Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder
Author(s)
Trembath, David
Sutherland, Rebecca
Caithness, Teena
Dissanayake, Cheryl
Eapen, Valsamma
Fordyce, Kathryn
Frost, Grace
Iacono, Teresa
Mahler, Nicole
Masi, Anne
Paynter, Jessica
Pye, Katherine
Reilly, Sheena
Rose, Veronica
Sievers, Stephanie
Thirumanickam, Abirami
Westerveld, Marleen
Tucker, Madonna
Griffith University Author(s)
Year published
2020
Metadata
Show full item recordAbstract
Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights ...
View more >Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights into prelinguistic vocal behaviours. The participants suggested the potential value of dynamic assessment in predicting spoken language outcomes. The findings can inform efforts to developing clinically relevant methods for predicting children’s communication outcomes.
View less >
View more >Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights into prelinguistic vocal behaviours. The participants suggested the potential value of dynamic assessment in predicting spoken language outcomes. The findings can inform efforts to developing clinically relevant methods for predicting children’s communication outcomes.
View less >
Journal Title
Journal of Autism and Developmental Disorders
Note
This publication has been entered into Griffith Research Online as an Advanced Online Version.
Subject
Neurosciences
Education
Specialist studies in education
Psychology
Health sciences