Diagnosing autism spectrum disorder in community settings using the Development and Well-Being Assessment: validation in a UK population-based twin sample.

Fiona S McEwenCatherine S StewartEmma ColvertEmma WoodhouseSarah CurranNicola GillanVictoria HallettStephanie LietzTracy GarnettAngelica RonaldDeclan MurphyFrancesca HappéPatrick Bolton

Published in: Journal of child psychology and psychiatry, and allied disciplines (2015)

The DAWBA is a brief structured interview that showed good sensitivity and specificity in this general population sample. It requires little training, is easy to administer (online or by interview) and diagnosis is aided by an algorithm. It holds promise as a tool for assisting with assessment in community settings and may help services implement the recommendations made by NICE and the American Academy of Pediatrics regarding diagnosis of young people on the autism spectrum.

Keyphrases

autism spectrum disorder
healthcare
mental health
intellectual disability
machine learning
primary care
social media
deep learning
big data
cross sectional
clinical practice
artificial intelligence