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

Overview

Journal J Autism Dev Disord

Publisher Springer

Date 2015 Feb 3

PMID 25641003

Citations 45

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

Affiliations

Soon will be listed here.

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.

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