Preliminary Validation and Feasibility of the Autism Detection in Early Childhood-Virtual (ADEC-V) for Autism Telehealth Evaluations in a Hospital Setting

Elizabeth M. Kryszak, Charles M. Albright, Kevin G. Stephenson, Rose E. Nevill, Darren Hedley, Claire O. Burns, Robyn L. Young, Eric M. Butter, Kerrigan Vargo, James A. Mulick

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Number of pages11
JournalJournal of Autism and Developmental Disorders
Early online date9 Feb 2022
DOIs
Publication statusE-pub ahead of print - 9 Feb 2022

Keywords

  • Assessment
  • Autism spectrum disorder
  • Psychometrics
  • Screening
  • Telemedicine
  • Young children

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