| Literature DB >> 32556833 |
David Trembath1,2, Rebecca Sutherland3,4, Teena Caithness3, Cheryl Dissanayake5, Valsamma Eapen6, Kathryn Fordyce7, Grace Frost8, Teresa Iacono9, Nicole Mahler3, Anne Masi6, Jessica Paynter3, Katherine Pye10,11, Sheena Reilly3, Veronica Rose12, Stephanie Sievers3, Abirami Thirumanickam3,13, Marleen Westerveld3, Madonna Tucker14.
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.Entities:
Keywords: Autism; Communication; Minimally verbal; Predictor; Speech pathology
Mesh:
Year: 2021 PMID: 32556833 DOI: 10.1007/s10803-020-04550-z
Source DB: PubMed Journal: J Autism Dev Disord ISSN: 0162-3257