Suicide Prevention Program for Adolescents and Young Adults Aged 12-26 Years: An Initiative to Address Unmet Needs and Save Lives

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Abstract

Suicide is a major public health crisis, particularly among young people. To address this complex and multi-faceted issue, we built a predictive model to identify members who are at high risk for first or repeat-attempt suicide over the next 12 months and referred those members to a comprehensive case-management program for early intervention. Using multivariate regression, we identified the major risk factors for a suicidal event in our study sample. Of the identified members, we targeted approximately 10,000 members aged 12-26 years of age in the high-risk category from our commercial fully insured population. The members who agreed to participate in this comprehensive case-management program worked closely with the case managers and wellness recovery specialists. The pre and post rates of suicidal events were measured for the intervention group and compared a matched control group. The rate of suicidal events had a net decrease of 16.71% in the no prior attempt group while those in the prior attempt group had a net decrease of 27.76%. High-risk members (those with 10% or greater risk of suicidal event) identified via the predictive modeling algorithm who engage in the case-management program were shown to have a significant reduction in their risk for having a suicidal event.
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12-26岁青少年和年轻人自杀预防计划:一项解决未满足需求和拯救生命的倡议
自杀是一个重大的公共卫生危机,尤其是在年轻人中。为了解决这个复杂而多方面的问题,我们建立了一个预测模型,以识别在未来12个月内首次或多次自杀未遂的高危成员,并将这些成员转介到一个全面的病例管理项目中进行早期干预。通过多元回归,我们确定了研究样本中自杀事件的主要危险因素。在确定的成员中,我们的目标是大约10,000名年龄在12-26岁之间的高风险成员,这些成员来自我们的商业完全保险人口。同意参加这一综合病例管理计划的成员与病例管理人员和健康康复专家密切合作。研究人员测量了干预组自杀事件发生前后的发生率,并与对照组相比较。无自杀企图组的自杀率净下降了16.71%,有自杀企图组的自杀率净下降了27.76%。通过参与病例管理项目的预测建模算法识别出的高风险成员(自杀事件风险在10%或更高)自杀事件的风险显著降低。
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