Peer reviewed
Direct linkERIC Number: EJ1065223
Record Type: Journal
Publication Date: 2015-Jul
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0162-3257
EISSN: N/A
Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records
Coleman, Karen J.; Lutsky, Marta A.; Yau, Vincent; Qian, Yinge; Pomichowski, Magdalena E.; Crawford, Phillip M.; Lynch, Frances L.; Madden, Jeanne M.; Owen-Smith, Ashli; Pearson, John A.; Pearson, Kathryn A.; Rusinak, Donna; Quinn, Virginia P.; Croen, Lisa A.
Journal of Autism and Developmental Disorders, v45 n7 p1989-1996 Jul 2015
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.
Descriptors: Validity, Clinical Diagnosis, Autism, Classification, Health Services, Patients, Identification, Correlation, Predictor Variables, Medical Evaluation, Records (Forms), Pervasive Developmental Disorders, Youth, Males, Gender Differences
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
