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儿童自杀和自残风险:在儿童心理健康系统中识别高风险个体的算法的开发。

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.

机构信息

Faculty of Education, Western University, London, ON, Canada.

Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada.

出版信息

Child Psychiatry Hum Dev. 2020 Dec;51(6):913-924. doi: 10.1007/s10578-020-00968-9.

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.

摘要

自杀是加拿大青少年的第二大死因。虽然已经发现了一些与自杀风险增加相关的风险因素,但需要适当的决策支持工具来识别自杀和自残风险最高的儿童。本研究旨在开发和验证一种识别有自杀和自残风险的儿童的方法。分析了基于 interRAI 儿童和青少年心理健康筛查器 (ChYMH-S) 的安大略省数据,以开发一种决策支持算法来识别有自杀或自残风险的年轻人。该算法使用来自 59 个机构的额外数据进行了验证,结果表明它是自杀意念和自残的强有力预测指标。RiSsK 算法提供了一种具有心理测量学意义的决策支持工具,可用于识别表现出增加自杀和自残可能性的迹象和症状的儿童和青少年。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e45e/7554002/88330054b4a4/10578_2020_968_Fig1_HTML.jpg

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