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

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 system...

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Autores principales: Léger, David F., Anderson, Maureen E. C., Bédard, François D., Burns, Theresa, Carson, Carolee A., Deckert, Anne E., Gow, Sheryl P., James, Cheryl, Li, Xian-Zhi, Ott, Michael, Agunos, Agnes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8868246/
https://www.ncbi.nlm.nih.gov/pubmed/35203828
http://dx.doi.org/10.3390/antibiotics11020226
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author Léger, David F.
Anderson, Maureen E. C.
Bédard, François D.
Burns, Theresa
Carson, Carolee A.
Deckert, Anne E.
Gow, Sheryl P.
James, Cheryl
Li, Xian-Zhi
Ott, Michael
Agunos, Agnes
author_facet Léger, David F.
Anderson, Maureen E. C.
Bédard, François D.
Burns, Theresa
Carson, Carolee A.
Deckert, Anne E.
Gow, Sheryl P.
James, Cheryl
Li, Xian-Zhi
Ott, Michael
Agunos, Agnes
author_sort Léger, David F.
collection PubMed
description 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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spelling pubmed-88682462022-02-25 Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors Léger, David F. Anderson, Maureen E. C. Bédard, François D. Burns, Theresa Carson, Carolee A. Deckert, Anne E. Gow, Sheryl P. James, Cheryl Li, Xian-Zhi Ott, Michael Agunos, Agnes Antibiotics (Basel) Protocol 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. MDPI 2022-02-10 /pmc/articles/PMC8868246/ /pubmed/35203828 http://dx.doi.org/10.3390/antibiotics11020226 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Léger, David F.
Anderson, Maureen E. C.
Bédard, François D.
Burns, Theresa
Carson, Carolee A.
Deckert, Anne E.
Gow, Sheryl P.
James, Cheryl
Li, Xian-Zhi
Ott, Michael
Agunos, Agnes
Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors
title Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors
title_full Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors
title_fullStr Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors
title_full_unstemmed Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors
title_short Canadian Collaboration to Identify a Minimum Dataset for Antimicrobial Use Surveillance for Policy and Intervention Development across Food Animal Sectors
title_sort canadian collaboration to identify a minimum dataset for antimicrobial use surveillance for policy and intervention development across food animal sectors
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8868246/
https://www.ncbi.nlm.nih.gov/pubmed/35203828
http://dx.doi.org/10.3390/antibiotics11020226
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