The Social Attention and Communication Study (SACS), on which this application is based, has been remarkably accurate in detecting autism. In our studies, 81% of children who were identified as having a high likelihood for autism by Maternal Child Health nurses, did in fact have autism. Many of the remaining children who were assessed with a high likelihood had other related developmental conditions, such as language or developmental delays.
The complete academic papers by Dr Josephine Barbaro and Professor Cheryl Dissanayake discussing the first SACS program were published in 2010 and 2013 and are available on PubMed, or you can email us at email@example.com for a copy. The results of the second SACS program are currently being collected.
This video-led self-assessment app is based on comprehensive, rigorous, world-class research conducted at the Olga Tennison Autism Research Centre. The assessment method underlying this app was 81% accurate in the early detection of autism and other related developmental conditions.
ASDetect guides parents through the assessment questions using specially produced videos. There are videos of children both with and without autism. Each one shows a development milestone, and some questions also have activities that you can do with your child to help you answer the question.
Young children are constantly learning. Much of their learning comes from other people: their parents, caregivers, other children and even strangers. Every day, through interacting with others, your child’s brain is being moulded. We call this brain plasticity. In autism and related conditions, a child’s ability to learn from others is affected. But if the likelihood of autism is identified early, then parents and caregivers have more time to help children reach their full potential.