International Meeting for Autism Research: Completeness of Case Ascertainment for Surveillance of Autism Spectrum Disorders Using the Autism Developmental Disabilities Monitoring Network Methodology

Completeness of Case Ascertainment for Surveillance of Autism Spectrum Disorders Using the Autism Developmental Disabilities Monitoring Network Methodology

Thursday, May 12, 2011
Elizabeth Ballroom E-F and Lirenta Foyer Level 2 (Manchester Grand Hyatt)
2:00 PM
J. S. Nicholas1, L. A. Carpenter2, L. B. King2, W. Jenner2 and J. Charles2, (1)Medical University of South Carolina, Charleston, SC, (2)Medical University of South Carolina, Charleston, SC, United States
Background:  

The Centers for Disease Control and Prevention’s (CDC) Autism and Developmental Disabilities Monitoring (ADDM) Network is an active, population-based surveillance program monitoring the prevalence of developmental disabilities among 8-year old children through retrospective review of records from both school and non-school sources.  Children are classified as having an Autism Spectrum Disorder (ASD) if behaviors documented in evaluation records by a community professional are consistent with the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision criteria for autistic disorder, PDD-NOS (including atypical autism), or Asperger disorder.  Prior diagnosis is not required for case identification.

Objectives:  

The objective of this study was to determine the completeness of case ascertainment for ASDs using the CDC’s ADDM Network methodology.

Methods:  

In the ADDM Network’s first study year, the prevalence of ASDs among 8-year olds was calculated for children born in 1992 and living in the surveillance region in 2000.  These children were 15-years old in 2007.  To determine the completeness of case ascertainment for study year (SY) 2000, we applied the same ADDM Network methodology to 15-year olds living in a three-county sub-region of the surveillance region in 2007.  For comparison, we re-calculated the SY2000 prevalence among 8-year olds for the same three-county sub-region.  In addition to comparing prevalence between the two age groups, we further evaluated records for those children abstracted in both years for consistency in assigning case status.

Results:  

The prevalence of ASDs among 8-year old children residing in the three-county sub-region in 2000 was 7.6, 95% CI 5.7-9.5.  The prevalence of ASDs among 15-year old children residing in the same three-county sub-region in 2007 was 7.6, 95% CI 5.8-9.4.

A subgroup of 106 children was abstracted at both time points.  Of these 106, 105 lived in the three-county sub-region during both surveillance years, 32 were identified as cases in both years and 55 were identified as non-cases in both years (82% concurrence).   Of the 19 children whose case status differed at the two time points, 8 moved from non-case to case (7 with an associated increase in the number of available evaluations), and 11 moved from case to non-case (7 with an associated decrease in the number of available evaluations).  There was no apparent pattern in the gains and losses of evaluations in terms of school versus non-school sources.  The remaining 5 children (4.7%) were within 1 criteria of meeting case status at both time points and/or had case statuses that had been changed based on a clinical consensus review by study clinicians.

Conclusions:  

ASD prevalence among children born in 1992 was virtually identical in 2000 and 2007 for the sub-region studied, suggesting a high level of completeness of case ascertainment using the CDC’s ADDM Network case identification methodology.

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