期刊论文详细信息
BMJ Open Quality
Analysis of antibiotic use patterns in Danish hospitals 2015–2021 using an adapted version of the who aware classification
article
Jacob Anhøj1  Jonas Boel2  Birthe Riis Olesen3  Helle Boelsmand Bak1  Anne-Marie Blok Hellesøe1  Kim Thomsen1  Jenny Dahl Knudsen1 
[1] Department of Clinical Microbiology , Rigshospitalet;Department of Clinical Microbiology , Herlev-Gentofte Hospital;Department of Finance and Planning , Rigshospitalet
关键词: Antibiotic management;    Statistical process control;    Quality improvement;   
DOI  :  10.1136/bmjoq-2022-002098
学科分类:药学
来源: BMJ Publishing Group
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【 摘 要 】

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.Results99%) 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.

【 授权许可】

CC BY-NC|CC BY|CC BY-NC-ND   

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