Monitoring of farm-level antimicrobial use to guide stewardship : overview of existing systems and analysis of key components and processes
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 importa...
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creator | Sanders, Pim Vanderhaeghen, Wannes Fertner, Mette Fuchs, Klemens Obritzhauser, Walter Agunos, Agnes Carson, Carolee Borck Høg, Birgitte Dalhoff Andersen, Vibe Chauvin, Claire Hémonic, Anne Käsbohrer, Annemarie Merle, Roswitha Alborali, Giovanni L Scali, Federico Stärk, Katharina D. C Muentener, Cedric van Geijlswijk, Ingeborg Broadfoot, Fraser Pokludová, Lucie Firth, Clair L Carmo, Luís P Manzanilla, Edgar Garcia Jensen, Laura Sjölund, Marie Pinto Ferreira, Jorge Brown, Stacey Heederik, Dick Dewulf, Jeroen |
description | 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. |
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C ; Muentener, Cedric ; van Geijlswijk, Ingeborg ; Broadfoot, Fraser ; Pokludová, Lucie ; Firth, Clair L ; Carmo, Luís P ; Manzanilla, Edgar Garcia ; Jensen, Laura ; Sjölund, Marie ; Pinto Ferreira, Jorge ; Brown, Stacey ; Heederik, Dick ; Dewulf, Jeroen</creator><creatorcontrib>Sanders, Pim ; Vanderhaeghen, Wannes ; Fertner, Mette ; Fuchs, Klemens ; Obritzhauser, Walter ; Agunos, Agnes ; Carson, Carolee ; Borck Høg, Birgitte ; Dalhoff Andersen, Vibe ; Chauvin, Claire ; Hémonic, Anne ; Käsbohrer, Annemarie ; Merle, Roswitha ; Alborali, Giovanni L ; Scali, Federico ; Stärk, Katharina D. C ; Muentener, Cedric ; van Geijlswijk, Ingeborg ; Broadfoot, Fraser ; Pokludová, Lucie ; Firth, Clair L ; Carmo, Luís P ; Manzanilla, Edgar Garcia ; Jensen, Laura ; Sjölund, Marie ; Pinto Ferreira, Jorge ; Brown, Stacey ; Heederik, Dick ; Dewulf, Jeroen</creatorcontrib><description>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.</description><identifier>ISSN: 2297-1769</identifier><identifier>EISSN: 2297-1769</identifier><language>eng</language><subject>ANIMALS ; ANTIBIOTIC USE ; antimicrobial resistance ; antimicrobial stewardship ; antimicrobial use ; benchmarking ; CATTLE ; indicator ; livestock ; monitoring ; overview ; PERCEPTIONS ; RESISTANCE ; SURVEILLANCE ; VETERINARIANS ; Veterinary Sciences</subject><creationdate>2020</creationdate><rights>Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,315,777,781,4010,27841</link.rule.ids></links><search><creatorcontrib>Sanders, Pim</creatorcontrib><creatorcontrib>Vanderhaeghen, Wannes</creatorcontrib><creatorcontrib>Fertner, Mette</creatorcontrib><creatorcontrib>Fuchs, Klemens</creatorcontrib><creatorcontrib>Obritzhauser, Walter</creatorcontrib><creatorcontrib>Agunos, Agnes</creatorcontrib><creatorcontrib>Carson, Carolee</creatorcontrib><creatorcontrib>Borck Høg, Birgitte</creatorcontrib><creatorcontrib>Dalhoff Andersen, Vibe</creatorcontrib><creatorcontrib>Chauvin, Claire</creatorcontrib><creatorcontrib>Hémonic, Anne</creatorcontrib><creatorcontrib>Käsbohrer, Annemarie</creatorcontrib><creatorcontrib>Merle, Roswitha</creatorcontrib><creatorcontrib>Alborali, Giovanni L</creatorcontrib><creatorcontrib>Scali, Federico</creatorcontrib><creatorcontrib>Stärk, Katharina D. C</creatorcontrib><creatorcontrib>Muentener, Cedric</creatorcontrib><creatorcontrib>van Geijlswijk, Ingeborg</creatorcontrib><creatorcontrib>Broadfoot, Fraser</creatorcontrib><creatorcontrib>Pokludová, Lucie</creatorcontrib><creatorcontrib>Firth, Clair L</creatorcontrib><creatorcontrib>Carmo, Luís P</creatorcontrib><creatorcontrib>Manzanilla, Edgar Garcia</creatorcontrib><creatorcontrib>Jensen, Laura</creatorcontrib><creatorcontrib>Sjölund, Marie</creatorcontrib><creatorcontrib>Pinto Ferreira, Jorge</creatorcontrib><creatorcontrib>Brown, Stacey</creatorcontrib><creatorcontrib>Heederik, Dick</creatorcontrib><creatorcontrib>Dewulf, Jeroen</creatorcontrib><title>Monitoring of farm-level antimicrobial use to guide stewardship : overview of existing systems and analysis of key components and processes</title><description>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.</description><subject>ANIMALS</subject><subject>ANTIBIOTIC USE</subject><subject>antimicrobial resistance</subject><subject>antimicrobial stewardship</subject><subject>antimicrobial use</subject><subject>benchmarking</subject><subject>CATTLE</subject><subject>indicator</subject><subject>livestock</subject><subject>monitoring</subject><subject>overview</subject><subject>PERCEPTIONS</subject><subject>RESISTANCE</subject><subject>SURVEILLANCE</subject><subject>VETERINARIANS</subject><subject>Veterinary Sciences</subject><issn>2297-1769</issn><issn>2297-1769</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ADGLB</sourceid><recordid>eNqdjMFOhEAQRCdGEze6_9A_QMLCLrBejcaLN--TYWigdZgm0wMr3-BPC9GDZw-VqqRe1ZXaZdm5TA5lcb7-k2_VXuQ9TdPD6VjmVbpTX6_sKXIg3wG30JowJA5ndGB8pIFs4JqMg0kQIkM3UYMgES8mNNLTCA_AM4aZ8LLt8ZMkbl-yrNAg60uzyrhFSDbgAxewPIzs0cefegxsUQTlXt20xgnuf_1OZc9Pb48vSdevsHZUB7QmajakTbA9zainbqtq1FVRFnl1yv81-gZOemTP</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Sanders, Pim</creator><creator>Vanderhaeghen, Wannes</creator><creator>Fertner, Mette</creator><creator>Fuchs, Klemens</creator><creator>Obritzhauser, Walter</creator><creator>Agunos, Agnes</creator><creator>Carson, Carolee</creator><creator>Borck Høg, Birgitte</creator><creator>Dalhoff Andersen, Vibe</creator><creator>Chauvin, Claire</creator><creator>Hémonic, Anne</creator><creator>Käsbohrer, Annemarie</creator><creator>Merle, Roswitha</creator><creator>Alborali, Giovanni L</creator><creator>Scali, Federico</creator><creator>Stärk, Katharina D. 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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.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ANIMALS ANTIBIOTIC USE antimicrobial resistance antimicrobial stewardship antimicrobial use benchmarking CATTLE indicator livestock monitoring overview PERCEPTIONS RESISTANCE SURVEILLANCE VETERINARIANS Veterinary Sciences |
title | Monitoring of farm-level antimicrobial use to guide stewardship : overview of existing systems and analysis of key components and processes |
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