Implementing the Get SET Early Model in a Community Setting to Lower the Age of ASD Diagnosis.

OBJECTIVE: The objective of this study was to implement a validated, university-based early detection program, the Get SET Early model, in a community-based setting. Get SET was developed to improve Screening, Evaluation, and Treatment referral practices. Specifically, its purpose was to lower the age of diagnosis and enable toddlers with autism spectrum disorder (ASD) to begin treatment by 36 months. METHODS: One hundred nine pediatric health care providers were recruited to administer the Communication and Symbolic Behavior Scales Developmental Profile Infant-Toddler Checklist at 12-month, 18-month, and 24-month well-baby visits and referred toddlers whose scores indicated the need for a developmental evaluation. Licensed psychologists were trained to provide diagnostic evaluations to toddlers as young as 12 months. Mean age of diagnosis was compared with current population rates. RESULTS: In 4 years, 45,504 screens were administered at well-baby visits, and 648 children were evaluated at least 1 time. The overall median age for ASD diagnosis was 22 months, which is significantly lower than the median age reported by the CDC (57 months). For children screened at 12 months, the age of first diagnosis was significantly lower at 15 months. Of the 350 children who completed at least 1 follow-up evaluation, 323 were diagnosed with ASD or another delay, and 239 (74%) were enrolled in a treatment program. CONCLUSION: Toddlers with ASD were diagnosed nearly 3 years earlier than the most recent CDC report, which allowed children to start a treatment program by 36 months. Overall, Get SET Early was an effective strategy for improving the current approach to screening, evaluation, and treatment. Efforts to demonstrate sustainability are underway.

Feasibility and acceptability of a telehealth model for autism diagnostic evaluations in children, adolescents, and adults.

This study examined the feasibility and acceptability of a telehealth diagnostic model deployed at an autism center in the southwestern United States to safely provide autism spectrum disorder (ASD) diagnostic evaluations to children, adolescents, and adults during the COVID-19 pandemic. Participants included all clients for whom a telehealth diagnostic evaluation was scheduled at the diagnostic clinic (n = 121) over a 6-month period. Of 121 scheduled clients, 102 (84%) completed the telehealth evaluation. A diagnostic determination was made for 91% of clients (93 out of 102) using only telehealth procedures. Nine participants (two females; ages 3 to 11 years) required an in-person evaluation. Responses from psychologist and parent acceptability surveys indicated the model was acceptable for most clients. Psychologist ratings suggested that telehealth modalities used in the current study may be less acceptable for evaluating school-aged children with subtle presentations compared to children in the early developmental period, adolescents, and adults. Parents of females reported higher acceptability than parents of males. Findings contribute to the small but growing literature on feasibility and acceptability of telehealth evaluations for ASD and have implications for improving access to care during and after the COVID-19 pandemic. LAY SUMMARY: This study described telehealth methods for evaluating children, adolescents, and adults for autism spectrum disorder. Telehealth methods were generally acceptable to psychologists conducting the evaluations and parents of diagnostic clients. Psychologists reported the methods to be less acceptable for school-aged children and parents of males found the methods less acceptable than parents of females. The telehealth methods described may help to increase access to diagnostic professionals and reduce wait times for evaluations during and after the COVID-19 pandemic.