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Journal of Autism and Developmental Disorders

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Gepubliceerd in:

01-07-2015 | Original Paper

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

Auteurs: 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

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 7/2015

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.

vorige artikel Cognitive Profiles in Youth with Autism Spectrum Disorder: An Investigation of Base Rate Discrepancies using the Differential Ability Scales—Second Edition

volgende artikel The Power of Positivity: Predictors of Relationship Satisfaction for Parents of Children with Autism Spectrum Disorder

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Titel: Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records
Auteurs: 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
Publicatiedatum: 01-07-2015
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 7/2015
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-015-2358-0

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