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Development of an Antimicrobial Resistance Diversity Index (ARDI)

Development of an Antimicrobial Resistance Diversity Index (ARDI) to guide initiatives and investment in public health, antimicrobial stewardship and infection control


Team Members:

Jianhong Wu, Professor and Director, Centre for Disease Modelling, York University
Amy Hurford, Assistant Professor, Biology/Mathematics and Statistics, Memorial University of Newfoundland
Andrew Morris, Associate Professor and Director, Antimicrobial Stewardship Program,
   Mount Sinai Hospital / University Health Network
Josie Hughes, Postdoctoral Fellow, 
Centre for Disease Modelling, York University
Lorianne Donato, Master's Student, Centre for Disease Modelling, York University

Gerry Wright, Professor and Director, Micheal G. DeGroote Institute for Infectious Disease Research,
   McMaster University
Troy Day, Professor, Mathematics and Statistics/Biology, Queen's University
Allison McGeer, Professor and Director of Infection Control, Mount Sinai Hospital
David Patrick, Professor and Director, School of Population and Public Health,
  University of British Columbia

Thomas Wong, Assistant Professor, Dalla Lana School of Public Health, University of Toronto,
   representing the Public Health Agency of Canada
Jennifer Grant, Assistant Professor, Pathology, University of British Columbia, 
   representing the Community and Hospital Infection Control Association–Canada
Lynora Saxinger, Associate Professor, Medicine, University of Alberta, 
representing The Association for Medical Microbiology and Infectious Disease Canada

Funding Period: 2013-2016

Funding Level: 398,681$. Funded by CIHR and NSERC



Antimicrobial-resistant germs do not respond to one or more antibiotics. Patients who acquire infections from these germs have longer hospital stays, an increased risk of death, and their care is more expensive. In Canada, the number of antimicrobial-resistant germs appears to be increasing, but we do not have a good way of measuring "resistance", and so it is difficult for researchers and healthcare experts to be certain what is happening with antimicrobial resistance. The goal of our project is to invent a summary statistic that measures total resistance by combining information of different types - for example, information on resistance to different types of drugs; resistance to different numbers of drugs; and resistance in different species of microbes. We will analyze data from Canadian hospitals and use our statistic to understand how quickly total resistance is increasing year-to-year and to compare between hospitals and geographic regions.

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