4.5 Article

Statewide county-level autism spectrum disorder prevalence estimates-seven US states, 2018

Journal

ANNALS OF EPIDEMIOLOGY
Volume 79, Issue -, Pages 39-43

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.annepidem.2023.01.010

Keywords

Autism spectrum disorder; Autism; Surveillance; Public Health; Developmental disabilities

Ask authors/readers for more resources

The study aimed to identify the prevalence of Autism Spectrum Disorder (ASD) in different states and counties, using data linkage between health and education datasets. The results showed variations in ASD prevalence rates among different states and counties, with a higher prevalence among boys and lower prevalence among certain racial/ethnic groups. The findings suggest the importance of using statewide data linkage to obtain local information when more comprehensive methods are not feasible.
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. Published by Elsevier Inc.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available