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UM Bannatyne: Brodie Centre: Room-405
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This 2 day workshop will describe the principles of how to assess and interpret evidence from systematic reviews using the GRADE approach. The GRADE approach includes 8 domains to assess when considering a body of evidence from randomised and non-randomised studies: risk of bias, inconsistency, indirectness, imprecision, publication bias, large effect, dose response, and opposing confounding.
- Learn about the 8 domains of the GRADE approach to assess the certainty of evidence from a systematic review;
- Apply the GRADE approach in a variety of examples in clinical care and public health systematic reviews of randomised controlled trials and non-randomised studies;
- Use the GRADEpro software to create evidence tables to summarise and present the results of systematic reviews to decision makers.
Physicians, Faculty, Staff, Other Professionals: $100
Nancy Santesso is Assistant Professor in the Department of Health Research Methods, Evidence and Impact at McMaster University and a Registered Dietitian. She is the Deputy Director of Cochrane Canada, a member of the Governing Board of the Cochrane Collaboration, and editor of the Cochrane Consumers and Communication Review Group. She is also a member of the GRADE Working Group since 2009. She has worked with many guideline panels of professional organisations and the World Health Organisation internationally to facilitate guideline development. She provides training nationally and internationally about methods for guideline development, the use of the GRADE approach in guideline development and about the conduct of systematic reviews. Her other research interests include the communication of evidence and guidelines to patients and the public.
Registration Cancellation Policy:
A registration refund will be made upon written request on or before June 17, 2018. A $35 administrative fee will be retained. No refunds will be made for cancellations after this date.
For more information, please contact the Knowledge Synthesis Platform at Knowledge.Synthesis@umanitoba.ca