Predict the Best Level of Care Placement for Each Child's Behavioral Health Needs - Efficacy Study
NCT06815562 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300
Last updated 2025-02-17
Summary
The purpose of this randomized clinical trial is to test the efficacy of a new clinical decision support tool, Placement Success Predictor (PSP). PSP will provide placement-specific predictions about the likelihood of a youth having a good outcome in each placement type using machine learning algorithms.
The primary hypothesis is that if clinical team members have access to PSP results for youth in the experimental group, these youth will have better outcomes at the 3-month follow-up compared to youth in the control group.
Conditions
- Adolescent Well-Being
- Mental Health Wellness
Interventions
- OTHER
-
Clinical team access to Placement Success Predictor (PSP) results
PSP is a machine-learning based clinical decision support tool that is designed to assist clinical team members in making placement decisions for youth.
Sponsors & Collaborators
-
National Institute of Mental Health (NIMH)
collaborator NIH -
State of Iowa Department of Health and Human Services
collaborator UNKNOWN -
Outcome Referrals, Inc.
lead INDUSTRY
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-02-03
- Primary Completion
- 2025-12-31
- Completion
- 2025-12-31
Countries
- United States
Study Locations
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