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Sales data as a measure of antibiotics usage: Concepts, examples and discussion of influencing factors

Monitoring and surveillance of antimicrobial usage in animals is a public health concern and different methods are currently discussed widely in public, science and politics. The objective of the paper is to present the available methods of monitoring and to discuss possible differences in the asses...

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Autores principales: Merle, Roswitha, Meyer‐Kühling, Borris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036299/
https://www.ncbi.nlm.nih.gov/pubmed/31634982
http://dx.doi.org/10.1002/vms3.205
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author Merle, Roswitha
Meyer‐Kühling, Borris
author_facet Merle, Roswitha
Meyer‐Kühling, Borris
author_sort Merle, Roswitha
collection PubMed
description Monitoring and surveillance of antimicrobial usage in animals is a public health concern and different methods are currently discussed widely in public, science and politics. The objective of the paper is to present the available methods of monitoring and to discuss possible differences in the assessment of the antibiotics treatment. Sales data are expressed as the average amount of substance per animal or kg live weight (e.g. population‐corrected unit, PCU). The number of Defined Daily Doses (nDDDvet) is calculated by extrapolating sales data with average animal weights and defined drug doses to a number of treatments theoretically applied to animals. In contrast, the number of Used Daily Doses (nUDDvet) displays the actual number of treatments which have been applied. As sales data are relatively easily obtained, they are frequently used. However, their results are influenced by the composition of the population and by the dose of the substances. As both may vary strongly between countries, direct comparison of sales data between countries may be misleading. The concept of analysing sales data is shown by exemplarily using the methods in the ESVAC report 2015. The presentation of usage data in terms of nDDDvet or of nUDDvet increases the comparability of the data from different countries or time periods. Furthermore, fluoroquinolones and third‐/fourth‐generation cephalosporins which, among other substances, bare a potential risk for human health, are used at low doses. Hence, their use contributes to a sales reduction while contrasting the guidelines of prudent use. nDDDvet or nUDDvet have the ability to better reflect the treatment frequency and thus to better link antibiotics use to public health concerns. Quantification of antibiotics should assist to focus on prudent use of antimicrobials to reduce the burden of resistant bacteria and, thus, enhance public health, animal health and animal welfare.
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spelling pubmed-70362992020-02-26 Sales data as a measure of antibiotics usage: Concepts, examples and discussion of influencing factors Merle, Roswitha Meyer‐Kühling, Borris Vet Med Sci Original Articles Monitoring and surveillance of antimicrobial usage in animals is a public health concern and different methods are currently discussed widely in public, science and politics. The objective of the paper is to present the available methods of monitoring and to discuss possible differences in the assessment of the antibiotics treatment. Sales data are expressed as the average amount of substance per animal or kg live weight (e.g. population‐corrected unit, PCU). The number of Defined Daily Doses (nDDDvet) is calculated by extrapolating sales data with average animal weights and defined drug doses to a number of treatments theoretically applied to animals. In contrast, the number of Used Daily Doses (nUDDvet) displays the actual number of treatments which have been applied. As sales data are relatively easily obtained, they are frequently used. However, their results are influenced by the composition of the population and by the dose of the substances. As both may vary strongly between countries, direct comparison of sales data between countries may be misleading. The concept of analysing sales data is shown by exemplarily using the methods in the ESVAC report 2015. The presentation of usage data in terms of nDDDvet or of nUDDvet increases the comparability of the data from different countries or time periods. Furthermore, fluoroquinolones and third‐/fourth‐generation cephalosporins which, among other substances, bare a potential risk for human health, are used at low doses. Hence, their use contributes to a sales reduction while contrasting the guidelines of prudent use. nDDDvet or nUDDvet have the ability to better reflect the treatment frequency and thus to better link antibiotics use to public health concerns. Quantification of antibiotics should assist to focus on prudent use of antimicrobials to reduce the burden of resistant bacteria and, thus, enhance public health, animal health and animal welfare. John Wiley and Sons Inc. 2019-10-21 /pmc/articles/PMC7036299/ /pubmed/31634982 http://dx.doi.org/10.1002/vms3.205 Text en © 2019 The Authors. Veterinary Medicine and Science Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Merle, Roswitha
Meyer‐Kühling, Borris
Sales data as a measure of antibiotics usage: Concepts, examples and discussion of influencing factors
title Sales data as a measure of antibiotics usage: Concepts, examples and discussion of influencing factors
title_full Sales data as a measure of antibiotics usage: Concepts, examples and discussion of influencing factors
title_fullStr Sales data as a measure of antibiotics usage: Concepts, examples and discussion of influencing factors
title_full_unstemmed Sales data as a measure of antibiotics usage: Concepts, examples and discussion of influencing factors
title_short Sales data as a measure of antibiotics usage: Concepts, examples and discussion of influencing factors
title_sort sales data as a measure of antibiotics usage: concepts, examples and discussion of influencing factors
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036299/
https://www.ncbi.nlm.nih.gov/pubmed/31634982
http://dx.doi.org/10.1002/vms3.205
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