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Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification

BACKGROUND: AWaRe is a tool to categorise and guide antibiotic use. Antibiotics are classified in three groups: Access, Watch and Reserve. The Access group contains first choice antibiotics for 25 of the most common infections. Antibiotics in the Watch and Reserve groups should be restricted to case...

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Autores principales: Anhøj, Jacob, Boel, Jonas, Olesen, Birthe Riis, Bak, Helle Boelsmand, Hellesøe, Anne-Marie Blok, Thomsen, Kim, Knudsen, Jenny Dahl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685196/
https://www.ncbi.nlm.nih.gov/pubmed/36418070
http://dx.doi.org/10.1136/bmjoq-2022-002098
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author Anhøj, Jacob
Boel, Jonas
Olesen, Birthe Riis
Bak, Helle Boelsmand
Hellesøe, Anne-Marie Blok
Thomsen, Kim
Knudsen, Jenny Dahl
author_facet Anhøj, Jacob
Boel, Jonas
Olesen, Birthe Riis
Bak, Helle Boelsmand
Hellesøe, Anne-Marie Blok
Thomsen, Kim
Knudsen, Jenny Dahl
author_sort Anhøj, Jacob
collection PubMed
description BACKGROUND: AWaRe is a tool to categorise and guide antibiotic use. Antibiotics are classified in three groups: Access, Watch and Reserve. The Access group contains first choice antibiotics for 25 of the most common infections. Antibiotics in the Watch and Reserve groups should be restricted to cases that cannot be effectively treated with drugs from the Access group. OBJECTIVES: The primary aim of this study was to evaluate and adapt the WHO 2019 AWaRe classification for use with antibiotic usage data in Danish hospitals. The secondary aim was to study the usefulness of the abxaware; software package for visualisation and analysis of temporal trends in antibiotic use patterns. METHODS: We obtained data on purchases of antibiotics in Danish hospitals from January 2015 to July 2021. Sixty-seven unique drugs had been purchased. To better correspond with Danish guidelines, we moved two drugs one AWaRe level upwards. To help aggregate antibiotics according to AWaRe and visualise use patterns, we developed an R package, abxaware. RESULTS: After adding two drugs that were not included in the original AWaRe classification nearly all antibiotics (>99%) used in Danish hospitals were covered. The abxaware software package for R is a useful tool to help aggregate, visualise and analyse antibiotic use patterns. CONCLUSIONS: With minor modifications, we adapted the AWaRe classification to cover most antibiotics used in Danish hospitals and to reflect Danish treatment guidelines. The abxaware package is a useful tool to aggregate and plot antibiotic usage data according to the AWaRe classification and to test for non-random variation in the percentage use of Access antibiotics.
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spelling pubmed-96851962022-11-25 Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification Anhøj, Jacob Boel, Jonas Olesen, Birthe Riis Bak, Helle Boelsmand Hellesøe, Anne-Marie Blok Thomsen, Kim Knudsen, Jenny Dahl BMJ Open Qual Research & Reporting Methodology BACKGROUND: AWaRe is a tool to categorise and guide antibiotic use. Antibiotics are classified in three groups: Access, Watch and Reserve. The Access group contains first choice antibiotics for 25 of the most common infections. Antibiotics in the Watch and Reserve groups should be restricted to cases that cannot be effectively treated with drugs from the Access group. OBJECTIVES: The primary aim of this study was to evaluate and adapt the WHO 2019 AWaRe classification for use with antibiotic usage data in Danish hospitals. The secondary aim was to study the usefulness of the abxaware; software package for visualisation and analysis of temporal trends in antibiotic use patterns. METHODS: We obtained data on purchases of antibiotics in Danish hospitals from January 2015 to July 2021. Sixty-seven unique drugs had been purchased. To better correspond with Danish guidelines, we moved two drugs one AWaRe level upwards. To help aggregate antibiotics according to AWaRe and visualise use patterns, we developed an R package, abxaware. RESULTS: After adding two drugs that were not included in the original AWaRe classification nearly all antibiotics (>99%) used in Danish hospitals were covered. The abxaware software package for R is a useful tool to help aggregate, visualise and analyse antibiotic use patterns. CONCLUSIONS: With minor modifications, we adapted the AWaRe classification to cover most antibiotics used in Danish hospitals and to reflect Danish treatment guidelines. The abxaware package is a useful tool to aggregate and plot antibiotic usage data according to the AWaRe classification and to test for non-random variation in the percentage use of Access antibiotics. BMJ Publishing Group 2022-11-23 /pmc/articles/PMC9685196/ /pubmed/36418070 http://dx.doi.org/10.1136/bmjoq-2022-002098 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Research & Reporting Methodology
Anhøj, Jacob
Boel, Jonas
Olesen, Birthe Riis
Bak, Helle Boelsmand
Hellesøe, Anne-Marie Blok
Thomsen, Kim
Knudsen, Jenny Dahl
Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification
title Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification
title_full Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification
title_fullStr Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification
title_full_unstemmed Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification
title_short Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification
title_sort analysis of antibiotic use patterns in danish hospitals 2015–2021 using an adapted version of the who aware classification
topic Research & Reporting Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685196/
https://www.ncbi.nlm.nih.gov/pubmed/36418070
http://dx.doi.org/10.1136/bmjoq-2022-002098
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