University of Chicago, Illinois.
University of Pittsburgh School of Medicine, Pennsylvania.
J Am Acad Child Adolesc Psychiatry. 2020 Nov;59(11):1264-1273. doi: 10.1016/j.jaac.2019.08.009. Epub 2019 Aug 26.
At least half of youths with mental disorders are unrecognized and untreated. Rapid, accurate assessment of child mental disorders could facilitate identification and referral and potentially reduce the occurrence of functional disability that stems from early-onset mental disorders.
Computerized adaptive tests (CATs) based on multidimensional item response theory were developed for depression, anxiety, mania/hypomania, attention-deficit/hyperactivity disorder, conduct disorder, oppositional defiant disorder, and suicidality, based on parent and child ratings of 1,060 items each. In phase 1, CATs were developed from 801 participants. In phase 2, predictive, discriminant, and convergent validity were tested against semi-structured research interviews for diagnoses and suicidality in 497 patients and 104 healthy controls. Overall strength of association was determined by area under the receiver operating characteristic curve (AUC).
The child and parent independently completed the Kiddie-Computerized Adaptive Tests (K-CATs) in a median time of 7.56 and 5.03 minutes, respectively, with an average of 7 items per domain. The K-CATs accurately captured the presence of diagnoses (AUCs from 0.83 for generalized anxiety disorder to 0.92 for major depressive disorder) and suicidal ideation (AUC = 0.996). Strong correlations with extant measures were found (r ≥ 0.60). Test-retest reliability averaged r = 0.80.
These K-CATs provide a new approach to child psychopathology screening and measurement. Testing can be completed by child and parent in less than 8 minutes and yields results that are highly convergent with much more time-consuming structured clinical interviews and dimensional severity assessment and measurement. Testing of the implementation of the K-CAT is now indicated.
至少有一半患有精神障碍的青少年未被发现和未得到治疗。快速、准确地评估儿童精神障碍可以促进识别和转介,并有可能减少因早期精神障碍而导致的功能障碍的发生。
基于多维项目反应理论,根据父母对 1060 项和儿童对 1060 项各自的评分,为抑郁、焦虑、躁狂/轻躁狂、注意缺陷/多动障碍、品行障碍、对立违抗性障碍和自杀意念开发了基于计算机的自适应测试(CAT)。在第 1 阶段,从 801 名参与者中开发了 CAT。在第 2 阶段,在 497 名患者和 104 名健康对照者中,通过半结构化研究访谈,对诊断和自杀意念进行了预测、区分和收敛有效性测试。整体关联强度由接收器工作特征曲线下的面积(AUC)确定。
儿童和家长分别以中位数时间 7.56 分钟和 5.03 分钟独立完成儿童计算机自适应测试(K-CAT),每个领域平均有 7 个项目。K-CAT 准确地捕捉到了诊断的存在(广泛性焦虑障碍的 AUC 为 0.83,重度抑郁症的 AUC 为 0.92)和自杀意念(AUC=0.996)。与现有量表的相关性很强(r≥0.60)。测试-重测信度平均 r=0.80。
这些 K-CAT 为儿童精神病理学筛查和评估提供了一种新方法。儿童和家长可以在不到 8 分钟的时间内完成测试,并且测试结果与更耗时的结构化临床访谈以及维度严重程度评估和测量高度一致。现在需要对 K-CAT 的实施进行测试。