UTECH: Machine Learning for HIV Prevention Among Substance Using GBMSM

NACompletedINTERVENTIONAL
Enrollment

388

Participants

Timeline

Start Date

November 24, 2020

Primary Completion Date

May 31, 2024

Study Completion Date

May 31, 2024

Conditions
Sexually Transmitted DiseasesHIV InfectionsImplementation ScienceSubstance UseMSM
Interventions
BEHAVIORAL

uTECH + YMHP

"uTECH intervention utilizes a machine learning algorithm that leverages baseline data, individual social media use patterns, and strategic opportunistic learning questions to push messages to participants that offer strategic content about biomedical and behavioral HIV prevention. In addition, participants in this arm will also receive the YMHP intervention, which provides a four-session, evidence-based Motivational Enhancement intervention developed as part of the Young Men's Health Project (YMHP) and delivered via Zoom. Participants complete the four-session intervention during the first three months of their enrollment in the study."

BEHAVIORAL

YMHP

YMHP intervention provides a four-session evidence-based Motivational Enhancement intervention developed as part of the Young Men's Health Project (YMHP) and delivered via Zoom. Participants complete the four-session intervention during the first three months of their enrollment in this study. Months 3-12 are inactive.

BEHAVIORAL

uTECH

"uTECH intervention utilizes a machine learning algorithm that leverages baseline data, individual social media use patterns, and strategic opportunistic learning questions to push messages to participants that offer strategic content about biomedical and behavioral HIV prevention."

Trial Locations (1)

90095

UCLA, Los Angeles

All Listed Sponsors
collaborator

National Institutes of Health (NIH)

NIH

collaborator

National Institute on Drug Abuse (NIDA)

NIH

lead

University of California, Los Angeles

OTHER

NCT04710901 - UTECH: Machine Learning for HIV Prevention Among Substance Using GBMSM | Biotech Hunter | Biotech Hunter