Please join the Bruyère Centre for Learning, Research and Innovation (CLRI) for an interactive webinar. The webinar technology is provided by the Seniors Health Knowledge Network.
Presenters: Lise M. Bjerre,
Clinician-investigator, Department of Family Medicine, University of Ottawa and Bruyère Research Institute
Registration is limited. Please register early.
To register, go to https://cc.callinfo.com/cc/s/registrations/new?cid=1p85npucmcbrw
Meeting Description: With an aging population comes an increased vulnerability to adverse effects from medications. More adverse effects can lead to increases in morbidity and mortality, and increases in health care use and costs. The Potentially Inappropriate Prescribing in Long-Term Care (“PIP in LTC”) research project aims to validate the performance of tools to identify PIP and to explore the potential of health administrative data to identify inappropriate prescribing at the population level by comparing their performance when applied to clinical data.
This webinar will describe the ongoing project validating the performance of PIP identification tools (STOPP/ START and Beers criteria) by linking newly admitted residents’ charts from six LTC homes with provincial health data. An overview of the PIPs found most frequently upon admission to LTC will be presented. Furthermore, a practical tool that was developed for the “PIP in LTC” project and that can be used in LTC homes to identify PIPs at the patient level will be presented. This tool is available free of charge online.
For more information, please contact Tracy Luciani at email@example.com
About the Presenters
Lise M. Bjerre, MD, PhD, Clinician-investigator, Department of Family Medicine, University of Ottawa and Bruyère Research Institute.
Dr. Lise M. Bjerre is an epidemiologist and a family physician. She is a researcher with the Department of Family Medicine at the University of Ottawa and a practicing family physician working as a staff physician at the Civic Family Health Team of the Ottawa Hospital. Her research focuses largely on medication appropriateness in primary care, and in particular on potentially inappropriate prescribing (PIP) in primary care, its identification using clinical tools and health administrative data, and its effects on patient outcomes and use of health care resources at the population level.