Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with substantial clinical heterogeneity, especially in language and communication ability. There is a need for validated language outcome measures that show sensitivity to true change for this population. We used Natural Language Processing to analyze expressive language transcripts of 64 highly-verbal children and young adults (age: 6-23 years, mean 12.
View Article and Find Full Text PDFPragmatic language difficulties, including unusual filler usage, are common among children with Autism Spectrum Disorder (ASD). This study investigated "um" and "uh" usage in children with ASD and typically developing (TD) controls. We analyzed transcribed Autism Diagnostic Observation Schedule (ADOS) sessions for 182 children (117 ASD, 65 TD), aged 4 to 15.
View Article and Find Full Text PDFMeasurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome and costly. Better language outcome measures are needed. Using language transcripts, we generated Automated Language Measures (ALMs) and tested their validity.
View Article and Find Full Text PDFService-learning is a practice that is beneficial for both students and community participants. This article presents the service-learning experience of senior-level undergraduate nursing students at a southeastern U.S.
View Article and Find Full Text PDFBackground: evaluation of the 'Keep Well At Home' (KWAH) Project in West London indicated that a programme of screening persons aged 75 and over had not reduced rates of emergency attendances and admissions to hospital. However, coverage of the target population was incomplete. The present analysis addresses 'efficacy'-whether individuals who completed the screening protocol as intended did subsequently use Accident & Emergency (A&E) services less often.
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