Validation of the register-based lifetime antimicrobial usage measurement for finisher batches based on comparison with recorded antimicrobial usage at farm level
| Autor: | M. S. Jensen, L. V. De Knegt, Patrick Munk, Frank Møller Aarestrup, Håkan Vigre, Vibe Dalhoff Andersen |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Register based Antiinfective agent Farms Livestock Databases Factual Epidemiology 030106 microbiology Statistical model Original Papers Drug Utilization 03 medical and health sciences Infectious Diseases Anti-Infective Agents Farm level Drug Resistance Bacterial Statistics Animals Internal validity Animal Husbandry Completeness (statistics) Statistic Smoothing Mathematics |
| Zdroj: | Epidemiol Infect |
| ISSN: | 1469-4409 0950-2688 |
| Popis: | Assessing the relationship between antimicrobial usage (AMU) and antimicrobial resistance (AMR) requires the accurate and precise utilisation of register data. Therefore, validation of register-based data is essential for evaluating the quality and, subsequently, the internal validity of studies based on the data.In this study, different smoothing methods for Veterinary Medicine Statistic Program database (VetStat)-records were validated by comparing these with farm-records. Comparison between measurements included accuracy as; completeness and correctness, and precision as; a relative difference of the error, correlation with Fisher's z transformation and reliability coefficient. The most valid methods of those examined were then used in re-analyses of the abundance of AMR genes in 10 finisher batches from a previous study.Improved accuracy was found when detailed smoothing methods were applied. Although the precision also increased, the effect was not as pronounced, as the usage estimate of all smoothing methods deviated moderately compared with the farm-registrations. Applying the most valid methods to the 10 finisher batches increased estimates of statistical model fit for aminoglycosides, lincosamides, tetracyclines and decreased estimates of statistical model fit for macrolides. The estimates of statistical model fit for sulfonamides and broad-spectrum penicillins remained the same.Through refined data transformation, VetStat-records can be used to calculate a daily amount of AMU per pig reflecting the true usage accurately and moderately precisely, which is the foundation for calculating lifetime AMU. |
| Databáze: | OpenAIRE |
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