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Journal of Autism and Developmental Disorders

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17-06-2020 | Original Paper

Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder

Auteurs: David Trembath, Rebecca Sutherland, Teena Caithness, Cheryl Dissanayake, Valsamma Eapen, Kathryn Fordyce, Grace Frost, Teresa Iacono, Nicole Mahler, Anne Masi, Jessica Paynter, Katherine Pye, Sheena Reilly, Veronica Rose, Stephanie Sievers, Abirami Thirumanickam, Marleen Westerveld, Madonna Tucker

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 2/2021

Abstract

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.

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Titel: Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder
Auteurs: David Trembath
Rebecca Sutherland
Teena Caithness
Cheryl Dissanayake
Valsamma Eapen
Kathryn Fordyce
Grace Frost
Teresa Iacono
Nicole Mahler
Anne Masi
Jessica Paynter
Katherine Pye
Sheena Reilly
Veronica Rose
Stephanie Sievers
Abirami Thirumanickam
Marleen Westerveld
Madonna Tucker
Publicatiedatum: 17-06-2020
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 2/2021
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-020-04550-z

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