• Karen Tu, Myra Wang, Jacqueline Young, Diane Green, Noah M Ivers, Debra Butt, Liisa Jaakkimainen, and Moira K Kapral.
• Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto Western Hospital Family Health Team, Toronto, Ontario, Canada. Electronic address: karen.tu@ices.on.ca.
• Can J Cardiol. 2013 Nov 1;29(11):1388-94.

BackgroundSurveillance for stroke/transient ischemic attack (TIA) using administrative data has traditionally been limited to reporting patients who had an acute event and were hospitalized. This underestimates the true prevalence because many events do not result in hospitalization. We examined whether the accuracy of administrative data for identifying prevalent stroke/TIA could be improved by using data from both inpatient and outpatient visits.MethodsAn administrative data validation reference standard was developed through chart abstraction of 5000 adult patients randomly sampled from 73,014 patients of 83 family physicians who participate in the Electronic Medical Record Administrative Data Linked Database (EMRALD), in Ontario, Canada.ResultsThe prevalence of stroke/TIA in our adult population was 3.0%. An algorithm of 1 hospital record had a sensitivity of 35.3% (27.7%-43.0%) and specificity of 99.8% (99.7%-99.9%), whereas an algorithm of 2 physician billings within 1 year or 1 hospitalization had a sensitivity of 68.0% (95% confidence interval [CI], 60.5%-75.5%) and specificity of 98.9% (95% CI, 98.6%-99.2%) for the identification of patients who had ever had a stroke/TIA. We found that hospitalization data underestimated the prevalence of stroke by > 50% and TIA by > 66% compared with using both hospitalization and physician claims data.ConclusionsThe use of outpatient physician claims data in addition to hospitalization data improves the sensitivity of administrative data for the identification of prevalent stroke/TIA and may be used to estimate the prevalence of cerebrovascular events in large populations and over time.Crown Copyright © 2013. Published by Elsevier Inc. All rights reserved.

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