Does a claims diagnosis of autism mean a true case?
| Autor: | Laura K. Becker, Craig J. Newschaffer, James P. Burke, Lindsay Lawer, Marygrace Kaiser, Jonathan P. Kelly, Anjali Jain, Wenya Yang |
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| Rok vydání: | 2013 |
| Předmět: |
Male
medicine.medical_specialty Adolescent behavioral disciplines and activities Medical Records Young Adult International Classification of Diseases mental disorders Developmental and Educational Psychology medicine Humans Medical diagnosis Child Psychiatry Insurance Health Data Collection Medical record medicine.disease Predictive value Comorbidity Child Development Disorders Pervasive Autism spectrum disorder Child Preschool Autism Female Diagnosis code Psychology Algorithms Case identification Clinical psychology |
| Zdroj: | Autism. 18:321-330 |
| ISSN: | 1461-7005 1362-3613 |
| DOI: | 10.1177/1362361312467709 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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