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Using Re-inforcement Learning to Automatically Adapt a Remote Therapy Intervention (RTI) for Reducing Adolescent Violence Involvement
Sponsor: University of Michigan
Summary
This study will use a randomized control trial (RCT) design to administer two versions of a multisession remote behavioral intervention for youth seeking Emergency Department care for a violent injury with the goal to reduce their violence involvement and associated negative behaviors and consequences. The study examines two versions of the remote therapy intervention - a standard RTI (S-RTI) and an Artificial Intelligence RTI (AI-RTI). The application of a just-in-time adaptive strategy to address youth violence is an important and novel direction for this research, particularly given the need to understand best practices for delivering behavioral interventions among lower-income populations.
Key Details
Gender
All
Age Range
14 Years - 24 Years
Study Type
INTERVENTIONAL
Enrollment
584
Start Date
2021-05-19
Completion Date
2026-03-31
Last Updated
2025-10-29
Healthy Volunteers
Yes
Interventions
Remote Therapy Intervention (RTI)
A single ED session followed by 5 remote therapy sessions
Artificial Intelligence Remote Therapy Intervention
Optimized by reinforcement learning to step up or down the intensity of treatment between three levels based on patient response to daily assessments.
Locations (4)
Grady Health System
Atlanta, Georgia, United States
Ascension St. John Hospital
Detroit, Michigan, United States
Hurley Medical Center
Flint, Michigan, United States
HUP and PPMC
Philadelphia, Pennsylvania, United States