Quantifying and contextualising antimicrobial usage using automated disease classification tools

switching from clarithromycin to doxycycline for treating Rhodococcus equi related disease.Main limitations: Relatively small sample size from a single growing practice with stud medicine bias.Conclusions: Over the past 12 years, this practice's AMU moved away from HPCIA.From 2020, antimicrobial stewardship measures (ProtectME and PPRS) appear to have positively influenced reductions in HPCIA and CIA use.

Publication Details

Journal
Equine Veterinary Journal
Published
2025-09-01
DOI
https://doi.org/10.1111/evj.70024
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantifying and contextualising antimicrobial usage using automated disease classification tools

Equine Veterinary Journal
Data-Driven Disease Surveillance
article

Quantifying and contextualising antimicrobial usage using automated disease classification tools

article en

Abstract

switching from clarithromycin to doxycycline for treating Rhodococcus equi related disease.Main limitations: Relatively small sample size from a single growing practice with stud medicine bias.Conclusions: Over the past 12 years, this practice's AMU moved away from HPCIA.From 2020, antimicrobial stewardship measures (ProtectME and PPRS) appear to have positively influenced reductions in HPCIA and CIA use.

Equine Veterinary JournalVol. 57(S61)
Openalex Percentile: Top 68%
Data-Driven Disease Surveillance
DOIOpen Access PDFOpenAlex
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Quantifying and contextualising antimicrobial usage using automated disease classification tools · Equine Veterinary Journal (2025) | TGRS Research Map | TGRS