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Gepubliceerd in: Journal of Autism and Developmental Disorders 3/2009

01-03-2009 | Original Paper

Detecting Autism Spectrum Disorder from Early Intervention Charts: Methodology and Preliminary Findings

Auteurs: Patricia O. Towle, Paul F. Visintainer, Colleen O’Sullivan, N. Elizabeth Bryant, Suzanne Busby

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 3/2009

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Abstract

Federal laws mandating a “single point of entry” for early intervention (EI) create a potential database for surveillance of early childhood disabilities. This study evaluated EI records for estimating rates of autism spectrum disorder (ASD) using a chart abstraction protocol, with good interrater agreement (k = .86). Sampling 304 EI records yielded a point prevalence of (per 1,000) 8.5 (95% CI: 4.8–10.9) and a cumulative incidence of 7.4 (95% CI: 5.5–12.4). These rates are similar to recent published estimates. Additionally, the male-to-female ratio for autism, and rates of other developmental disorders were found to be consistent with current literature. These results suggest that local systems EI records may provide an excellent resource for ASD surveillance and research.
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Metagegevens
Titel
Detecting Autism Spectrum Disorder from Early Intervention Charts: Methodology and Preliminary Findings
Auteurs
Patricia O. Towle
Paul F. Visintainer
Colleen O’Sullivan
N. Elizabeth Bryant
Suzanne Busby
Publicatiedatum
01-03-2009
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 3/2009
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-008-0643-x