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The Core Elements of Strength-Based Technology Programs for Youth on the Autism Spectrum: A Systematic Review of Qualitative Evidence
School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia; Curtin Autism Research Group (CARG), Curtin University, Perth, WA, Australia.
Jönköping University, School of Education and Communication, HLK, CHILD. School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia; Curtin Autism Research Group (CARG), Curtin University, Perth, WA, Australia.ORCID iD: 0000-0001-7275-3472
School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia; Curtin Autism Research Group (CARG), Curtin University, Perth, WA, Australia.
School of Mechanical Engineering, Faculty of Science and Engineering, Curtin University, Perth, WA, Australia.
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2023 (English)In: Review Journal of Autism and Developmental Disorders, ISSN 2195-7177, Vol. 10, p. 441-457Article, review/survey (Refereed) Published
Abstract [en]

Strength-based programs that incorporate technology have gained increasing popularity as an approach to improve outcomes for individuals with autism spectrum disorder (ASD). Despite this, the core elements of strength-based technology programs remain poorly described. This study aimed to identify the core elements of strength-based technology programs for youth with ASD through a systematic review of the literature. Electronic databases were searched for qualitative studies delivering strength-based technology-driven interventions to youth on the spectrum. Ten of the 874 studies identified met the criteria. Qualitative analysis revealed three core elements of strength-based technology programs for this population: mutual respect, demonstrating skills, and interests. The findings underpin the design of future strength-based technology programs for youth with ASD.

Place, publisher, year, edition, pages
Springer, 2023. Vol. 10, p. 441-457
Keywords [en]
Autism spectrum disorder, Strength-based approach, Meta-ethnography, Qualitative research, Computer coding, Technology programs
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:hj:diva-55893DOI: 10.1007/s40489-022-00302-0ISI: 000750294900001Scopus ID: 2-s2.0-85123959863Local ID: HOA;;796108OAI: oai:DiVA.org:hj-55893DiVA, id: diva2:1637645
Available from: 2022-02-14 Created: 2022-02-14 Last updated: 2023-09-07Bibliographically approved

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Falkmer, Marita

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