Optimal look back period and summary method for Elixhauser comorbidity measures in a US population-based electronic health record database

Yannick Fortin1 McLaughlin Centre for Population Health Risk Assessment;2 School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON, CanadaCorrespondence[email protected]

James AG Crispo1 McLaughlin Centre for Population Health Risk Assessment;2 School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON, Canada;3 Fulbright Canada;4 Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

Deborah Cohen2 School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON, Canada;5 Canadian Population Health Initiative, Canadian Institute for Health Information, Ottawa;6 Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada

Douglas S McNair7 Cerner Corporation, Kansas City, MO, USA

Donald R Mattison1 McLaughlin Centre for Population Health Risk Assessment;8 Risk Sciences International, Ottawa, ON, Canada

Daniel Krewski1 McLaughlin Centre for Population Health Risk Assessment;2 School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON, Canada;8 Risk Sciences International, Ottawa, ON, Canada

Optimal look back period and summary method for Elixhauser comorbidity measures in a US population-based electronic health record database

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Optimal look back period and summary method for Elixhauser comorbidity measures in a US population-based electronic health record database

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