Comparison of Quantification Methods to Estimate Farm-Level Usage of Antimicrobials in Medicated Feed in Dairy Farms from Québec, Canada.
antibiotic
dairy cattle
farm-level
feed additive
feed mill
ionophore
medically important antimicrobial
medicated feed
monitoring
veterinary prescription
Journal
Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893
Informations de publication
Date de publication:
30 Aug 2021
30 Aug 2021
Historique:
received:
18
07
2021
revised:
24
08
2021
accepted:
26
08
2021
entrez:
28
9
2021
pubmed:
29
9
2021
medline:
29
9
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34576729
pii: microorganisms9091834
doi: 10.3390/microorganisms9091834
pmc: PMC8471653
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Agri-Food Innov'Action Program
ID : IA 115330
Organisme : NSERC Alexander Graham Bell Canada Graduate Scholarships - Doctoral Program
ID : CGSD2 - 518906 - 2018
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