Nationwide Children's Hospital, Columbus, OH, USA.
Department of Pediatrics and Psychology, The Ohio State University, Columbus, OH, USA.
J Autism Dev Disord. 2022 Dec;52(12):5139-5149. doi: 10.1007/s10803-022-05433-1. Epub 2022 Feb 9.
This study provided preliminary validation of the Autism Detection in Early Childhood-Virtual (ADEC-V) for telehealth assessment of possible autism. Participants were 121 children (24.79% female) aged 18-47 months who completed telehealth evaluations at a large pediatric hospital in the Midwestern United States between October 2020 and February 2021. The ADEC-V showed good sensitivity (0.82) and specificity (0.78) and was significantly correlated with other ASD symptom measures (i.e., CARS-2, ADI-R). Internal consistency was acceptable (α = 0.77). These results need replication in a larger and broader sample including more children without ASD. This preliminary validation study identifies the ADEC-V as a promising measure for telehealth ASD assessments in young children.
本研究初步验证了 Autism Detection in Early Childhood-Virtual（ADEC-V）可用于远程医疗评估可能的自闭症。参与者为 121 名 18-47 个月大的儿童（24.79%为女性），他们于 2020 年 10 月至 2021 年 2 月在美国中西部的一家大型儿科医院接受了远程医疗评估。ADEC-V 显示出良好的敏感性（0.82）和特异性（0.78），与其他自闭症症状测量（即 CARS-2、ADI-R）显著相关。内部一致性可接受（α=0.77）。这些结果需要在更大、更广泛的样本中进行复制，包括更多没有自闭症的儿童。这项初步验证研究表明，ADEC-V 是一种很有前途的远程医疗自闭症评估工具，适用于幼儿。
