Evaluating the Efficiency and Equity of Autism Diagnoses via Telehealth During COVID-19
- PMID: 37074489
- PMCID: PMC10115372
- DOI: 10.1007/s10803-023-05986-9
Evaluating the Efficiency and Equity of Autism Diagnoses via Telehealth During COVID-19
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.
Keywords: Autism; Diagnosis; Equity; Pediatrics; Telehealth.
© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Conflict of interest statement
Declarations. Conflict of interest: The authors declare they have no conflicts of interest related to this work. Informed consent: The study was approved by the University of Texas at Austin IRB (# 2020-03-0040) as a research study involving human participants. Research Involving Human and Animal Rights: The study was approved by the University of Texas at Austin IRB (# 2020-03-0040) as a research study involving human participants.
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