Clinical Research Directory
Browse clinical research sites, groups, and studies.
Predict the Best Level of Care Placement for Each Child's Behavioral Health Needs - Efficacy Study
Sponsor: Outcome Referrals, Inc.
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.
Official title: Placement Success Predictor: Using Site-Customized Machine Learning Models to Predict the Best Level of Care Placement for Each Child's Behavioral Health Needs
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
300
Start Date
2025-02-03
Completion Date
2025-12-31
Last Updated
2025-02-17
Healthy Volunteers
No
Interventions
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.
Locations (1)
Outcome Referrals, Inc.
Framingham, Massachusetts, United States