The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage

• Published in: Journal of ocular biology, diseases, and informatics diseases, and informatics, 2010-07, Vol.3 (1), p.30-34
• Main Authors: Latkany, Paul, Duggal, Mona, Goulet, Joseph, Paek, Hyung, Rambo, Michael, Palmisano, Philip, Levin, Woody, Erdos, Joseph, Justice, Amy, Brandt, Cynthia
• Format: Article
• Language: English
• Subjects: Health Informatics; Medicinal Chemistry; Medicine; Medicine & Public Health; Neurobiology; Neurochemistry; Neurology; Ophthalmology
• ISSN: 1936-8445; 1936-8437; 1936-8445
• DOI: 10.1007/s12177-010-9052-4

We performed a validation study by chart review of data for exudative age-related macular degeneration (eAMD) and, because of the Veterans Administration (VA) therapy policy, ranibizumab usage in the largest electronic medical record system in the USA. We reviewed 5,854 distinct patients who visited an ophthalmology clinic within VA Connecticut from January 2006–December 2008. We randomly selected 98 of 138 distinct eAMD patients and 265 of 5,588 non-eAMD patients who did not receive ranibizumab. International Classification of Diseases, Ninth Revision, Clinical Modification coding of eAMD had an excellent positive predictive value of 97.8% (95% confidence interval (CI), 93.5–99.4%). The national Decision Support System (DSS) had an excellent positive predictive value of 100% (95% CI, 79.9–100%) for ranibizumab. However, the negative predictive value of the DSS dispensed ranibizumab decreased to 67.5 (95% CI, 62.1–72.4) because of a change in the way local values were stored that led to errors. Therefore, validation of clinical information over time in large databases is necessary.