Integrating Predictive Modeling Into Mental Health Care: An Example in Suicide Prevention
Integrating Predictive Modeling Into Mental Health Care: An Example in Suicide Prevention
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DOI：
10.1176/appi.ps.201800242
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发表时间：
2019-01-01
影响因子：
3.8
通讯作者：
Reger, Mark A.
中科院分区：
文献类型：
--
作者：
Reger, Greg M.;McClure, Mary Lou;Reger, Mark A.
统计方法和计算能力的最新进展提高了预测与精神疾病相关的风险的能力，提高了效率和准确性。然而，将统计预测整合到临床环境中提出了新的挑战，需要创造性的解决方案。一个案例探讨了退伍军人事务部医院在实施REACH VET（退伍军人健康增强治疗的恢复参与和协调）时出现的挑战和创新，这是一项基于预测模型的自杀预防计划，该预测模型确定了退伍军人的统计自杀风险。
Recent advances in statistical methods and computing power have improved the ability to predict risks associated with mental illness with more efficiency and accuracy. However, integrating statistical prediction into a clinical setting poses new challenges that need creative solutions. A case example explores the challenges and innovations that emerged at a Department of Veterans Affairs hospital while implementing REACH VET (Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment), a suicide prevention program that is based on a predictive model that identifies veterans at statistical risk for suicide.