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Risk of Suicide and Self-harm in Kids: The Development of an Algorithm to Identify High-Risk Individuals Within the Children's Mental Health System.

Authors
  • Stewart, Shannon L1
  • Celebre, Angela2
  • Hirdes, John P3
  • Poss, Jeffrey W3
  • 1 Faculty of Education, Western University, London, ON, Canada. , (Canada)
  • 2 Faculty of Education, Western University, London, ON, Canada. [email protected] , (Canada)
  • 3 Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada. , (Canada)
Type
Published Article
Journal
Child Psychiatry & Human Development
Publisher
Springer-Verlag
Publication Date
Dec 01, 2020
Volume
51
Issue
6
Pages
913–924
Identifiers
DOI: 10.1007/s10578-020-00968-9
PMID: 32076912
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Suicide is the second leading cause of death in adolescents within Canada. While several risk factors have been found to be associated with increased risk, appropriate decision-support tools are needed to identify children who are at highest risk for suicide and self-harm. The aim of the present study was to develop and validate a methodology for identifying children at heightened risk for self-harm and suicide. Ontario data based on the interRAI Child and Youth Mental Health Screener (ChYMH-S) were analyzed to develop a decision-support algorithm to identify young persons at risk for suicide or self-harm. The algorithm was validated with additional data from 59 agencies and found to be a strong predictor of suicidal ideation and self-harm. The RiSsK algorithm provides a psychometrically sound decision-support tool that may be used to identify children and youth who exhibit signs and symptoms noted to increase the likelihood of suicide and self-harm.

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