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Evaluation of a Records-Review Surveillance System Used to Determine the Prevalence of Autism Spectrum Disorders
Journal article   Peer reviewed

Evaluation of a Records-Review Surveillance System Used to Determine the Prevalence of Autism Spectrum Disorders

Rachel Nonkin Avchen, Lisa D. Wiggins, Owen Devine, Kim Van Naarden Braun, Catherine Rice, Nancy C. Hobson, Diana Schendel and Marshalyn Yeargin-Allsopp
Journal of autism and developmental disorders, v 41(2), pp 227-236
01 Feb 2011
PMID: 20568003

Abstract

Psychology Psychology, Developmental Social Sciences
We conducted the first study that estimates the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of a population-based autism spectrum disorders (ASD) surveillance system developed at the Centers for Disease Control and Prevention. The system employs a records-review methodology that yields ASD classification (case versus non-ASD case) and was compared with classification based on clinical examination. The study enrolled 177 children. Estimated specificity (0.96, [CI.95 = 0.94, 0.99]), PPV (0.79 [CI.95 = 0.66, 0.93]), and NPV (0.91 [CI.95 = 0.87, 0.96]) were high. Sensitivity was lower (0.60 [CI.95 = 0.45, 0.75]). Given diagnostic heterogeneity, and the broad array of ASD in the population, identifying children with ASD is challenging. Records-based surveillance yields a population-based estimate of ASD that is likely conservative.

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38 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Psychology, Developmental
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