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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-07

AUTHORS

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

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. More... »

PAGES

1989-1996

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10803-015-2358-0

DOI

http://dx.doi.org/10.1007/s10803-015-2358-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020096607

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25641003


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