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Despite consensus on the importance of early detection and intervention for autistic children, health disparities exist, limiting access to timely services. One specific service type in the United States is Individuals with Disabilities Education Act, Part C Early Intervention programs, which are federally funded interventions for children birth-to-three with developmental delays. This study aimed to assess access to Part C, Early Intervention services for children who were evaluated for autism spectrum disorder and to examine factors that predicted parent-reported access to these services. This study extracted sociodemographic and service access data from the medical records of 709 children aged 12-40 months who were evaluated for autism spectrum disorder. Results showed that only 50% of the sample had reportedly accessed Part C, Early Intervention services. Those who identified as Black had decreased odds of having accessed Part C, Early Intervention, relative to those who identified as White, while those with a lower age of first parent concern had increased odds of having accessed Part C, Early Intervention. When inputting the independently significant variables into the model, both variables, identifying as Black and a lower age of first concern, remained significantly associated with accessing Part C, Early Intervention. Future work should investigate how these disparities come to be.

Differential diagnosis of young children with suspected autism spectrum disorder (ASD) is challenging, and clinician uncertainty about a child's diagnosis may contribute to misdiagnosis and subsequent delays in access to early treatment. The current study was designed to replicate and expand a recent report in this Journal (McDonnell et al. in "J Autism Dev Disord," v49:1391-1401, https://doi.org/10.1080/15374416.2020.1823850, 2019), in which only 60% of diagnoses were made with complete certainty by clinicians evaluating 478 toddlers and preschool children referred for possible ASD to specialized clinics. In this study, secondary analyses were performed on diagnostic, demographic and clinical data for 496 16-30-month-old children who were consecutive referrals to a 6-site clinical trial executed by specialized centers with experienced clinicians following best-practice procedures for the diagnosis of ASD. Overall, 70.2% of diagnoses were made with complete certainty. The most important factor associated with clinician uncertainty was mid-level autism-related symptomatology. Mid-level verbal age equivalents were also associated with clinician uncertainty, but measures of symptomatology were stronger predictors. None of the socio-demographic variables, including sex of the child, was significantly associated with clinician certainty. Close to one third of early diagnoses of ASD are made with a degree of uncertainty. The delineation of specific ranges on the ADOS-2 most likely to result in clinician uncertainty identified in this study may provide an opportunity to reduce random subjectivity in diagnostic decision-making via calibration of young-child diagnostic thresholds based on later-age longitudinal diagnostic outcome data, and via standardization of decision-making in regard to clinical scenarios frequently encountered by clinicians.