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Journal of Autism and Developmental Disorders

, Volume 45, Issue 7, pp 1989–1996 | Cite as

Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records

  • Karen J. Coleman
  • Marta A. Lutsky
  • Vincent Yau
  • Yinge Qian
  • Magdalena E. Pomichowski
  • Phillip M. Crawford
  • Frances L. Lynch
  • Jeanne M. Madden
  • Ashli Owen-Smith
  • John A. Pearson
  • Kathryn A. Pearson
  • Donna Rusinak
  • Virginia P. Quinn
  • Lisa A. Croen
Original Paper

Abstract

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.

Keywords

Population-based Racial/ethnic minorities Chart review Children Adolescents 

Notes

Acknowledgments

Funding for this study was provided by the National Institutes of Mental Health (NIMH# U19 MH092201).

Supplementary material

10803_2015_2358_MOESM1_ESM.pdf (312 kb)
Supplementary material 1 (PDF 311 kb)
10803_2015_2358_MOESM2_ESM.pdf (194 kb)
Supplementary material 2 (PDF 194 kb)

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Karen J. Coleman
    • 1
  • Marta A. Lutsky
    • 2
  • Vincent Yau
    • 2
  • Yinge Qian
    • 2
  • Magdalena E. Pomichowski
    • 1
  • Phillip M. Crawford
    • 3
  • Frances L. Lynch
    • 3
  • Jeanne M. Madden
    • 4
  • Ashli Owen-Smith
    • 5
  • John A. Pearson
    • 3
  • Kathryn A. Pearson
    • 3
  • Donna Rusinak
    • 4
  • Virginia P. Quinn
    • 1
  • Lisa A. Croen
    • 2
  1. 1.Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaUSA
  2. 2.Division of ResearchKaiser Permanente Northern CaliforniaOaklandUSA
  3. 3.Center for Health ResearchKaiser Permanente NorthwestPortlandUSA
  4. 4.Harvard Medical School and Harvard Pilgrim Healthcare InstituteBostonUSA
  5. 5.Center for Health ResearchKaiser Permanente GeorgiaAtlantaUSA

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