Diagnosing autism spectrum disorder in community settings using the Development and Well‐Being Assessment: validation in a <scp>UK</scp> population‐based twin sample

Abstract

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.