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Observational study

Public Health ·

Two HIV Cohorts Report Fraud Risks in Online Research

A report describing fraud-prevention practices in two NIH-funded online HIV research cohorts found substantial fraudulent and duplicate participation despite layered safeguards. The authors recommend combining automated checks with ongoing manual review and rapid protocol adjustments.

The article presents two case studies from the American Transformative HIV Study (AMETHST) and Keeping it LITE − 2, NIH-funded, limited-interaction cohort studies that recruited thousands of sexual and gender minority participants through geosocial and social media platforms. Both used remote surveys and mailed at-home specimen collection. The authors describe fraud-prevention measures, detection methods and protocol changes in response to fraudulent or duplicate participation.

Both studies combined automated safeguards—including CAPTCHA, IP tracking, duplicate detection and unique survey links—with systematic manual review. AMETHST identified 177 fraudulent participants, most linked to one publicly accessible static recruitment link, and a further 305 duplicates. Keeping it LITE − 2 excluded 483 people for fraudulent or duplicate activity. Reported tactics included fabricated addresses, reused HIV test images, falsified identity documents and AI-generated prescription photographs.

The authors conclude that no single safeguard is sufficient and call for layered defenses and capacity to respond quickly. These case studies offer practical lessons for online cohort research, but the findings are descriptive and do not establish how well any individual measure performs across other study settings.

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Source

BMC Public Health: Preventing fraud in a post-COVID era of online HIV research: two case studies and their lessons for future research ↗

This is an automated AI-condensed summary that has not yet been reviewed by an editor. Always consult the full item at the original source.