Supplementary Material for: Validity of Discharge Diagnoses in the Surveillance of Stroke
datasetposted on 18.09.2013, 00:00 by Ramalle-Gomara E., Ruiz E., Serrano M., Bartulos M., Gonzalez M.-A., Matute B.
Background: Hospital administrative data have been suggested as a valuable cost-effective tool for providing information about the stroke burden. Nevertheless, the choice of the diagnosis codes has been a critical issue in the development of case ascertainment algorithms. Methods: In this study, the Minimum Basic Data Set administrative database was used to analyze the accuracy of different ICD-9-CM algorithms based on the neurologist's clinical judgement as the ‘gold standard'. Results: The most accurate algorithm observed in our study involved the selection of ICD-9-CM codes 430-438 in the primary diagnosis. It yielded a sensitivity of 96.1%, a specificity of 87.5% and a positive predictive value of 82.5%. Conclusions: The Minimum Basic Data Set is a valuable source to evaluate stroke frequency when using an accurate algorithm to select events.