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首页> 外文期刊>Social psychiatry and psychiatric epidemiology >Can risk assessment predict suicide in secondary mental healthcare? Findings from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register
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Can risk assessment predict suicide in secondary mental healthcare? Findings from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register

机译:风险评估是否会预测二次心理医疗保健的自杀? South London和Maudsley NHS基金会信托生物医学研究中心(SLAM BRC)案例登记的调查结果

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PurposeThe predictive value of suicide risk assessment in secondary mental healthcare remains unclear. This study aimed to investigate the extent to which clinical risk assessment ratings can predict suicide among people receiving secondary mental healthcare.MethodsRetrospective inception cohort study (n=13,758) from the South London and Maudsley NHS Foundation Trust (SLaM) (London, UK) linked with national mortality data (n=81 suicides). Cox regression models assessed survival from the last suicide risk assessment and ROC curves evaluated the performance of risk assessment total scores.ResultsHopelessness (RR=2.24, 95% CI 1.05-4.80, p=0.037) and having a significant loss (RR=1.91, 95% CI 1.03-3.55, p=0.041) were significantly associated with suicide in the multivariable Cox regression models. However, screening statistics for the best cut-off point (4-5) of the risk assessment total score were: sensitivity 0.65 (95% CI 0.54-0.76), specificity 0.62 (95% CI 0.62-0.63), positive predictive value 0.01 (95% CI 0.01-0.01) and negative predictive value 0.99 (95% CI 0.99-1.00).ConclusionsAlthough suicide was linked with hopelessness and having a significant loss, risk assessment performed poorly to predict such an uncommon outcome in a large case register of patients receiving secondary mental healthcare.
机译:二次心理医疗保健中自杀风险评估的预测值尚不清楚。本研究旨在探讨临床风险评估评级可以预测接受次要心理健康保健的人的自杀程度。从南伦敦和Maudsley NHS基金会信托(Slam)(伦敦,英国)联系的人群具有国家死亡率数据(N = 81人)。从最后一次自杀风险评估和ROC曲线评估的Cox回归模型评估了风险评估的性能总分数。结果(RR = 2.24,95%CI 1.05-4.80,P = 0.037)并具有显着损失(RR = 1.91, 95%CI 1.03-3.55,P = 0.041)与多变量COX回归模型的自杀显着相关。但是,风险评估的最佳截止点(4-5)的筛选统计数字总分:敏感性0.65(95%CI 0.54-0.76),特异性0.62(95%CI 0.62-0.63),阳性预测值0.01 (95%CI 0.01-0.01)和负预测值0.99(95%CI 0.99-1.00)。虽然自杀与绝望有关并具有显着的损失,风险评估表现不佳,以预测在大型案例登记册中的这种罕见结果接受次要心理医疗保健的患者。

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