Placement Success Predictor for Adolescent Mental Health Wellness

Overseen By Kimberlee J. Trudeau, Ph.D

Age: Any Age

Sex: Any

Trial Phase: Academic

Sponsor: Outcome Referrals, Inc.

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

Duration: 3 months

300 Participants Needed

Trial Summary

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications.

What data supports the effectiveness of the treatment Placement Success Predictor (PSP) for adolescent mental health wellness?

The research highlights the importance of using data-driven methods to identify youth at risk for treatment failure, which can help in tailoring interventions like PSP. Additionally, tools like the Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA) have been shown to predict the need for hospitalization, suggesting that similar predictive tools can be effective in managing mental health treatment outcomes. ^{1 2 3 4 5}

How does the Placement Success Predictor (PSP) treatment differ from other treatments for adolescent mental health wellness?

The Placement Success Predictor (PSP) treatment is unique because it uses a classification system based on initial mental health problem profiles to predict clinical outcomes and remission in adolescents, allowing for more personalized and informed treatment plans compared to standard approaches. ^{1 6 7 8 9}

What is the purpose of this trial?

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.

Eligibility Criteria

This trial is for young people who are dealing with mental health and wellbeing issues. It's designed to help figure out the best care setting for each individual. To join, participants must meet certain criteria that aren't specified here.

Inclusion Criteria

Completed TOP CS assessment

Exclusion Criteria

Not applicable.

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants receive site-specific placement success prediction scores using the Placement Success Predictor (PSP) tool

3 months

Regular assessments using the Treatment Outcome Package (TOP)

Follow-up

Participants are monitored for well-being outcomes and healthcare costs after treatment

3 months

Treatment Details

Interventions

• Placement Success Predictor (PSP)

Trial Overview The study is testing a new tool called Placement Success Predictor (PSP), which uses machine learning to predict how well a youth might do in different care settings. The clinical teams will use PSP results to make decisions, and outcomes will be compared after 3 months.

Participant Groups

Group I: Access to PSP site-specific placement prediction scores for that youth Experimental Treatment 1 Intervention

The PSP system will provide site-specific placement success prediction scores \[i.e., client's likelihood of success per placement based on machine learning models\] for each youth randomized to this condition in the efficacy study.

Group II: No PSP site-specific placement prediction scores for that youth Active Control 1 Intervention

Who Is Running the Clinical Trial?

Outcome Referrals, Inc.

Lead Sponsor

Trials

4

Recruited

1,500+

National Institute of Mental Health (NIMH)

Collaborator

Trials

3,007

Recruited

2,852,000+

State of Iowa Department of Health and Human Services

Collaborator

Trials

1

Recruited

300+

References

1. United States pubmed.ncbi.nlm.nih.gov

Identifying Youth Problem Profiles and Predicting Remission Following Mental Health Treatment. [2022]

2. England pubmed.ncbi.nlm.nih.gov

Predictors of child and adolescent mental health treatment outcome. [2022]

3. England pubmed.ncbi.nlm.nih.gov

Change trajectories for the Youth Outcome Questionnaire self-report: identifying youth at risk for treatment failure. [2015]

4. Ireland pubmed.ncbi.nlm.nih.gov

Can the Health of the Nation Outcome Scales for Children and Adolescents predict the necessity of inpatient stay during assertive community treatment? [2019]

5. United States pubmed.ncbi.nlm.nih.gov

Longitudinal predictors of youth functional improvement in a public mental health system. [2021]

6. United States pubmed.ncbi.nlm.nih.gov

Factors associated with adolescent mental health service need and utilization. [2018]

7. England pubmed.ncbi.nlm.nih.gov

Evidence Base Update for Brief, Free, and Accessible Youth Mental Health Measures. [2021]

8. United States pubmed.ncbi.nlm.nih.gov

Description of a collaborative community approach to impacting juvenile arrests. [2018]

9. United States pubmed.ncbi.nlm.nih.gov

Correlates of mental health problems among students in Texas alternative high schools and school-level efforts to address mental health. [2022]