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首页> 外文期刊>Clinical Psychology & Psychotherapy >Why are some cases not on track? An item analysis of the Assessment for Signal Cases during inpatient psychotherapy
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Why are some cases not on track? An item analysis of the Assessment for Signal Cases during inpatient psychotherapy

机译：为什么有些情况不在轨道上？ 住院心理治疗中信号案例评估的项目分析

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Within the Routine Outcome Monitoring system "OQ-Analyst," the questionnaire "Assessment for Signal Cases" (ASC) supports therapists in detecting potential reasons for not-on-track trajectories. Factor analysis and a machine learning algorithm (LASSO with 10-fold cross-validation) were applied, and potential predictors of not-on-track classifications were tested using logistic multilevel modeling methods. The factor analysis revealed a shortened (30 items) version of the ASC with good internal consistency (alpha= 0.72-0.89) and excellent predictive value (area under the curve = 0.98; positive predictive value = 0.95; negative predictive value = 0.94). Item-level analyses showed that interpersonal problems captured by specific ASC items (not feeling able to speak about problems with family members; feeling rejected or betrayed) are the most important predictors of not-on-track trajectories. It should be considered that our results are based on analyses of ASC items only. Our findings need to be replicated in future studies including other potential predictors of not-on-track trajectories (e.g., changes in medication, specific therapeutic techniques, or treatment adherence), which were not measured this study.
机译：在常规结果监测系统“OQ-Analyst中，信号案例的问卷”评估（ASC）支持治疗师来检测非轨道轨迹的潜在原因。应用因子分析和机器学习算法（带10倍交叉验证的套索），并使用逻辑多级建模方法测试非轨道分类的潜在预测器。因子分析揭示了缩短的（30件）的ASC，内部一致性良好（alpha = 0.72-0.89）和出色的预测值（曲线下的面积= 0.98;阳性预测值= 0.95;否定预测值= 0.94）。物品级别分析表明，特定ASC项目捕获的人际关系（不觉得能够与家庭成员的问题谈论;感觉被拒绝或背叛）是轨道上最重要的预测因子。应该认为我们的结果仅基于ASC项目的分析。我们的研究结果需要在未来的研究中复制，包括非上轨道轨迹的其他潜在预测因子（例如，药物，特定治疗技术或治疗粘附的变化），这些研究未测量该研究。

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