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Methods for Authenticating Participants in Fully Web-Based Mobile App Trials from the iReach Project: Cross-sectional
Jodie L Guest1,2, Elizabeth Adam1, Iaah L Lucas1
1Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
JMIR Mhealth and Uhealth
|August 31, 2021
Summary
This study details electronic and manual methods to prevent fraudulent enrollment in the iReach mobile health trial, successfully identifying and preventing 624 invalid cases to ensure data integrity for HIV prevention research.
Area of Science:
- Digital Health
- Public Health Interventions
- Clinical Trial Methodology
Background:
- Mobile health (mHealth) apps are crucial for scaling HIV prevention services like testing, PrEP, and education.
- Web-based intervention trials require robust methods to prevent fraudulent or duplicate participant enrollment.
- Ensuring data validity and reliability is critical for the integrity of mHealth trial results.
Purpose of the Study:
- To discuss electronic and manual authentication strategies used in the iReach randomized controlled trial.
- To detail methods for monitoring and preventing fraudulent enrollment in a web-based HIV prevention study.
Main Methods:
- The iReach trial focused on same-sex attracted, cisgender males aged 13-18 in the US, prioritizing people of color and rural residents.
- Data evaluation involved identifying duplicate enrollments and fraudulent participants via data inconsistencies and completion times.
- Electronic flagging of suspicious enrollment was supplemented by manual verification of age, IP addresses, email, social media, and survey completion times.
Main Results:
- Combined electronic and manual strategies prevented 624 cases of fraudulent, duplicative, or ineligible enrollment.
- Electronic strategies identified 79% (493/624) of problematic enrollments, significantly reducing manual authentication burden.
- A case study illustrating a specific authentication scenario and resolution was included.
Conclusions:
- Developing effective methods to handle suspicious enrollments is increasingly vital for web-based trials.
- These authentication strategies are essential for maintaining data quality and ensuring reliable trial outcomes.
- Implementing robust enrollment monitoring protects the integrity of research findings in digital health interventions.

