MedTrace Logo

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

NCT06834763 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 700

Last updated 2025-02-19

No results posted yet for this study

Summary

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.

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. PSP provides site-specific placement success prediction scores \[i.e., client's likelihood of success per placement based on machine learning models\] for each youth.

Sponsors & Collaborators

  • National Institutes of Health (NIH)

    collaborator NIH

  • Children's Hope Alliance

    collaborator UNKNOWN

  • Outcome Referrals, Inc.

    lead INDUSTRY

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

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06834763 on ClinicalTrials.gov