Using Re-inforcement Learning to Automatically Adapt a Remote Therapy Intervention (RTI) for Reducing Adolescent Violence Involvement
NCT ID: NCT04850274
Last Updated: 2025-10-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
584 participants
INTERVENTIONAL
2021-05-19
2026-03-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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Remote Therapy Intervention
Youth will receive the maximal dose of six S-RTI therapy sessions delivered by a remote therapist with no alteration in intensity
Remote Therapy Intervention (RTI)
A single ED session followed by 5 remote therapy sessions
Artificial Intelligence Remote Therapy Intervention
Youth will first receive a remote therapy session in the Emergency Department (ED). The RL system will then make decisions about the intensity of each subsequent therapy session (the initial decision is seven days post ED visit and bi-weekly \[i.e., every other two weeks\] thereafter) for the next 11 weeks. Potential treatment decisions include a 30-minute remote therapy session delivered via phone or video chat (mirroring the S-RTI), a less intensive tailored Motivational Interviewing (MI)-adherent electronic remote therapy (delivered by an electronic robot), or an assessment only without intervention.
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.
Enhanced Usual Care
The youth's retaliatory risk will be assessed and a pamphlet with referrals for violence, substance use, and mental health services will be provided.
No interventions assigned to this group
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
14 Years
24 Years
ALL
Yes
Sponsors
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Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
NIH
University of Michigan
OTHER
Responsible Party
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Patrick Carter
Associate Professor of Emergency Medicine
Locations
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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
Countries
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Other Identifiers
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HUM00160149
Identifier Type: -
Identifier Source: org_study_id
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