[article]
| Titre : |
Does a claims diagnosis of autism mean a true case? |
| Type de document : |
texte imprimé |
| 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 |
in Autism > 18-3 (April 2014) . - p.321-330
[article] Does a claims diagnosis of autism mean a true case? [texte imprimé] / 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 |
|  |
Does a claims diagnosis of autism mean a true case? in Autism, 18-3 (April 2014)
