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Exploring telehealth during Covid for assessing autism spectrum disorder in a diverse sample

Bibliographic Data

ID21376565
AuthorsKatherine K M Stavropoulos (0000-0001-6371-7808, Graduate School of Education University of California, Riverside Riverside CA USA, corresponding author), Michelle Heyman (Graduate School of Education University of California, Riverside Riverside CA USA), Giselle Salinas (0000-0001-6577-3950, Graduate School of Education University of California, Riverside Riverside CA USA), Elizabeth Baker (0000-0002-0600-4198, Graduate School of Education University of California, Riverside Riverside CA USA), Jan Blacher (0000-0001-8643-5651, Graduate School of Education University of California, Riverside Riverside CA USA)
Year2022
Volume59
Issue7
Pages1319-1334
Publication date2022-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePsychology in the Schools (JOURNAL)
Journal identifiersISSN: 0033-3085 • E-ISSN: 1520-6807
PublisherWiley (PUBLISHER • GB)
DOI10.1002/pits.22672
PMID35572181
OpenAlexW4220690076
LanguageEN
Citations received1
References cited38

Due to the coronavirus disease 2019 (COVID‐19) pandemic, the importance of telehealth has rapidly increased, in particular as many in‐person clinics have closed. Early intervention is crucial for improving outcomes in children with autism spectrum disorder (ASD). As such, the need for timely assessments and diagnoses remains despite COVID‐19‐related closures. This study offers preliminary data collected from 23 children assessed through a no‐cost autism clinic in Southern California using a novel telehealth model. This includes an overview of an adapted, telehealth version of in‐person observational assessment techniques for diagnosing autism. In addition, preliminary data on social validity assessed at two points are presented. Findings suggest that caregivers found the telehealth assessment procedures acceptable and convenient, and overall were satisfied with both the assessment and the written report/verbal feedback. Implications for future uses of telehealth are discussed, including how telehealth can assist with decision‐making around school‐based services and/or placement

Applied behavior analysis · Autism · Autism spectrum disorder · Coronavirus disease 2019 (COVID-19) · Disease · Health care · Intervention (counseling) · Medical diagnosis · Observational study · Pandemic · Psychiatry · Sample (material) · Telehealth · Telemedicine · Autism Spectrum Disorder Research · Child Development and Digital Technology · Clinical Psychology · Family and Disability Support Research · Medicine · Psychology

  • Exploring telehealth during Covid for assessing autism spectrum disorder in a diverse sample

    Open Access•Katherine K M Stavropoulos, Michelle Heyman et al.•Psychology in the Schools•2022

  • Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014

    Open Access•Jon Baio, Lisa D Wiggins et al.•MMWR. Surveillance Summaries•2018

  • Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016

    Open Access•Matthew J Maenner, Kelly Shaw et al.•MMWR. Surveillance Summaries•2020

  • Exploring telehealth during Covid for assessing autism spectrum disorder in a diverse sample

    Open Access•Katherine K M Stavropoulos, Michelle Heyman et al.•Psychology in the Schools•2022

Unique citing works1
Citations per year0.25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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Open DOIOpen Access
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