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

Completed

Conditions studied: Adolescent Well-Being, Mental Health Wellness

In brief

The purpose of this study is to test the effectiveness of a new clinical decision support tool, Placement Success Predictor (PSP), in a naturalistic setting. PSP will provide placement-specific predictions about the likelihood of a youth having a good outcome in each placement type at a behavioral health center using machine learning algorithms. The primary hypothesis is that clients in at least one placement within one standard deviation of the placement with the highest predicted likelihood of success will have better outcomes than the clients who were not. The secondary hypothesis is that clients' level of improvement over time will be positively correlated with the number of days they are in at least one placement within one standard deviation of the placement with the highest predicted likelihood of success.

Key facts

Study ID
NCT06834763
Run by
Outcome Referrals, Inc.
People needed
403
Starts
2025-02-03
Expected to finish
2026-02-26
Last updated by the study team
2026-08-07

Who can join

Age: any. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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