Methods for identifying 30 chronic conditions: application to administrative data

Marcello Tonelli1, Natasha Wiebe2, Martin Fortin3, Bruce Guthrie4, Brenda R. Hemmelgarn1, Matthew T. James1, Scott Klarenbach2, Richard Lewanczuk5, Braden Manns1, Paul E. Ronksley6, Peter Sargious5, Sharon E. Straus7, Hude Quan6
1Department of Medicine, University of Calgary, Calgary, Canada
2Dept. of Medicine, University of Alberta, Edmonton, Canada.
3Department of family medicine, Université de Sherbrooke, Sherbrooke, Canada
4Population Health Sciences Division, Medical Research Institute, University of Dundee, Dundee, UK
5Alberta Health Services, Edmonton, Canada
6Department of Community Health Sciences, University of Calgary, Calgary, Canada
7Department of Medicine, University of Toronto, Toronto, Canada

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