Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors

被引:1
作者
Leger, David F. [1 ]
Anderson, Maureen E. C. [2 ]
Bedard, Francois D. [3 ]
Burns, Theresa [4 ]
Carson, Carolee A. [1 ]
Deckert, Anne E. [1 ]
Gow, Sheryl P. [5 ]
James, Cheryl [6 ]
Li, Xian-Zhi [7 ]
Ott, Michael [8 ]
Agunos, Agnes [1 ]
机构
[1] Publ Hlth Agcy Canada, Ctr Foodborne Environm & Zoonot Infect Dis, Guelph, ON N1H 7M7, Canada
[2] Ontario Minist Agr Food & Rural Affairs, Vet Sci Unit, Guelph, ON N1G 4Y2, Canada
[3] Agr & Agri Food Canada, Anim Ind Div, Ottawa, ON K1A 0C5, Canada
[4] Anim Hlth Canada, Canadian Anim Hlth Surveillance Syst, Elora, ON N0B 1S0, Canada
[5] Publ Hlth Agcy Canada, Ctr Foodborne Environm & Zoonot Infect Dis, Saskatoon, SK S7N 5B4, Canada
[6] Canadian Food Inspect Agcy, Anim Ind Div, Ottawa, ON K1A 0Y9, Canada
[7] Hlth Canada, Vet Drugs Directorate, Ottawa, ON K1A 0K9, Canada
[8] Fisheries & Oceans Canada, Aquat Ecosyst Sect, Ottawa, ON K1A 0E6, Canada
来源
ANTIBIOTICS-BASEL | 2022年 / 11卷 / 02期
关键词
antimicrobials; multisectoral; stewardship; surveillance; collaboration; antimicrobial use; antimicrobial resistance; food animals;
D O I
10.3390/antibiotics11020226
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
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页数:18
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