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Comparison of the Autism Diagnostic Observation Schedule and Childhood Autism Rating Scale in the Diagnosis of Autism Spectrum Disorder: A Preliminary Study
J Korean Acad Child Adolesc Psychiatry 2018; 29(4): 172-177
Published online October 1, 2018
© 2018 Korean Academy of Child and Adolescent Psychiatry.

Hyung Seo Park, So Young Yi, Sun Ah Yoon, and Soon-Beom Hong

Department of Psychiatry, Seoul National University Hospital, Seoul, Korea
Correspondence to: Soon-Beom Hong, Department of Psychiatry, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
Tel: +82-2-2072-4208, Fax: +82-2-747-2471, E-mail: hsbmdmore@hanmail.net
Received May 31, 2018; Revised July 26, 2018; Accepted August 24, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Objectives: We examined the agreement between the Autism Diagnostic Observation Schedule (ADOS) and the Childhood Autism Rating Scale (CARS) in the diagnosis of autism spectrum disorder.
Methods: The ADOS and CARS scores of 78 children were retrospectively collected from a chart review. A correlation analysis was performed to examine the concurrent validity between the two measures. Using the receiver operating characteristic (ROC) curve, we determined the optimal cut-off score of the CARS for identifying autism spectrum disorder.
Results: The CARS score was significantly correlated with the ADOS score (r=0.808, p<0.001). Taking ADOS as the ideal standard, the optimal cut-off scores of CARS for identifying autism and autism spectrum were 30 and 24.5, respectively.
Conclusion: We determined the optimal cut-off scores of CARS for screening and diagnosing autism spectrum disorder.
Keywords : Autism spectrum disorder; Autism Diagnostic Observation Schedule; Childhood Autism Rating Scale; Diagnosis; Screening.


October 2018, 29 (4)
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