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The problem
Intervention: Machine learning-based screening tools (51-item full version and 11-item abbreviated version) to identify adolescents at risk of developing suicide risk
Who it was tested with: Adolescents in schools in Southern China, based on large-scale school-based cohort study from 2022.
Children or communities are compared with a group that did not receive the intervention, or followed over years. This is the design that best separates what the intervention did from everything else that changed.
"the dataset was divided into two samples for tool development and longitudinal interview validation" and "The developed models were subsequently evaluated for their ability to predict suicide risk as assessed by the follow-up interview in the longitudinal validation phase." This represents an experimental design with temporal separation and external validation using objective follow-up outcomes, meeting the standard for experimental evidence tier.
The study provides preliminary evidence and validation in one Chinese region. The document does not report implementation outcomes, scalability, or whether early identification through these tools translates to improved mental health outcomes. Further research across different populations is needed.
Across countries and designs
4 studies · 4 countries
