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Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study

Stewart B Harris1*, Richard H Glazier234, Jordan W Tompkins1, Andrew S Wilton2, Vijaya Chevendra1, Moira A Stewart1 and Amardeep Thind15

Author Affiliations

1 Centre for Studies in Family Medicine, Department of Family Medicine, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada

2 Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada

3 Centre for Research on Inner City Health, in the Keenan Research Centre at the Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada

4 Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada

5 Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada

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BMC Health Services Research 2010, 10:347  doi:10.1186/1472-6963-10-347

Published: 23 December 2010

Additional files

Additional file 1:

Validation results for identifying patients with diabetes using a linked health administrative-EMR dataset, between 1 April 2006 - 31 March 2008. Sensitivity, specificity, positive predictive value, negative predictive value and kappa results for identifying patients with diabetes based on 2 × 2 factorial analysis of 8 varying diagnosis definitions.

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