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

A Pablo Juárez1,2,3, Amy S Weitlauf1,2, Amy Nicholson1,2

  • 1Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA.

Insights

Telemedicine shows promise for diagnosing autism spectrum disorder (ASD) in young children. While accurate in confirming cases, some children diagnosed in-person were missed via remote assessment, indicating room for improvement in early autism diagnosis.

Area of Science:

  • Developmental Pediatrics
  • Child Psychiatry
  • Telehealth and Digital Health

Background:

  • Early identification of autism spectrum disorder (ASD) is critical for timely intervention and improved outcomes in young children.
  • Access to diagnostic services, particularly in rural areas, remains a significant barrier to early ASD identification.
  • Telemedicine offers a potential solution to overcome geographical limitations and increase access to specialized diagnostic evaluations.

Purpose of the Study:

  • To evaluate the accuracy of a telemedicine assessment procedure for diagnosing ASD in young children compared to gold-standard evaluations.
  • To assess the feasibility and acceptability of a telemedicine-based ASD diagnostic procedure among families in a rural setting.
  • To determine the clinical utility of remote diagnostic clinicians in identifying and assessing young children for ASD.

Main Methods:

  • A comparative study evaluated telediagnostic accuracy against blinded, in-person gold-standard evaluations for ASD (n=20).
  • A feasibility and acceptability study involved children (n=45) and caregivers undergoing telemedicine ASD assessment in a rural area.
  • Data collected included diagnostic concordance, clinician confidence, and caregiver satisfaction with the telemedicine procedure.

Main Results:

  • Telemedicine correctly identified ASD cases confirmed by in-person evaluations, but missed 20% of children diagnosed with ASD in-person.
  • Remote clinicians diagnosed 62% of children with ASD, with 13% of cases deemed inconclusive for ruling in or out ASD.
  • Caregivers reported high satisfaction with the telemedicine procedure, indicating good feasibility and acceptability in a rural catchment.

Conclusions:

  • Telemedicine-based ASD assessment demonstrates preliminary feasibility, accuracy, and clinical utility for young children, especially in underserved areas.
  • While promising, the current telemedicine approach requires refinement to improve sensitivity in detecting all ASD cases.
  • Further research is warranted to optimize telediagnostic protocols and enhance clinician confidence in remote ASD evaluations.

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