Lessons Learned Identifying and Controlling Fraudulent Participation in Online Randomized Trials

Virtually conducted clinical trials have become an important tool for improving access to research. Online research gives rise to new avenues for potentially fraudulent actors to participate in studies to achieve monetary gain. We describe our experience of uncovering and removing fraudulent participants from a virtual research study and our methods to prevent fraudulent participants in the future. Fraudulent participation in the 2 linked online clinical trials was first uncovered in 2023, prompting our investigation and identification of additional fraudulent participants (falsified identity or information to meet eligibility criteria) who successfully enrolled in these trials. Our study team categorized indicators of suspicious activity at prescreening, screening, and baseline stages of study participation and implemented a manual checklist method to prevent fraudulent participation. We evaluate the effectiveness of our fraud prevention methods 6 months after the initial breach of the trials. Before initial detection, 10 fraudulent participants successfully enrolled in our trials. Following the implementation of new fraud prevention measures, 37 individuals were identified as fraudulent at the screening stage, and no new fraudulent participants were enrolled. We provide a comprehensive list of suspicious behaviors that may suggest the virtual research intrusion of persons using fake identities. For online clinical studies, manual methods of fraud prevention, used in conjunction with automated prevention methods, can equip researchers to detect evolving patterns of attempted fraudulent enrollment.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-10-29
DOI
https://doi.org/10.2196/77512
Primary Topic
Social Media in Health Education
Type
article
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article

Lessons Learned Identifying and Controlling Fraudulent Participation in Online Randomized Trials

Lisa M. Quintiliani, Michael D. Stein, Ana M. Abrantes, Tibor P. Palfai et al.
Journal of Medical Internet Research
Social Media in Health Education
article

Lessons Learned Identifying and Controlling Fraudulent Participation in Online Randomized Trials

Lisa M. Quintiliani, Michael D. Stein, Ana M. Abrantes, Tibor P. Palfai, Kara M. Magane, Skylar Karzhevsky, Robert Siebers, Hattie Slayton
article en

Abstract

Virtually conducted clinical trials have become an important tool for improving access to research. Online research gives rise to new avenues for potentially fraudulent actors to participate in studies to achieve monetary gain. We describe our experience of uncovering and removing fraudulent participants from a virtual research study and our methods to prevent fraudulent participants in the future. Fraudulent participation in the 2 linked online clinical trials was first uncovered in 2023, prompting our investigation and identification of additional fraudulent participants (falsified identity or information to meet eligibility criteria) who successfully enrolled in these trials. Our study team categorized indicators of suspicious activity at prescreening, screening, and baseline stages of study participation and implemented a manual checklist method to prevent fraudulent participation. We evaluate the effectiveness of our fraud prevention methods 6 months after the initial breach of the trials. Before initial detection, 10 fraudulent participants successfully enrolled in our trials. Following the implementation of new fraud prevention measures, 37 individuals were identified as fraudulent at the screening stage, and no new fraudulent participants were enrolled. We provide a comprehensive list of suspicious behaviors that may suggest the virtual research intrusion of persons using fake identities. For online clinical studies, manual methods of fraud prevention, used in conjunction with automated prevention methods, can equip researchers to detect evolving patterns of attempted fraudulent enrollment.

Journal of Medical Internet ResearchVol. 27
Boston University (US), Tufts University (US), Tufts Medical Center (US), Brown University (US)
Openalex Percentile: Top 61%
Social Media in Health Education
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