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Evaluation of 'ClassyFarm', the Italian integrated surveillance system of livestock farms, in the context of antimicrobial use and antimicrobial resistance.

Authors :
Tomassone, Laura
Scali, Federico
Formenti, Nicoletta
Alborali, Giovanni Loris
Aragrande, Maurizio
Canali, Massimo
Romanelli, Costanza
Suprani, Valentina
De Meneghi, Daniele
Source :
Italian Journal of Animal Science; Dec2024, Vol. 23 Issue 1, p1426-1438, 13p
Publication Year :
2024

Abstract

ClassyFarm is an integrated surveillance system for monitoring the Italian livestock farms on risks related to antimicrobial use (AMU) and resistance (AMR) and other indicators, such as animal welfare and farm biosecurity. In the framework of the CoEvalAMR network we evaluated ClassyFarm by using three evaluation tools: the OH-EpiCap, the FAO PMP-AMR and the NEOH evaluation tool. Evaluation was performed by interviewing representatives of ClassyFarm, National Health System veterinarians, farm vets, farmers, livestock industry entrepreneurs, academy experts in AMR/AMU. NEOH and PMP-AMR evaluation tools were applied twice (at 2 years interval) to detect changes in the implementation of the system over time, while OH-EpiCap was applied once. The three tools differ in evaluation objectives, depth of analysis, and time/training resources needed to perform the evaluation. However, each of them enables to gather different information, which can serve as a basis for the discussion of possible adaptations/improvements of ClassyFarm. Even though ClassyFarm has a limited degree of One Health (OH) implementation, the evaluation showed that the system has evolved from a barely biosecurity and welfare surveillance system towards a more integrated OH approach. A transdisciplinary nature is also emerging, with the involvement of the environmental sector. However, there is space for improvement in resource allocation, data sharing and communication. Beyond the structural evaluation, surveillance systems should be evaluated also in relation to cost-effectiveness and system impacts. HIGHLIGHTS: Evaluation of surveillance systems is useful to detect gaps and improve the systems' effectiveness The evaluation of the ClassyFarm system showed that there is space for improvement in resource allocation, data sharing and communication Significant improvements have taken place regarding AMU/AMR awareness and AMU reduction in Italy, although it is difficult to assess the direct impact of ClassyFarm on these changes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15944077
Volume :
23
Issue :
1
Database :
Complementary Index
Journal :
Italian Journal of Animal Science
Publication Type :
Academic Journal
Accession number :
181659522
Full Text :
https://doi.org/10.1080/1828051X.2024.2407092