Skip to main content
Log in

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

  • Original Paper
  • Published:
Journal of Autism and Developmental Disorders Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: American Psychiatric Association.

    Google Scholar 

  • Baird, G., Simonoff, E., Pickles, A., Chandler, S., Loucas, T., Meldrum, D., et al. (2006). Prevalence of disorders of the autism spectrum in a population cohort of children in South Thames: The Special Needs and Autism Project (SNAP). Lancet, 368, 210–215.

    Article  PubMed  Google Scholar 

  • Barbaresi, W. J., Colligan, R. C., Weaver, A. L., & Katusic, S. K. (2009). The incidence of clinically diagnosed versus research identified autism in Olmstead County, Minnesota, 1976–1997: Results from a retrospective, population-based study. Journal of Autism and Developmental Disorders, 39, 464–470.

    Article  PubMed  Google Scholar 

  • Berument, S. K., Rutter, M., Lord, C., Pickles, A., & Bailey, A. (1999). The autism screening questionnaire: Diagnostic validity. British Journal of Psychiatry, 175, 444–451.

    Article  PubMed  Google Scholar 

  • Boyle, C. A., Yeargin-Allsopp, M., Doernberg, N., Holmgreen, P., Murphy, C. C., & Schendel, D. (1996). Prevalence of selected developmental disabilities in children aged 3–10 years: The Metropolitan Atlanta Developmental Disabilities Surveillance Program, 1991. MMWR Surveillance Summaries, 45((No. SS-2)), 1–14.

    Google Scholar 

  • Centers for Disease Control and Prevention. (2009, December 18). Prevalence of autism spectrum disorders—autism and developmental disabilities monitoring network, United States, 2006. Surveillance Summaries MMWR, 58(No. SS-10).

  • Centers for Disease Control and Prevention, ADDM Network Surveillance Year 2002 Principal Investigators. (2007, February 9). Prevalence of autism spectrum disorders—autism and developmental disabilities monitoring network, 14 sites, United States, 2002. MMWR Surveillance Summaries, 56(SS01, 2007), 2–28.

  • Charman, T., Baird, G., Simonoff, E., Loucas, T., Chandler, S., Meldrum, D., et al. (2007). Efficacy of three screening instruments in the identification of autistic-spectrum disorders. British Journal of Psychiatry, 191, 554–559.

    Article  PubMed  Google Scholar 

  • Croen, L., Grether, J., Hoogstrate, J., & Selvin, S. (2002). The changing prevalence of autism in California. Journal of Autism and Developmental Disorders, 32, 207–215.

    Article  PubMed  Google Scholar 

  • Elliot, C. D. (1990). The differential ability scales. San Antonio, TX: Harcourt Assessment.

    Google Scholar 

  • Filipek, P., Accardo, P., Ashwal, S., Baranek, G. T., Cook, E. H., Dawson, G., et al. (2000). Practice parameter: Screening and diagnosis of autism. Neurology, 55, 468–477.

    PubMed  Google Scholar 

  • Fombonne, E. (1996). Is the prevalence of autism increasing? Journal of Autism and Developmental Disorders, 26, 673–676.

    Article  PubMed  Google Scholar 

  • Gillberg, C., Steffenburg, S., & Schaumann, H. (1991). Is autism more common now than ten years ago? British Journal of Psychiatry, 158, 403–409.

    Article  PubMed  Google Scholar 

  • Hertz-Picciotto, I., & Delwiche, L. (2009). The rise in autism and role of age at diagnosis. Epidemiology, 20, 84–90.

    Article  PubMed  Google Scholar 

  • Johnson, C. P., Myers, S. M., & American Academy of Pediatrics Council on Children with Disabilities. (2007). Identification and evaluation of children with autism spectrum disorders. Pediatrics, 120, 1183–1215.

    Article  PubMed  Google Scholar 

  • Kadesjo, B., Gillberg, C., & Hagberg, B. (1999). Brief report: Autism and Asperger syndrome in seven-year-old children: A total population study. Journal of Autism and Developmental Disorders, 29, 327–331.

    Article  PubMed  Google Scholar 

  • Kawamura, Y., Takahashi, O., & Ishii, T. (2008). Reevaluating the incidence of pervasive developmental disorders: Impact of elevated rates of detection through implementation of an integrated system of screening in Toyota, Japan. Psychiatry and Clinical Neurosciences, 62, 152–159.

    Article  PubMed  Google Scholar 

  • Kogan, M. D., Blumberg, S. J., Scheive, L., Boyle, C., Perrin, J., Ghandour, R., et al. (2009). Prevalence of parent reported diagnosis of autism spectrum disorder among children in the U.S., 2007. Pediatrics, 124, 1395–1403.

    Article  PubMed  Google Scholar 

  • Lord, C., Rutter, M., DiLavore, P. C., & Risi, S. (2002). Autism diagnostic observation schedule. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • Lord, C., Rutter, M., Goode, S., Heemsbergen, J., Jordan, H., Mawhood, L., et al. (1989). Autism diagnostic observation schedule: A standardized observation of communicative and social behaviors. Journal of Autism and Developmental Disorders, 19, 185–212.

    Article  PubMed  Google Scholar 

  • Lord, C., Rutter, M., & Le Couteur, A. (1994). Autism diagnostic interview—revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24, 659–685.

    Article  PubMed  Google Scholar 

  • McNamee, R. (2002). Optimal designs of two-stage studies for estimation of sensitivity, specificity and positive predictive value. Statistics in Medicine, 21, 3609–3625.

    Article  PubMed  Google Scholar 

  • Posserud, M., Lundervold, A., & Gillberg, C. (2006). Autistic features in a total population of 7–9-year-old children assessed by the ASSQ (Autism Spectrum Screening Questionnaire). Journal of Child Psychology and Psychiatry, 47, 167–175.

    Article  PubMed  Google Scholar 

  • Rice, C., Baio, J., Van Naarden Braun, K., Doernberg, N., Meaney, F. J., Kirby, R. S., et al. (2007). A public health collaboration for the surveillance of autism spectrum disorders. Paediatric and Perinatal Epidemiology, 21, 179–190.

    Article  PubMed  Google Scholar 

  • Risi, S., Lord, C., Gotham, K., Corsello, C., Chrysler, C., Szatmari, P., et al. (2006). Combining information from multiple sources in the diagnosis of autism spectrum disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 45, 1094–1103.

    Article  PubMed  Google Scholar 

  • Rutter, M. (2005). Incidence of autism spectrum disorders: Changes over time and their meaning. Acta Paediatrica, 94, 2–15.

    Article  PubMed  Google Scholar 

  • Rutter, M., Le Couteur, A., & Lord, C. (2003). ADI-R: The autism diagnostic interview-revised. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • Schieve, L., Rice, C., & Boyle, C. (2006). Mental health in the United States: Parental report of diagnosed autism in children aged 4–17 years, United States, 2003–2004. MMWR, 55, 481–486.

    Google Scholar 

  • Sparrow, S., Balla, D., & Cicchetti, D. V. (1984). Vineland adaptive behavior scales. Circle Pines, MN: American Guidance Services.

    Google Scholar 

  • Van Naarden Braun, K., Pettygrove, S., Daniels, J., Miller, L., Nicholas, J., Baio, J., et al. (2007, February 9). Evaluation of a methodology for a collaborative multi-source surveillance network for autism spectrum disorders—Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2002. MMWR Surveillance Summaries, 56 (No. SS-01), 29–40.

  • Zhou, X. (1998). Correcting for verification bias in studies of a diagnostic test’s accuracy. Statistical Methods in Medical Research, 7, 337–353.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

We acknowledge the MADDSP and ADDM study teams for their commitment to ASD surveillance efforts. We are grateful for the hard work and dedication Ayofemi Wright gave to recruiting the study participants. We also thank Coleen Boyle and Laura Schieve for comments on earlier versions of this manuscript. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rachel Nonkin Avchen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nonkin Avchen, R., Wiggins, L.D., Devine, O. et al. Evaluation of a Records-Review Surveillance System Used to Determine the Prevalence of Autism Spectrum Disorders. J Autism Dev Disord 41, 227–236 (2011). https://doi.org/10.1007/s10803-010-1050-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-010-1050-7

Keywords

Navigation