Monitoring of Farm-Level Antimicrobial Use to Guide Stewardship: Overview of Existing Systems and Analysis of Key Components and Processes.

antimicrobial resistance antimicrobial stewardship antimicrobial use benchmarking indicator livestock monitoring overview

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2020
Historique:
received: 01 05 2020
accepted: 10 07 2020
entrez: 16 11 2020
pubmed: 17 11 2020
medline: 17 11 2020
Statut: epublish

Résumé

The acknowledgment of antimicrobial resistance (AMR) as a major health challenge in humans, animals and plants, has led to increased efforts to reduce antimicrobial use (AMU). To better understand factors influencing AMR and implement and evaluate stewardship measures for reducing AMU, it is important to have sufficiently detailed information on the quantity of AMU, preferably at the level of the user (farmer, veterinarian) and/or prescriber or provider (veterinarian, feed mill). Recently, several countries have established or are developing systems for monitoring AMU in animals. The aim of this publication is to provide an overview of known systems for monitoring AMU at farm-level, with a descriptive analysis of their key components and processes. As of March 2020, 38 active farm-level AMU monitoring systems from 16 countries were identified. These systems differ in many ways, including which data are collected, the type of analyses conducted and their respective output. At the same time, they share key components (data collection, analysis, benchmarking, and reporting), resulting in similar challenges to be faced with similar decisions to be made. Suggestions are provided with respect to the different components and important aspects of various data types and methods are discussed. This overview should provide support for establishing or working with such a system and could lead to a better implementation of stewardship actions and a more uniform communication about and understanding of AMU data at farm-level. Harmonization of methods and processes could lead to an improved comparability of outcomes and less confusion when interpreting results across systems. However, it is important to note that the development of systems also depends on specific local needs, resources and aims.

Identifiants

pubmed: 33195490
doi: 10.3389/fvets.2020.00540
pmc: PMC7475698
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

540

Informations de copyright

Copyright © 2020 Sanders, Vanderhaeghen, Fertner, Fuchs, Obritzhauser, Agunos, Carson, Borck Høg, Dalhoff Andersen, Chauvin, Hémonic, Käsbohrer, Merle, Alborali, Scali, Stärk, Muentener, van Geijlswijk, Broadfoot, Pokludová, Firth, Carmo, Manzanilla, Jensen, Sjölund, Pinto Ferreira, Brown, Heederik and Dewulf.

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Auteurs

Pim Sanders (P)

The Netherlands Veterinary Medicines Institute (SDa), Utrecht, Netherlands.

Wannes Vanderhaeghen (W)

Centre of Expertise on Antimicrobial Consumption and Resistance in Animals (AMCRA), Brussels, Belgium.

Mette Fertner (M)

Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark.

Klemens Fuchs (K)

Department for Data, Statistics and Risk Assessment, Austrian Agency for Health and Food Safety, Vienna, Austria.

Walter Obritzhauser (W)

Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.

Agnes Agunos (A)

Public Health Agency of Canada, Guelph, ON, Canada.

Carolee Carson (C)

Public Health Agency of Canada, Guelph, ON, Canada.

Birgitte Borck Høg (B)

Division for Risk Assessment and Nutrition, National Food Institute, Technical University of Denmark, Lyngby, Denmark.

Vibe Dalhoff Andersen (V)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.

Claire Chauvin (C)

Epidemiology, Health and Welfare Unit, French Agency for Food, Environmental and Occupational Health & Safety, Ploufragan, France.

Anne Hémonic (A)

IFIP-Institut du Porc, Domaine de la Motte au Vicomte, Le Rheu, France.

Annemarie Käsbohrer (A)

Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.
Unit for Epidemiology, Zoonoses and Antimicrobial Resistance, Federal Institute for Risk Assessment (BfR), Berlin, Germany.

Roswitha Merle (R)

Institute for Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Berlin, Germany.

Giovanni L Alborali (GL)

Istituto Zooprofilattico Sperimentale della Lombardia e Dell'Emilia Romagna, Brescia, Italy.

Federico Scali (F)

Istituto Zooprofilattico Sperimentale della Lombardia e Dell'Emilia Romagna, Brescia, Italy.

Katharina D C Stärk (KDC)

SAFOSO AG, Bern, Switzerland.

Cedric Muentener (C)

Institute of Veterinary Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland.

Ingeborg van Geijlswijk (I)

The Netherlands Veterinary Medicines Institute (SDa), Utrecht, Netherlands.

Fraser Broadfoot (F)

Veterinary Medicines Directorate, Addlestone, United Kingdom.

Lucie Pokludová (L)

Institute for State Control of Veterinary Biologicals and Medicines, Brno, Czechia.

Clair L Firth (CL)

Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.

Luís P Carmo (LP)

Vetsuisse Faculty, Veterinary Public Health Institute, University of Bern, Bern, Switzerland.

Edgar Garcia Manzanilla (EG)

Moorepark Animal and Grassland Research Center, Teagasc, Irish Agriculture and Food Development Authority, Cork, Ireland.
School Veterinary Medicine, University College Dublin, Dublin, Ireland.

Laura Jensen (L)

Danish Veterinary and Food Administration, Glostrup, Denmark.

Marie Sjölund (M)

Department of Animal Health and Antimicrobial Strategies, National Veterinary Institute, Uppsala, Sweden.

Jorge Pinto Ferreira (J)

SAFOSO AG, Bern, Switzerland.

Stacey Brown (S)

Veterinary Medicines Directorate, Addlestone, United Kingdom.

Dick Heederik (D)

The Netherlands Veterinary Medicines Institute (SDa), Utrecht, Netherlands.

Jeroen Dewulf (J)

Veterinary Epidemiology Unit, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.

Classifications MeSH