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Published on: December 16, 2022
Validity of discharge diagnoses in the surveillance of stroke
Enrique Ramalle-Gomara1, Elena Ruiz, Marta Serrano
1Department of Epidemiology, La Rioja Regional Authority, Logroño, Spain.
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.
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