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

Autor/inn/en	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.
Titel	Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records
Quelle	In: Journal of Autism and Developmental Disorders, 45 (2015) 7, S.1989-1996 (8 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0162-3257
DOI	10.1007/s10803-015-2358-0
Schlagwörter	Validity; Clinical Diagnosis; Autism; Classification; Health Services; Patients; Identification; Correlation; Predictor Variables; Medical Evaluation; Records (Forms); Pervasive Developmental Disorders; Youth; Males; Gender Differences + Suchen Sie Ihr Suchwort? Gültigkeit; Autismus; Classification system; Klassifikation; Klassifikationssystem; Health service; Gesundheitsdienst; Gesundheitswesen; Patient; Identifikation; Identifizierung; Korrelation; Prädiktor; Formularsammlung; Jugend; Jugendlicher; Jugendalter; Male; Männliches Geschlecht; Geschlechterkonflikt
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01