ArticleMicroorganisms2021
Comparison of Quantification Methods to Estimate Farm-Level Usage of Antimicrobials in Medicated Feed in Dairy Farms from Québec, Canada.
Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
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Who cites it
10 citing papers in PubMed.
- Evaluation of Surveillance Strategies of Antimicrobial Consumption in Animals.Antibiotics (Basel, Switzerland) · 2024Review
- A mixed method approach to analysing patterns and drivers of antibiotic use and resistance in beef farms in Argentina.Frontiers in veterinary science · 2024Article
- Functional evaluation ofTranslational animal science · 2024Article
- Quantifying antimicrobial use on Canadian dairy farms using garbage can audits.Frontiers in veterinary science · 2023Article
- Current Insights Regarding the Role of Farm Animals in the Spread of Antimicrobial Resistance from a One Health Perspective.Veterinary sciences · 2022Review
- The Impact of Antimicrobial Stewardship Training on Calf Producers' Knowledge, Treatment Behaviors and Quantified Antimicrobial Use.Microorganisms · 2022Article
- Analysis of antimicrobial sales data of the main distributor in Quebec from 2016 to 2019: An estimate of usage in dairy cattle, horses, and small animals.The Canadian veterinary journal = La revue veterinaire canadienne · 2022Article
- Quantification of antimicrobial use in Fijian livestock farms.One health (Amsterdam, Netherlands) · 2021Article
- Comparison of Quantification Methods to Estimate Farm-Level Usage of Antimicrobials in Medicated Feed in Dairy Farms from Québec, Canada.Microorganisms · 2021Article
- Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR): An On-Farm Surveillance System.Frontiers in veterinary science · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Monitoring antimicrobial usage (AMU) in dairy cattle is becoming common in a growing number of countries, with the ultimate goal to improve practices, reduce the development of antimicrobial resistance, and protect human health. However, antimicrobials delivered as feed additives can be missed by some of the quantification methods usually implemented. Our objective was to compare three methods of quantification of in-feed AMU in Québec dairy herds. We recruited 101 dairy producers for one year in the Québec province. Quantities of antimicrobials were calculated by farm from: (1) feed mills invoices (reference method); (2) veterinary prescriptions; and (3) information collected during an in-person interview of each producer. We standardized AMU rates in kilograms per 100 cow-years and compared the reference method to both alternative methods using concordance correlation coefficients and Bland-Altman plots. Antimicrobial usage was well estimated by veterinary prescriptions (concordance correlation coefficient (CCC) = 0.66) or by the approximation using producer's data (CCC = 0.73) when compared with actual deliveries by feed mills. Users of medically important antimicrobials for human medicine (less than 10% of the farms) were easily identified using veterinary prescriptions. Given that veterinary prescriptions were mostly electronic (90%), this method could be integrated as part of a monitoring system in Québec.
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