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Primary Care Clinician and Child Characteristics Impacting Autism Surveillance
Journal article   Open access   Peer reviewed

Primary Care Clinician and Child Characteristics Impacting Autism Surveillance

Lashae N. Williams, Andrea Trubanova Wieckowski, Mary F. S. Dieckhaus, Yael G. Dai, Fengqing Zhang, Thyde Dumont-Mathieu, Marianne Barton, Deborah Fein and Diana L. Robins
Brain sciences, v 13(1)
22 Dec 2022
DOI: https://doi.org/10.3390/brainsci13010018
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.3390/brainsci13010018View
Published, Version of Record (VoR)CC BY V4.0,  Open

Abstract

Early detection of autism provides access to early intervention and subsequently fewer lifelong challenges. However, disparities in screening have been associated with socioeconomic status (SES) and race, and disparities in surveillance have been associated with clinician knowledge and beliefs about autism identification. The present study examines associations between demographic variables and clinician beliefs, and agreement between screening results and clinician surveillance. Surveillance included activities used by the primary care clinicians (PCCs) to assess risk for autism. PCCs reported their beliefs about autism screening and identification, their sex, race, years in practice, and racial distribution of their patient population. Children’s demographic information was also collected. PCCs identified children as having, or not having, an increased likelihood of autism, and parents of children completed an autism screener. Agreement between screening and surveillance results were examined across PCC, practice, and child demographics. Higher confidence in autism knowledge and screening resources, female PCC sex, and majority White practice patient demographics all predicted agreement between screening and surveillance. Female child sex and higher maternal education also predicted agreement between screening and surveillance. These findings highlight the importance of PCC screening beliefs and child and PCC demographics on the autism identification process.

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8 Record Views
3 citations in Web of Science
2 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Neurosciences
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