Crepeau-Hobson M Franci, Leech Nancy, Russell Courtney
School of Education and Human Development, University of Colorado Denver, Denver, CO USA.
J Dev Phys Disabil. 2022;34(5):853-869. doi: 10.1007/s10882-021-09828-3. Epub 2021 Dec 2.
Recent surveillance efforts indicate that 1 in 54 American children meet the criteria for Autism Spectrum Disorder (ASD), making it the fastest growing neurodevelopmental disorder in the U.S. Despite evidence that ASD can be reliably diagnosed as early as 24 months, the median age at ASD diagnosis in 2016 in the U.S. was 51 months. The CLEAR Autism Diagnostic Evaluation (CADE; Willard & Kroncke, 2019), was developed in response to the need to improve, shorten, and standardize the clinical ASD evaluation process. The CADE is a 33-item rating scale designed to be completed by caregivers and clinicians. The current study was conducted to examine the reliability and validity of the CADE using a sample of 191 individuals who received a private evaluation for ASD. Using the client's evaluation records, clinicians completed the CADE items. The coefficient alpha was .94, which indicates that the items form a scale that has high internal consistency. The CADE total scores were highly correlated with ADOS scores, with values ranging from .52-.86, and discriminated between those participants with a diagnosis of ASD and those without ( < .001). Receiver operator characteristic (ROC) curve analyses indicated excellent diagnostic accuracy of the CADE total score (ROC area under the curve = .998). Results suggest that the CADE can be used as an efficient and accurate means of evaluating ASD. Limitations and implications for use of the CADE are discussed.
近期的监测工作表明,每54名美国儿童中就有1名符合自闭症谱系障碍(ASD)的标准,这使其成为美国增长最快的神经发育障碍。尽管有证据表明ASD早在24个月时就能得到可靠诊断,但2016年美国ASD诊断的中位年龄为51个月。为了满足改进、缩短和规范临床ASD评估过程的需求,开发了CLEAR自闭症诊断评估工具(CADE;威拉德和克龙克,2019年)。CADE是一个由33个项目组成的评定量表,旨在由照料者和临床医生完成。本研究通过对191名接受ASD私人评估的个体进行抽样,来检验CADE的信度和效度。临床医生根据客户的评估记录完成CADE项目。α系数为0.94,这表明这些项目构成了一个具有高度内部一致性的量表。CADE总分与ADOS分数高度相关,相关系数在0.52 - 0.86之间,并且能够区分诊断为ASD的参与者和未诊断为ASD的参与者(p < 0.001)。受试者工作特征(ROC)曲线分析表明CADE总分具有出色的诊断准确性(曲线下面积 = 0.998)。结果表明,CADE可以作为评估ASD的一种有效且准确的方法。文中还讨论了CADE使用的局限性和意义。