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
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
540Informations 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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