Accurate identification of autism is a pressing challenge for rural, medically underserved communities. Tele-assessment could address some barriers to care by increasing access to expert diagnosticians, but questions remain regarding how best to implement these approaches. To gather community input regarding rural families' perceptions and use of…

The rate of children being diagnosed with autism is growing rapidly. Currently, 1 in every 36 children born will go on to have an autism diagnosis (Centers for Disease Control and Prevention, 2023). Teachers and early educators working with young children do not have the training required to identify children at risk for this developmental…

A diagnosis of autism typically depends on clinical assessments by highly trained professionals. This high resource demand poses a challenge in low-resource settings. Digital assessment of neurodevelopmental symptoms by non-specialists provides a potential avenue to address this challenge. This cross-sectional case-control field study establishes…

Primary care providers are often the first to identify concerns for autism through routine screening in the first 2 years of life. However, most children do not receive a diagnosis until years later resulting in delays accessing appropriate intervention. Delays in diagnosis disproportionately impact those who are otherwise disadvantaged by society…

Caregivers can experience significant challenges following their child's autism diagnosis and often seek informational, relational and emotional support. Post-diagnostic support for caregivers has received relatively little research attention and represents a significant gap in the international evidence base. We used an iterative codesign process…

The objective of the study is to report the feasibility, acceptability, and adoption of the "Access to Tailored Autism Integrated Care (ATTAIN)," a model to identify mental health needs and link to mental health care for autistic children. The Exploration, Preparation, Implementation, and Sustainment framework informed implementation…