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12-03-2018 | Original Paper

Early Identification of ASD Through Telemedicine: Potential Value for Underserved Populations

Auteurs: A. Pablo Juárez, Amy S. Weitlauf, Amy Nicholson, Anna Pasternak, Neill Broderick, Jeffrey Hine, J. Alacia Stainbrook, Zachary Warren

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 8/2018

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Abstract

Increasing access to diagnostic services is crucial for identifying ASD in young children. We therefore evaluated a telemedicine assessment procedure. First, we compared telediagnostic accuracy to blinded gold-standard evaluations (n = 20). ASD cases identified via telemedicine were confirmed by in-person evaluation. However, 20% of children diagnosed with ASD in-person were not diagnosed via telemedicine. Second, we evaluated telediagnostic feasibility and acceptability in a rural catchment. Children (n = 45) and caregivers completed the telemedicine procedure and provided feedback. Families indicated high levels of satisfaction. Remote diagnostic clinicians diagnosed 62% of children with ASD, but did not feel capable of ruling-in or out ASD in 13% of cases. Findings support preliminary feasibility, accuracy, and clinical utility of telemedicine-based assessment of ASD for young children.
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Metagegevens
Titel
Early Identification of ASD Through Telemedicine: Potential Value for Underserved Populations
Auteurs
A. Pablo Juárez
Amy S. Weitlauf
Amy Nicholson
Anna Pasternak
Neill Broderick
Jeffrey Hine
J. Alacia Stainbrook
Zachary Warren
Publicatiedatum
12-03-2018
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 8/2018
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-018-3524-y