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DSECT/DSEN Monthly Seminar Series - March 28 2019 - Dr. Lise Bjerre

“Using big data to assess prescribing quality: validation and application of clinical criteria (STOPP-START and Beers) to population-level data?”


Presented by

Dr. Lise M. Bjerre, MDCM, PhD, CCFP

Assistant Professor and Clinician-Investigator, Deparment of Family Medicine, Bruyere Research Institute, and School of Epidemiology and Public Health, University of Ottawa.


Thursday, March 28, 2019 3-4pm EDT

Online via GoToWebinar



Dr. Bjerre will present ‘hot off the presses’ final results from two studies she and her team conducted that validated and applied clinical criteria to identify instances of potentially inappropriate prescribing (PIP) and assess associated patient outcomes using population level big data. In the PIP-STOPP study, the STOPP-START and Beers criteria were coded and applied to a large population database of 2.5 million Ontario seniors, and their performance as prescribing quality screening tools and predictors of patient outcomes was compared. In the PIP in LTC study, clinical and health administrative data for the same patients were compared in terms of how well they enabled the identification of potentially inappropriate prescribing. Results of the these two studies have population-level and health policy implications for the monitoring and improvement of prescribing quality.

Learning Objectives:

  1. To describe advantages and limitations of using population-level data to assess prescribing quality.
  2. To describe factors that are found to be associated with greater or lesser prescribing quality, and their impact on patient outcomes.


Protocols for the two studies are available as free full-text online: