Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018

Kelly A. Shaw; Susan Williams; Michelle M. Hughes; Zachary Warren; Amanda V. Bakian; Maureen S. Durkin; Amy Esler; Jennifer A Hall-Lande; Angelica Salinas; Alison Vehorn; Jennifer G. Andrews; Thaer Baroud; Deborah A. Bilder; Adele Dimian; Maureen Galindo; Allison Hudson; Libby Hallas; Maya Lopez; Olivia Pokoski; Sydney Pettygrove; Katelyn Rossow; Josephine Shenouda; Yvette D. Schwenk; Walter Zahorodny; Anita Washington; Matthew J. Maenner

doi:10.1016/j.annepidem.2023.01.010

Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018

Kelly A. Shaw, Susan Williams, Michelle M. Hughes, Zachary Warren, Amanda V. Bakian, Maureen S. Durkin, Amy Esler, Jennifer A Hall-Lande, Angelica Salinas, Alison Vehorn, Jennifer G. Andrews, Thaer Baroud, Deborah A. Bilder, Adele Dimian, Maureen Galindo, Allison Hudson, Libby Hallas, Maya Lopez, Olivia Pokoski, Sydney PettygroveKatelyn Rossow, Josephine Shenouda, Yvette D. Schwenk, Walter Zahorodny, Anita Washington, Matthew J. Maenner

Research output: Contribution to journal › Article › peer-review

Abstract

Purpose: Autism spectrum disorder (ASD) prevalence information is necessary for identifying community needs such as addressing disparities in identification and services. Methods: Seven Autism and Developmental Disabilities Monitoring (ADDM) Network sites participated in a pilot project to link statewide health and education data to generate statewide and county-level prevalence estimates for a broader age range for their states for the first time. Results: Statewide prevalence of ASD for ages 3–21 years in 2018 ranged from 1.5% in Tennessee and Wisconsin to 2.3% in Arizona. The median county-level prevalence of ASD was 1.4% of residents ages 3–21 years. More boys than girls had ASD at all sites, and prevalence was lower among non-Hispanic Black, Hispanic, Asian/Pacific Islander, and American Indian/Alaska Native residents compared to non-Hispanic White residents at most sites. ASD prevalence estimates for children aged 8 years were similar to 2018 ADDM Network estimates that used record review to provide more in-depth information, but showed greater variation for children aged 4 years. Conclusions: Linkage of statewide data sets provides less detailed but actionable local information when more resource-intensive methods are not possible.

Original language	English (US)
Pages (from-to)	39-43
Number of pages	5
Journal	Annals of epidemiology
Volume	79
DOIs	https://doi.org/10.1016/j.annepidem.2023.01.010
State	Published - Mar 2023

Bibliographical note

Funding Information:
The authors would like to acknowledge the community partners at clinical and educational data sources who shared data that enabled the generation of these estimates, including those who navigated data-sharing agreements and those on the technical side who provided the data. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:

Publisher Copyright:
© 2023

Keywords

Autism
Autism spectrum disorder
Developmental disabilities
Public Health
Surveillance

PubMed: MeSH publication types

Journal Article

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.annepidem.2023.01.010

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Shaw, K. A., Williams, S., Hughes, M. M., Warren, Z., Bakian, A. V., Durkin, M. S., Esler, A., Hall-Lande, J. A., Salinas, A., Vehorn, A., Andrews, J. G., Baroud, T., Bilder, D. A., Dimian, A., Galindo, M., Hudson, A., Hallas, L., Lopez, M., Pokoski, O., ... Maenner, M. J. (2023). Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018. Annals of epidemiology, 79, 39-43. https://doi.org/10.1016/j.annepidem.2023.01.010

Shaw, KA, Williams, S, Hughes, MM, Warren, Z, Bakian, AV, Durkin, MS, Esler, A , Hall-Lande, JA, Salinas, A, Vehorn, A, Andrews, JG, Baroud, T, Bilder, DA, Dimian, A, Galindo, M, Hudson, A, Hallas, L, Lopez, M, Pokoski, O, Pettygrove, S, Rossow, K, Shenouda, J, Schwenk, YD, Zahorodny, W, Washington, A & Maenner, MJ 2023, 'Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018', Annals of epidemiology, vol. 79, pp. 39-43. https://doi.org/10.1016/j.annepidem.2023.01.010

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title = "Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018",

abstract = "Purpose: Autism spectrum disorder (ASD) prevalence information is necessary for identifying community needs such as addressing disparities in identification and services. Methods: Seven Autism and Developmental Disabilities Monitoring (ADDM) Network sites participated in a pilot project to link statewide health and education data to generate statewide and county-level prevalence estimates for a broader age range for their states for the first time. Results: Statewide prevalence of ASD for ages 3–21 years in 2018 ranged from 1.5% in Tennessee and Wisconsin to 2.3% in Arizona. The median county-level prevalence of ASD was 1.4% of residents ages 3–21 years. More boys than girls had ASD at all sites, and prevalence was lower among non-Hispanic Black, Hispanic, Asian/Pacific Islander, and American Indian/Alaska Native residents compared to non-Hispanic White residents at most sites. ASD prevalence estimates for children aged 8 years were similar to 2018 ADDM Network estimates that used record review to provide more in-depth information, but showed greater variation for children aged 4 years. Conclusions: Linkage of statewide data sets provides less detailed but actionable local information when more resource-intensive methods are not possible.",

keywords = "Autism, Autism spectrum disorder, Developmental disabilities, Public Health, Surveillance",

author = "Shaw, {Kelly A.} and Susan Williams and Hughes, {Michelle M.} and Zachary Warren and Bakian, {Amanda V.} and Durkin, {Maureen S.} and Amy Esler and Hall-Lande, {Jennifer A} and Angelica Salinas and Alison Vehorn and Andrews, {Jennifer G.} and Thaer Baroud and Bilder, {Deborah A.} and Adele Dimian and Maureen Galindo and Allison Hudson and Libby Hallas and Maya Lopez and Olivia Pokoski and Sydney Pettygrove and Katelyn Rossow and Josephine Shenouda and Schwenk, {Yvette D.} and Walter Zahorodny and Anita Washington and Maenner, {Matthew J.}",

note = "Funding Information: The authors would like to acknowledge the community partners at clinical and educational data sources who shared data that enabled the generation of these estimates, including those who navigated data-sharing agreements and those on the technical side who provided the data. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Publisher Copyright: {\textcopyright} 2023",

year = "2023",

month = mar,

doi = "10.1016/j.annepidem.2023.01.010",

language = "English (US)",

volume = "79",

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T1 - Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018

AU - Shaw, Kelly A.

AU - Williams, Susan

AU - Hughes, Michelle M.

AU - Warren, Zachary

AU - Bakian, Amanda V.

AU - Durkin, Maureen S.

AU - Esler, Amy

AU - Hall-Lande, Jennifer A

AU - Salinas, Angelica

AU - Vehorn, Alison

AU - Andrews, Jennifer G.

AU - Baroud, Thaer

AU - Bilder, Deborah A.

AU - Dimian, Adele

AU - Galindo, Maureen

AU - Hudson, Allison

AU - Hallas, Libby

AU - Lopez, Maya

AU - Pokoski, Olivia

AU - Pettygrove, Sydney

AU - Rossow, Katelyn

AU - Shenouda, Josephine

AU - Schwenk, Yvette D.

AU - Zahorodny, Walter

AU - Washington, Anita

AU - Maenner, Matthew J.

N1 - Funding Information: The authors would like to acknowledge the community partners at clinical and educational data sources who shared data that enabled the generation of these estimates, including those who navigated data-sharing agreements and those on the technical side who provided the data. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Publisher Copyright: © 2023

PY - 2023/3

Y1 - 2023/3

N2 - Purpose: Autism spectrum disorder (ASD) prevalence information is necessary for identifying community needs such as addressing disparities in identification and services. Methods: Seven Autism and Developmental Disabilities Monitoring (ADDM) Network sites participated in a pilot project to link statewide health and education data to generate statewide and county-level prevalence estimates for a broader age range for their states for the first time. Results: Statewide prevalence of ASD for ages 3–21 years in 2018 ranged from 1.5% in Tennessee and Wisconsin to 2.3% in Arizona. The median county-level prevalence of ASD was 1.4% of residents ages 3–21 years. More boys than girls had ASD at all sites, and prevalence was lower among non-Hispanic Black, Hispanic, Asian/Pacific Islander, and American Indian/Alaska Native residents compared to non-Hispanic White residents at most sites. ASD prevalence estimates for children aged 8 years were similar to 2018 ADDM Network estimates that used record review to provide more in-depth information, but showed greater variation for children aged 4 years. Conclusions: Linkage of statewide data sets provides less detailed but actionable local information when more resource-intensive methods are not possible.

AB - Purpose: Autism spectrum disorder (ASD) prevalence information is necessary for identifying community needs such as addressing disparities in identification and services. Methods: Seven Autism and Developmental Disabilities Monitoring (ADDM) Network sites participated in a pilot project to link statewide health and education data to generate statewide and county-level prevalence estimates for a broader age range for their states for the first time. Results: Statewide prevalence of ASD for ages 3–21 years in 2018 ranged from 1.5% in Tennessee and Wisconsin to 2.3% in Arizona. The median county-level prevalence of ASD was 1.4% of residents ages 3–21 years. More boys than girls had ASD at all sites, and prevalence was lower among non-Hispanic Black, Hispanic, Asian/Pacific Islander, and American Indian/Alaska Native residents compared to non-Hispanic White residents at most sites. ASD prevalence estimates for children aged 8 years were similar to 2018 ADDM Network estimates that used record review to provide more in-depth information, but showed greater variation for children aged 4 years. Conclusions: Linkage of statewide data sets provides less detailed but actionable local information when more resource-intensive methods are not possible.

KW - Autism

KW - Autism spectrum disorder

KW - Developmental disabilities

KW - Public Health

KW - Surveillance

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DO - 10.1016/j.annepidem.2023.01.010

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AN - SCOPUS:85147452191

SN - 1047-2797

VL - 79

SP - 39

EP - 43

JO - Annals of Epidemiology

JF - Annals of Epidemiology

ER -

Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018

Abstract

Bibliographical note

Keywords

PubMed: MeSH publication types

UN SDGs

Publisher link

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