An abstract related to this topic was presented at the 2011 International Meeting for Autism Research, but this is the first manuscript submission.
Joyce S. Nicholas, Ph.D., Laura A. Carpenter, Ph.D., Lydia B. King, Ph.D., Walter Jenner, M.S., Amy Wahlquist, M.S., Sarah Logan, M.S., Jane M. Charles, M.D.
Published Online: May 04, 2012
The Autism and Developmental Disabilities Monitoring Network (ADDM), sponsored by the Centers for Disease Control and Prevention, is the largest-scale project ever undertaken to identify the prevalence of Autism Spectrum Disorders (ASD) in the United States.
The objective of the present study was to examine the accuracy of the ADDM methodology in terms of completeness of case ascertainment; that is, to assess the success of the ADDM Network in identifying and accurately classifying all existing cases of ASD among 8-year-old children in the target study areas.
To accomplish this objective, the ADDM methodology was applied to a selected region of South Carolina for 8-year olds in 2000 (birth year 1992) and again seven years later for the same region and birth year.
For this region and birth year, completeness of case ascertainment was high, with prevalence estimates of 7.6 per 1000 at both ages 8- and 15-years. For children common to both surveillance years, concordance in case status was also high (82%).
Given that prevalence did not change within this region and birth year, continued research is needed to better understand the changes in prevalence estimates being found by the ADDM network across surveillance groups.