Assessing the Functional Language of Children with Autism Spectrum Disorder via Telehealth

Background & Aims: Access to specialized healthcare for children with autism spectrum disorder has long been hindered by limited availability of qualified clinicians, particularly in rural and economically disadvantaged areas. The COVID-19 pandemic exacerbated these disparities, overwhelming traditional healthcare models and highlighting the need for innovative solutions. Telehealth emerged as a critical tool during the pandemic, facilitating continued access to care, particularly for underserved populations. We aimed to investigate the extent to which functional language deficits can be identified and assessed in children with autism, and ruled out in neurotypical children, via telehealth. Methods: This study investigated the feasibility and effectiveness of using telehealth for assessing verbal behavior deficits in children diagnosed with autism, comparing them to neurotypical peers, and exploring the potential for telehealth to expand access to specialized intervention. Twelve children, seven of whom had an autism diagnosis, participated in telehealth-based functional analyses of verbal behavior. Results: Results indicated that children with autism exhibited statistically significant differences in across functional language domains, whereas no such differences were identified in neurotypical peers. No false positives or false negatives were detected. At follow-up, participants with autism showed statistically significant improvements in verbal language skills. Conclusions: Our findings suggest that telehealth is a reliable and valid method for assessing the verbal behavior of children with autism. This research supports the use of telehealth to bridge healthcare gaps for families in remote or underserved areas. By providing an accessible platform for functional language assessment, telehealth offers a promising avenue for enhancing early intervention and improving long-term outcomes. Implications: Our findings highlight the importance of individualized interventions to address verbal behavior deficits of children with autism. Future research is necessary to explore the scalability of these findings and their application in broader, more diverse populations.

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Publication Details

Published
2025-09-02
DOI
https://doi.org/10.31234/osf.io/nkyux_v2
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
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article

Assessing the Functional Language of Children with Autism Spectrum Disorder via Telehealth

Lee Mason, Alexis Bolds, Maeve Gavagan
Autism Spectrum Disorder Research
article

Assessing the Functional Language of Children with Autism Spectrum Disorder via Telehealth

Lee Mason, Alexis Bolds, Maeve Gavagan
article en

Abstract

Background & Aims: Access to specialized healthcare for children with autism spectrum disorder has long been hindered by limited availability of qualified clinicians, particularly in rural and economically disadvantaged areas. The COVID-19 pandemic exacerbated these disparities, overwhelming traditional healthcare models and highlighting the need for innovative solutions. Telehealth emerged as a critical tool during the pandemic, facilitating continued access to care, particularly for underserved populations. We aimed to investigate the extent to which functional language deficits can be identified and assessed in children with autism, and ruled out in neurotypical children, via telehealth. Methods: This study investigated the feasibility and effectiveness of using telehealth for assessing verbal behavior deficits in children diagnosed with autism, comparing them to neurotypical peers, and exploring the potential for telehealth to expand access to specialized intervention. Twelve children, seven of whom had an autism diagnosis, participated in telehealth-based functional analyses of verbal behavior. Results: Results indicated that children with autism exhibited statistically significant differences in across functional language domains, whereas no such differences were identified in neurotypical peers. No false positives or false negatives were detected. At follow-up, participants with autism showed statistically significant improvements in verbal language skills. Conclusions: Our findings suggest that telehealth is a reliable and valid method for assessing the verbal behavior of children with autism. This research supports the use of telehealth to bridge healthcare gaps for families in remote or underserved areas. By providing an accessible platform for functional language assessment, telehealth offers a promising avenue for enhancing early intervention and improving long-term outcomes. Implications: Our findings highlight the importance of individualized interventions to address verbal behavior deficits of children with autism. Future research is necessary to explore the scalability of these findings and their application in broader, more diverse populations.

Openalex Percentile: Top 77%
Autism Spectrum Disorder Research
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