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Clinician proposed predictors of spoken language outcomes for minimally verbal children with Autism Spectrum Disorder
journal contributionposted on 28.10.2020, 06:38 by David Trembath, R Sutherland, Kristina Caithness, Anne Dissanayake, V Eapen, K Fordyce, G Frost, Teresa Iacono, N Mahler, A Masi, J Paynter, Katherine Pye, S Reilly, Veronica Frewer, S Sievers, A Thirumanickam, M Westerveld, M Tucker
© 2020, Springer Science+Business Media, LLC, part of Springer Nature. 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.