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Primary Care Clinician and Child Characteristics Impacting Autism Surveillance
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855901/ https://www.ncbi.nlm.nih.gov/pubmed/36672000 http://dx.doi.org/10.3390/brainsci13010018 |
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author | Williams, Lashae N. Wieckowski, Andrea Trubanova Dieckhaus, Mary F. S. Dai, Yael G. Zhang, Fengqing Dumont-Mathieu, Thyde Barton, Marianne Fein, Deborah Robins, Diana L. |
author_facet | Williams, Lashae N. Wieckowski, Andrea Trubanova Dieckhaus, Mary F. S. Dai, Yael G. Zhang, Fengqing Dumont-Mathieu, Thyde Barton, Marianne Fein, Deborah Robins, Diana L. |
author_sort | Williams, Lashae N. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9855901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98559012023-01-21 Primary Care Clinician and Child Characteristics Impacting Autism Surveillance Williams, Lashae N. Wieckowski, Andrea Trubanova Dieckhaus, Mary F. S. Dai, Yael G. Zhang, Fengqing Dumont-Mathieu, Thyde Barton, Marianne Fein, Deborah Robins, Diana L. Brain Sci Article 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. MDPI 2022-12-22 /pmc/articles/PMC9855901/ /pubmed/36672000 http://dx.doi.org/10.3390/brainsci13010018 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Williams, Lashae N. Wieckowski, Andrea Trubanova Dieckhaus, Mary F. S. Dai, Yael G. Zhang, Fengqing Dumont-Mathieu, Thyde Barton, Marianne Fein, Deborah Robins, Diana L. Primary Care Clinician and Child Characteristics Impacting Autism Surveillance |
title | Primary Care Clinician and Child Characteristics Impacting Autism Surveillance |
title_full | Primary Care Clinician and Child Characteristics Impacting Autism Surveillance |
title_fullStr | Primary Care Clinician and Child Characteristics Impacting Autism Surveillance |
title_full_unstemmed | Primary Care Clinician and Child Characteristics Impacting Autism Surveillance |
title_short | Primary Care Clinician and Child Characteristics Impacting Autism Surveillance |
title_sort | primary care clinician and child characteristics impacting autism surveillance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855901/ https://www.ncbi.nlm.nih.gov/pubmed/36672000 http://dx.doi.org/10.3390/brainsci13010018 |
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