Webster, Amanda A., Alfuraydan, Manahil, Croxall, Jodie, Hurt, Lisa ORCID: https://orcid.org/0000-0002-2741-5383, Kerr, Mike and Brophy, Sinead 2020. Use of telehealth for facilitating the diagnostic assessment of Autism Spectrum Disorder (ASD): A scoping review. PLoS ONE 15 (7) , e0236415. 10.1371/journal.pone.0236415 |
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Abstract
There is a significant delay between seeking help and a confirmed diagnosis of Autism Spectrum Disorder (ASD). This delay can lead to poor outcomes for both the families and individuals. Telehealth potentially offers a way of improving the diagnostic pathway for ASD. We conducted a scoping review examining which telehealth approaches are used in the diagnosis and assessment of ASD in children and adults, whether they are feasible and acceptable, and how they compare with face-to-face diagnosis and assessment methods. A search for all peer-reviewed articles, combining the terms of autism and telehealth was conducted from 2000 to 2019. A total of 10 studies were identified for inclusion in the review. This review of the literature found there to be two methods of using telehealth: (a) Real-Time method e.g. video conferencing that enables teams in different areas to consult with the families and to assess the child/adult in real time and (b) A Store-and-Forward method as Naturalistic Observation Diagnostic Assessment (NODA) system to upload videos of child’s behaviors to a webportal that enables the clinicians to make an assessment remotely. The findings were positive, finding there to be high agreement in terms of the diagnosis between remote methods and face to face methods and with high levels of satisfaction among the families and clinicians. This field is in the very early stages and so only studies with small sample size using surveys and interviews were identified but the findings suggest that there is potential for telehealth methods to improve access to assessment and diagnosis of ASD used in conjunction with existing methods, especially for those with clear autism traits and adults with ASD. Larger randomised controlled trials of this technology are warranted.
Item Type: | Article |
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Date Type: | Published Online |
Status: | Published |
Schools: | Medicine |
Publisher: | Public Library of Science |
ISSN: | 1932-6203 |
Date of First Compliant Deposit: | 31 July 2020 |
Date of Acceptance: | 6 July 2020 |
Last Modified: | 05 May 2023 22:28 |
URI: | https://orca.cardiff.ac.uk/id/eprint/133891 |
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