Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records
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To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth <18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with 81 % as a confirmed, probable, or possible ASD diagnosis. The predictors of valid ASD diagnoses were >2 diagnoses in the medical record (OR 2.94; 95 % CI 2.03–4.25; p < 0.001) and being male (OR 1.51; 95 % CI 1.05–2.17; p = 0.03). In large integrated healthcare settings, at least two diagnoses can be used to identify ASD patients for population-based research.
KeywordsPopulation-based Racial/ethnic minorities Chart review Children Adolescents
Funding for this study was provided by the National Institutes of Mental Health (NIMH# U19 MH092201).
- American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed.). Arlington: American Psychiatric Publishing, Inc. 943 pp.Google Scholar
- Avchen, R. N., Wiggins, L. D., Devine, O., Braun, K. V. N., Rice, C., Hobson, N. C., et al. (2011). Evaluation of a records-review surveillance system used to determine the prevalence of autism spectrum disorders. Journal of Autism and Developmental Disorders, 41(2), 227–236. doi: 10.1007/s10803-010-1050-7.PubMedCrossRefGoogle Scholar
- Centers for Disease Control and Prenvention (CDC). (2007). Prevalence of autism spectrum disorders—Autism and developmental disabilities monitoring network, six sites, United States, 2000; prevalence of autism spectrum disorders—Autism and developmental disabilities monitoring network, 14 sites, United States, 2002; evaluation of a methodology for a collaborative multiple source surveillance network for autism spectrum disorders—Autism and developmental disabilities monitoring network, 14 sites, United States, 2002. Surveillance Summaries, 2007. MMWR CDC Surveillance Summaries, 56(SS-1), 1–40.Google Scholar
- Centers for Disease Control and Prenvention (CDC). (2014). Prevalence of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2010. MMWR: Surveillance Summaries, 63(2), 1–21.Google Scholar
- Lord, C., Spence, S., Moldin, S. O., & Rubenstein, J. L. R. (2006). Autism spectrum disorders: phenotype and diagnosis. In S. O. Moldin & J. L. R. Rubenstein (Eds.), Understanding autism: From basic neuroscience to treatment. Boca Raton, FL: CRC Press.Google Scholar
- Mental Health Research Network. (2014). Introduction to the Mental Health Research Network. https://sites.google.com/a/mhresearchnetwork.org/mhrn/home. Accessed July 1, 2014.
- Schendel, D. E., Diguiseppi, C., Croen, L. A., Fallin, M. D., Reed, P. L., Schieve, L. A., et al. (2012). The study to explore early development (SEED): A multisite epidemiologic study of autism by the centers for autism and developmental disabilities research and epidemiology (CADDRE) network. Journal of Autism and Developmental Disorders, 42(10), 2121–2140.PubMedCentralPubMedCrossRefGoogle Scholar
- Windham, G. C., Anderson, M. C., Croen, L. A., Smith, K. S., Collins, J., & Grether, J. K. (2011). Birth prevalence of autism spectrum disorders in the San Francisco Bay area by demographic and ascertainment source characteristics. Journal of Autism and Developmental Disorders, 41(10), 1362–1372. doi: 10.1007/s10803-010-1160-2.PubMedCrossRefGoogle Scholar
- Zerbo, O., Qian, Y., Yoshida, C., Grether, J. K., Van de Water, J., & Croen, L. A. (2013). Maternal infection during pregnancy and autism spectrum disorders. Journal of Autism and Developmental Disorders. Dec 24 [Epub ahead of print].Google Scholar