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23-09-2023 | Original Paper

Validation of an Enhanced Telehealth Platform for Toddlers at Increased Likelihood for a Diagnosis of Autism Spectrum Disorder (ASD)

Auteurs: Michael J. Morrier, Allison J. Schwartz, Catherine E. Rice, Amanda Platner, Opal Y. Ousley, Sara Kassem, Ashwin V. Krishnan, Catherine Lord, Christopher J. Smith, Ron Oberleitner

Gepubliceerd in: Journal of Autism and Developmental Disorders

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Abstract

Use of telehealth assessments for toddlers at increased likelihood of autism spectrum disorder (ASD) began prior to the global COVID-19 pandemic; however, the value of telehealth assessments as an alternative to in-person assessment (IPA) became clearer during the pandemic. The Naturalistic Observation Diagnosis Assessment (NODA™), previously demonstrated as a valid and reliable tool to evaluate asynchronous behaviors for early diagnosis, was enhanced to add synchronous collection of behaviors to assist clinicians in making a differential diagnosis of ASD. This study was conducted to validate the information gathered through NODA-Enhanced (NODA-E™) as compared to a gold standard IPA. Forty-nine toddlers aged 16.0–32.1 months of age, recruited through community pediatric offices and a tertiary ASD clinic, participated in both NODA-E and IPA assessments. There was high agreement between the two assessment protocols for overall diagnosis (46 of 49 cases; 93.6%; κ = .878), specific diagnostic criteria for social communication and social interaction (SCI; range 95.9–98%; κ = .918—.959), and for two of four criteria specified for restricted and repetitive behaviors (RRB; range 87.8–98%; κ = .755 and .959). There was lower agreement for two subcategories of RRBs (range 65.3–67.3%; κ = .306 and .347). NODA-E is a tool that can assist clinicians in making reliable and valid early ASD diagnoses using both asynchronous and synchronous information gathered via telehealth and offers an additional tool within a clinician’s assessment toolbox.
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Metagegevens
Titel
Validation of an Enhanced Telehealth Platform for Toddlers at Increased Likelihood for a Diagnosis of Autism Spectrum Disorder (ASD)
Auteurs
Michael J. Morrier
Allison J. Schwartz
Catherine E. Rice
Amanda Platner
Opal Y. Ousley
Sara Kassem
Ashwin V. Krishnan
Catherine Lord
Christopher J. Smith
Ron Oberleitner
Publicatiedatum
23-09-2023
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-023-06116-1