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Prospective identification of adolescent suicide ideation using classification tree analysis: Models for
Ryan M Hill1, Benjamin Oosterhoff1, Julie B Kaplow1
1Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston.
Journal of Consulting and Clinical Psychology
|April 18, 2017
Summary
This study developed a decision-making model using classification tree analysis (CTA) to identify adolescents at risk for suicide ideation in community settings. The model offers options for large-scale screenings, aiding preventive interventions for at-risk youth.
Area of Science:
- Adolescent Health
- Psychiatry
- Public Health
Background:
- Identifying adolescents at risk for suicide ideation is crucial for preventive interventions.
- Existing risk markers lack guidance for prospective identification in community settings.
- Classification tree analysis (CTA) offers a novel approach for developing screening models.
Purpose of the Study:
- To address the gap in prospective identification of at-risk adolescents for suicide ideation.
- To develop a decision-making model using CTA for community-based suicide ideation screening.
- To provide empirically driven guidance for identifying at-risk youth.
Main Methods:
- Utilized data from 4,799 adolescents from the National Longitudinal Study of Adolescent to Adult Health (Waves 1 and 2).
- Employed classification tree analysis (CTA) to generate decision rules for identifying suicide ideation risk.
- Evaluated three distinct CTA solutions with varying sensitivity and specificity.
Main Results:
- Findings revealed three classification tree solutions for identifying adolescents with suicide ideation.
- Sensitivity ranged from 44.6% to 77.6%, with varying specificity.
- Different trees prioritized factors such as prior ideation, depressive symptoms, social support, gender, ethnicity, sleep, and school factors.
Conclusions:
- The developed classification trees provide community organizations with flexible screening options based on resources.
- This study offers a theoretically and empirically supported model for prospective identification of at-risk adolescents.
- The findings have significant implications for developing targeted preventive interventions for youth suicide ideation.