Does a claims diagnosis of autism mean a true case? / James P. BURKE in Autism, 18-3 (April 2014)  

Public ISBD [article]  inAutism > 18-3 (April 2014) . - p.321-330 Titre : Does a claims diagnosis of autism mean a true case? Type de document : Texte imprimé et/ou numérique Auteurs : James P. BURKE, Auteur ; Anjali JAIN, Auteur ; Wenya YANG, Auteur ; Jonathan P. KELLY, Auteur ; Marygrace KAISER, Auteur ; Laura BECKER, Auteur ; Lindsay LAWER, Auteur ; Craig J. NEWSCHAFFER, Auteur Article en page(s) : p.321-330 Langues : Anglais (eng) Mots-clés : Administrative data  autism  chart review  validation study Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1177/1362361312467709 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=229 [article] Does a claims diagnosis of autism mean a true case? [Texte imprimé et/ou numérique] / James P. BURKE, Auteur ; Anjali JAIN, Auteur ; Wenya YANG, Auteur ; Jonathan P. KELLY, Auteur ; Marygrace KAISER, Auteur ; Laura BECKER, Auteur ; Lindsay LAWER, Auteur ; Craig J. NEWSCHAFFER, Auteur . - p.321-330. Langues : Anglais (eng) in Autism > 18-3 (April 2014) . - p.321-330 Mots-clés : Administrative data  autism  chart review  validation study Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1177/1362361312467709 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=229

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