Autism spectrum disorder (ASD) is among the most prevalent developmental disabilities (CDC, 2022b). It impacts over five-million Americans and one of the keys to assisting individuals with ASD live successful and productive lives, is early diagnosis (Hus & Segal, 2021). However, many individuals reside in areas with limited access to qualified diagnosticians or face other barriers preventing them from obtaining a formal ASD diagnosis. With the onset of the COVID-19 pandemic came an increase in the utilization of telemedicine for healthcare services. The rise in telemedicine utilization could be expanded to conduct diagnostic assessments for ASD in a virtual manner, thus overcoming some of the barriers families face when obtaining professional assessments for their child (Haque, 2021). However, little is known about how clinicians and diagnosticians view this potential use of telemedicine. This descriptive study aimed to identify and assess clinicians' experiences and opinion of the; (a) role and value of using telemedicine for diagnosing mental health disorders; (b) the role and value of telemedicine for the specific use among patients being evaluated for ASD; (c) and the feasibility, ease of use, and acceptability of using telemedicine when compared to existing methods among those clinicians who have used the technology.
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Title
Assessing the Efficacy of Diagnosing Autism Spectrum Disorder in Children via Telemedicine
Creators
Asha Sethuraman - Drexel University, Drexel University (1970-)
Contributors
Linda Wilson (Advisor) - Drexel University, Drexel University (1970-)
Awarding Institution
Drexel University
Degree Awarded
Doctor of Health Science (D.H.Sc.)
Publisher
Drexel University; Philadelphia, Pennsylvania
Number of pages
65 pages
Resource Type
Dissertation
Language
English
Academic Unit
College of Nursing and Health Professions; Drexel University; Health Sciences
Other Identifier
991021872801404721
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