ArticleJAC-antimicrobial resistance2025
Architecture, goals and challenges of the Swiss Information System for Antibiotics in Veterinary Medicine (IS ABV).
Article in JAC-antimicrobial resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Benchmarking: A Tool for Veterinary Practices to Improve Prudent Use of Antibiotics in Cats and Dogs in Switzerland.Antibiotics (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and objectives: In-depth knowledge of antibiotic treatments in animals is essential to effectively combat antimicrobial resistance. Notably, veterinary antibiotic sales in Switzerland have dropped by >50% in the past decade. However, a further breakdown by species or detailed livestock classes such as dairy or fattening cattle has so far not been possible because products are often authorized for use in multiple species and sectors. In 2020, the Swiss national monitoring system for antibiotic use (IS ABV) was introduced, which has substantially improved the availability of detailed data on antibiotic use. The aim of this study is to provide a high-level overview of IS ABV, its technical implementation and the current state of the system, highlighting its strengths and current and past weaknesses. Methods: To achieve this, we extracted antibiotic use data from the IS ABV surveillance system and analysed prescription-level data from 2020 to 2023, applying seasonal adjustments using ARIMA time series modelling. Results: We identified a significant decreasing trend in the number of prescriptions for companion and farm animals. In addition, the approximated reporting errors have decreased over time, indicating improved accuracy in documenting antibiotic use by veterinarians. Conclusions: These advances highlight the system's effectiveness in improving data accuracy and in monitoring antibiotic management improvements in Swiss veterinary practices. By providing more reliable, timely data, IS ABV enables better monitoring of prescribing patterns and supports evidence-based decision-making. This enables the authorities to design targeted interventions and policies aimed at reducing unnecessary antibiotic use, thereby contributing to the fight against antimicrobial resistance.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.