| Title: |
Primary Care Clinician and Child Characteristics Impacting Autism Surveillance |
| Authors: |
Lashae N. Williams; Andrea Trubanova Wieckowski; Mary F. S. Dieckhaus; Yael G. Dai; Fengqing Zhang; Thyde Dumont-Mathieu; Marianne Barton; Deborah Fein; Diana L. Robins |
| Source: |
Brain Sciences, Vol 13, Iss 18, p 18 (2022) |
| Publisher Information: |
MDPI AG |
| Publication Year: |
2022 |
| Collection: |
Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: |
autism; detection; disparities; primary care; Neurosciences. Biological psychiatry. Neuropsychiatry; RC321-571 |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://www.mdpi.com/2076-3425/13/1/18; https://doaj.org/toc/2076-3425; https://doaj.org/article/517593f9b2fd40659697b947f6452bed |
| DOI: |
10.3390/brainsci13010018 |
| Availability: |
https://doi.org/10.3390/brainsci13010018; https://doaj.org/article/517593f9b2fd40659697b947f6452bed |
| Accession Number: |
edsbas.C34DC3C |
| Database: |
BASE |