Logo image
Back
Does a claims diagnosis of autism mean a true case?
Journal article   Peer reviewed

Does a claims diagnosis of autism mean a true case?

James P. Burke, Anjali Jain, Wenya Yang, Jonathan P. Kelly, Marygrace Kaiser, Laura Becker, Lindsay Lawer and Craig J. Newschaffer
Autism : the international journal of research and practice, v 18(3), pp 321-330
01 Apr 2014
DOI: https://doi.org/10.1177/1362361312467709
PMID: 23739541
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Psychology Psychology, Developmental Social Sciences
The purpose of this study was to validate autism spectrum disorder cases identified through claims-based case identification algorithms against a clinical review of medical charts. Charts were reviewed for 432 children who fell into one of the three following groups: (a) more than or equal to two claims with an autism spectrum disorder diagnosis code (n = 182), (b) one claim with an autism spectrum disorder diagnosis code (n = 190), and (c) those who had no claims for autism spectrum disorder but had claims for other developmental or neurological conditions (n = 60). The algorithm-based diagnoses were compared with documented autism spectrum disorders in the medical charts. The algorithm requiring more than or equal to two claims for autism spectrum disorder generated a positive predictive value of 87.4%, which suggests that such an algorithm is a valid means to identify true autism spectrum disorder cases in claims data.

Metrics

20 Record Views
114 citations in Web of Science
113 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Industry collaboration
Domestic collaboration
Web of Science research areas
Psychology, Developmental
Logo image