Evaluating the Efficiency and Equity of Autism Diagnoses via Telehealth During COVID-19.

Given existing barriers to a timely autism diagnosis, this study compares the efficiency and equity of diagnoses conducted in-person vs. telehealth in a developmental behavioral pediatrics setting. The transition to telehealth was prompted by the COVID-19 pandemic. Eleven months of clinic data in electronic medical records were retrospectively analyzed for children diagnosed with autism in-person (N = 71) vs. telehealth (N = 45). Time to autism diagnosis, patient demographics, and deferred diagnoses did not significantly differ across visit types. However, privately insured patients and families living farther from the clinic had a longer time to diagnosis via telehealth vs. in-person. Results of this exploratory study highlight the feasibility of telehealth evaluations for autism and which families may benefit from additional support to ensure a timely diagnosis.

Improving Efficiency and Equity in Early Autism Evaluations: The (S)TAAR Model.

This paper describes the (Sin Exclusión) Transdisciplinary Autism Assessment and Resources ([S]TAAR) model and presents early metrics tracking efficiency and equity in access to high-quality comprehensive autism evaluations for young children. Retrospective chart reviews over one year (08/2018-08/2019) with n = 173 children were reviewed. Through care coordination with community providers, the model was developed to meet local needs by increasing throughput of children (< 4 years old) evaluated by a transdisciplinary team. Team-based processes included pre-visit triage, synchronous evaluation procedures, case conferencing, huddles, and care coordination. The model led to increased patient throughput, reductions in waitlist and time to diagnosis, and improved provider satisfaction. Improvements in access to care were equitable across patient race, ethnicity, language, and insurance type.

Comparing methods for assessing receptive language skills in minimally verbal children and adolescents with autism spectrum disorders.

This research addresses the challenges of assessing receptive language abilities in minimally verbal children with autism spectrum disorder by comparing several adapted measurement tools: a standardized direct assessment of receptive vocabulary (i.e. Peabody Picture Vocabulary Test-4); caregiver report measures including scores on the Vineland-II Communication domain and a vocabulary questionnaire consisting of a list of words ranging from simple, developmentally early, to more advanced words expected to be understood by at least some older children and adolescents; an eye-tracking test of word comprehension, using a word-image pair matching paradigm similar to that often used in studies of infant language acquisition; and a computerized assessment using a touch screen for directly measuring word comprehension with the same stimuli used in the eye-tracking experiment. Results of this multiple-method approach revealed significant heterogeneity in receptive language abilities across participants and across assessment methods. Our findings underscore the need to find individualized approaches for capturing the potential for language comprehension of minimally verbal children with autism spectrum disorder who remain otherwise untestable, using several types of assessment that may include methods based on eye-tracking or touch-screen responding.