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

评估新冠疫情期间通过远程医疗进行自闭症诊断的效率和公平性

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Abstract

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.

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