcraft; 
  • Sapna Syngal; 
  • David A. Drew; 
  • Folasade P. May; 
  • Jennifer S. Haas; 
  • Staci J. Wendt; 
  • Erica T. Warner

ABSTRACT

Background:

The use of web-based approaches to identify, recruit, enroll, survey, and interview health-related research participants has increased over time, with rapid acceleration since the COVID-19 pandemic. These approaches can make research more accessible to a broader population but also increase the risk of fraudulent or imposter participants infiltrating research studies. While this threat has been discussed extensively with respect to quantitative survey research, less has been reported for qualitative and mixed methods studies.

Objective:

Our primary objective is to identify recurring patterns of fraudulent study participation, offer strategies for identification, remediation, and reporting.

Methods:

Two examples of encounters with fraudulent or imposter individuals during recruitment, enrollment, survey distribution, data collection, and focus group sessions in qualitative and mixed methods research studies are presented. Content from both studies were analyzed to identify common themes to develop strategies for prevention and remediation.

Results:

Investigators observed large response volumes over a short period, highly repetitive email addresses, higher than expected proportions of phone numbers with area codes outside the study area, and unusual email/phone responses using atypical language and phrasing. Several imposter or fraudulent individuals disrupted focus group sessions. To mitigate these issues, both studies implemented remediation strategies including enhanced screening procedures at baseline, cross-checking of survey responses and additional verification methods.

Conclusions:

This multi-site study identified multiple ways that imposter or fraudulent participants can infiltrate qualitative and mixed methods research. Web-based qualitative research recruitment poses increasing challenges for researchers, impacting research credibility, participant trust, and data integrity. Lessons learned highlight the importance of real-time analysis by investigators and study staff and the need for a comprehensive approach to prevent and address fraudulent study participation that includes collaboration with recruitment platforms, the Institutional Review Board, and the research community to effectively address this issue.


 Citation

Please cite as:

Harden D, Rodriguez N, Roybal K, Coffin T, Johnson G, Le Beaux K, Connolly M, Rountree J, Ukaegbu C, Revette AC, Nava-Coulter B, Caruso A, Roberts J, Brodney S, Schoolcraft K, Syngal S, Drew DA, May FP, Haas JS, Wendt SJ, Warner ET

Detecting and Preventing Fraudulent Participation in Qualitative Research: Content Analysis of Two Multisite Studies

J Med Internet Res 2026;28:e87037

DOI: 10.2196/87037

PMID: 42398058

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