| Literature DB >> 25641003 |
Karen J Coleman1, 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.Entities:
Mesh:
Year: 2015 PMID: 25641003 PMCID: PMC4474741 DOI: 10.1007/s10803-015-2358-0
Source DB: PubMed Journal: J Autism Dev Disord ISSN: 0162-3257