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COMPLETED
NCT06815562
NA

Predict the Best Level of Care Placement for Each Child's Behavioral Health Needs - Efficacy Study

Sponsor: Outcome Referrals, Inc.

View on ClinicalTrials.gov

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

213

Start Date

2025-02-03

Completion Date

2026-01-26

Last Updated

2026-07-08

Healthy Volunteers

No

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.

Locations (1)

Outcome Referrals, Inc.

Framingham, Massachusetts, United States