Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors
David F. Léger,
Maureen E. C. Anderson,
François D. Bédard,
Theresa Burns,
Carolee A. Carson,
Anne E. Deckert,
Sheryl P. Gow,
Cheryl James,
Xian-Zhi Li,
Michael Ott,
Agnes Agunos
Affiliations
David F. Léger
Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, ON N1H 7M7, Canada
Maureen E. C. Anderson
Veterinary Science Unit, Ontario Ministry of Agriculture, Food and Rural Affairs, Guelph, ON N1G 4Y2, Canada
François D. Bédard
Animal Industry Division, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C5, Canada
Theresa Burns
Canadian Animal Health Surveillance System, Animal Health Canada, Elora, ON N0B 1S0, Canada
Carolee A. Carson
Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, ON N1H 7M7, Canada
Anne E. Deckert
Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, ON N1H 7M7, Canada
Sheryl P. Gow
Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Saskatoon, SK S7N 5B4, Canada
Cheryl James
Animal Industry Division, Canadian Food Inspection Agency, Ottawa, ON K1A 0Y9, Canada
Xian-Zhi Li
Veterinary Drugs Directorate, Health Canada, Ottawa, ON K1A 0K9, Canada
Michael Ott
Aquatic Ecosystems Sector, Fisheries and Oceans Canada, Ottawa, ON K1A 0E6, Canada
Agnes Agunos
Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, ON N1H 7M7, Canada
Surveillance of antimicrobial use (AMU) and antimicrobial resistance (AMR) is a core component of the 2017 Pan-Canadian Framework for Action. There are existing AMU and AMR surveillance systems in Canada, but some stakeholders are interested in developing their own AMU monitoring/surveillance systems. It was recognized that the establishment of core (minimum) AMU data elements, as is necessary for policy or intervention development, would inform the development of practical and sustainable AMU surveillance capacity across food animal sectors in Canada. The Canadian Animal Health Surveillance System (CAHSS) AMU Network was established as a multisectoral working group to explore the possibility of harmonizing data inputs and outputs. There was a consensus that a minimum AMU dataset for AMU surveillance (MDS-AMU-surv) should be developed to guide interested parties in initiating AMU data collection. This multisectoral collaboration is an example of how consultative consensus building across relevant sectors can contribute to the development of harmonized approaches to AMU data collection and reporting and ultimately improve AMU stewardship. The MDS-AMU-surv could be used as a starting point for the progressive development or strengthening of AMU surveillance programs, and the collaborative work could serve as a model for addressing AMR and other shared threats at the human–animal–environment interface.