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Development of a computerized adaptive test suicide scale—The CAT-SS

机译:开发计算机化的自适应测试自杀秤 - CAT-SS

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Objective: Current suicide risk screening and measurement are inefficient, have limited measurement precision, and focus entirely on suicide-related items. For this study, a psychometric harmonization between related suicide, depression, and anxiety symptom domains that provides a more balanced and complete spectrum of suicidal symptomatology was developed. The objective of this article is to describe the results of the early stages of computerized adaptive testing development for a suicide scale and pave the way for the final stage of validation. Methods: Data from psychiatric outpatients at the University of Pittsburgh and a community health clinic were collected from January 2010 through June 2012. 789 participants were enrolled in the calibration phase; 70% were female, and 30% were male. The rate of major depressive disorder as diagnosed by DSM-5 was 47%. The item bank contained 1,008 items related to depression, anxiety, and mania, including 11 suicide items. Data were analyzed using a bifactor model to identify a core dimension between suicidal ideation, depression, anxiety, and mania items. A computerized adaptive test was developed via simulation from the actual complete item responses in 308 subjects. Results: 111 items were identified that provided an extension of suicidality assessment to include statistically related responses from depression and anxiety domains that are syndromally associated with suicidality. All items had high loadings on the primary suicide dimension (average = 0.67; range, 0.49–0.88). Analyses revealed that a mean of 10 items (5–20) had a correlation of 0.96 with the 111-item scale, with a precision of 5 points on a 100-point scale metric. Preliminary validation data based on 290 clinician interviews revealed a 52-fold increase in the likelihood of current suicidal ideation across the range of the Computerized Adaptive Test Suicide Scale (CAT-SS). Conclusions: The CAT-SS is able to accurately measure the latent suicide dimension with a mean of 10 items in approximately 2 minutes. Further validation against an independent clinician-administered assessment of suicide risk (ideation and attempts) and prediction of suicidal behavior is underway. ? Copyright 2017 Physicians Postgraduate Press, Inc.
机译:目的:目前的自杀风险筛查和测量效率低下,测量精度有限,完全关注自杀相关项目。对于这项研究,开发了提供了提供更平衡和完整的自杀症状学的焦虑症状结构域之间的心理测量协调。本文的目的是描述自杀规模的计算机适应性测试开发的早期阶段的结果,并为验证的最终阶段铺平道路。方法:从2012年1月到2012年6月,从2012年1月到2012年6月收集了匹兹堡大学和社区健康诊所的精神科门诊患者的数据.789参与者注册了校准阶段; 70%是女性,30%是男性。 DSM-5诊断的主要抑郁症率为47%。物品银行包含1,008件与抑郁症,焦虑和躁狂有关的物品,包括11个自杀题。使用双层模型进行分析数据,以确定自杀意念,抑郁,焦虑和狂热物品之间的核心维度。计算机化自适应测试是通过从308个科目的实际完整项目响应的模拟开发的。结果:111项被确定,提供了自由性评估的延长,以包括患有与自由力统一的抑郁和焦虑域的统计相关反应。所有物品在初级自杀尺寸上有高负载量(平均= 0.67;范围,0.49-0.88)。分析显示,10项(5-20​​)的平均值与111项规模的相关性为0.96,在100分尺度指标上具有5分的精度。基于290临床医生访谈的初步验证数据显示,在计算机化自适应测试自杀秤(CAT-SS)范围内的当前自杀意图的可能性增加了52倍。结论:CAT-SS能够在大约2分钟内准确测量潜在的自杀尺寸,平均值为10件。进一步验证针对独立临床医生的自杀风险评估(想法和尝试)和自杀行为的预测正在进行中。还版权所有2017 Physicians Postgraduate Fluss,Inc。

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