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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 ([alpha] = 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.

This study examined clinician insights into telehealth assessment services for autism spectrum disorder implemented during the COVID-19 pandemic. 35 clinicians from multiple disciplines across 17 sites in the Autism Care Network were interviewed. Themes identified through qualitative analyses included factors related to confidence in diagnosis (impressions of in-home observation; child and family factors that affected diagnostic confidence; changes in rapport); patient and family factors related to telehealth (perceived family benefits of and barriers to telehealth; factors related to healthcare disparities; factors specific to non-native English speakers); and institutional and workplace factors related to transitioning to telehealth (institutional support; changes to efficacy, attendance, and work satisfaction). Results suggest that telehealth has potential to be an effective tool in autism assessment practice.

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 ([alpha] = 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., Author(s): Elizabeth M. Kryszak [sup.1] [sup.2] [sup.6] , Charles M. Albright [sup.1] [sup.2] , Kevin G. Stephenson [sup.1] [sup.2] , Rose E. Nevill [sup.3] , Darren Hedley [sup.4] , Claire [...]

This study examined clinician insights into telehealth assessment services for autism spectrum disorder implemented during the COVID-19 pandemic. 35 clinicians from multiple disciplines across 17 sites in the Autism Care Network were interviewed. Themes identified through qualitative analyses included factors related to confidence in diagnosis (impressions of in-home observation; child and family factors that affected diagnostic confidence; changes in rapport); patient and family factors related to telehealth (perceived family benefits of and barriers to telehealth; factors related to healthcare disparities; factors specific to non-native English speakers); and institutional and workplace factors related to transitioning to telehealth (institutional support; changes to efficacy, attendance, and work satisfaction). Results suggest that telehealth has potential to be an effective tool in autism assessment practice., Author(s): Elizabeth M. Kryszak [sup.1] [sup.2] [sup.5] , Charles M. Albright [sup.1] [sup.2] , Lucy A. Fell [sup.3] , Eric M. Butter [sup.1] [sup.2] , Karen A. Kuhlthau [sup.3] [sup.4] [...]