C
Carol Bennett
Researcher at Ottawa Hospital Research Institute
Publications - 57
Citations - 8502
Carol Bennett is an academic researcher from Ottawa Hospital Research Institute. The author has contributed to research in topics: Population & Decision aids. The author has an hindex of 25, co-authored 48 publications receiving 7511 citations. Previous affiliations of Carol Bennett include International Council for the Exploration of the Sea & University of Ottawa.
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Journal ArticleDOI
Personal stories in publicly available patient decision aids.
TL;DR: The use of personal stories in publicly available patient decision aids (PtDAs) is characterized by a structured coding taxonomy based on the International Patient Decision Aid Standards, Ottawa Decision Support Framework, Decisional Conflict Scale and qualitative content analysis.
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Projections of preventable risks for cardiovascular disease in Canada to 2021: a microsimulation modelling approach
Douglas G. Manuel,Douglas G. Manuel,Douglas G. Manuel,Meltem Tuna,Meltem Tuna,Deirdre Hennessy,Deirdre Hennessy,Carol Bennett,Anya Okhmatovskaia,Philippe Finès,Peter Tanuseputro,Jack V. Tu,William M. Flanagan +12 more
TL;DR: Risks of cardiovascular disease are projected to decrease modestly in Canada, leading to a likely continuing decline in its incidence.
Seven more years: the impact of smoking, alcohol, diet, physical activity and stress on health and life expectancy in ontario
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Cardiovascular Disease Population Risk Tool (CVDPoRT): predictive algorithm for assessing CVD risk in the community setting. A study protocol
Monica Taljaard,Meltem Tuna,Carol Bennett,Richard Perez,Laura C. Rosella,Jack V. Tu,Claudia Sanmartin,Deirdre Hennessy,Peter Tanuseputro,Michael Lebenbaum,Douglas G. Manuel +10 more
TL;DR: The analysis plan adheres to published recommendations for the development of valid prediction models to limit the risk of overfitting and improve the quality of predictions, and key considerations are fully prespecifying the predictor variables.
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Reliability of the Peer-Review Process for Adverse Event Rating
TL;DR: The variation in peer-reviewer ratings of adverse outcomes is evaluated to determine the impact of this variation on estimates of reviewer accuracy; and the number of reviewers who judge an adverse event occurred that is required to ensure that the true probability of an adverseevent exceeded 50%, 75% or 95%.