一个准实验性分析,比较COVID-19和非COVID-19病房的抗菌剂使用情况
Daniel Doyle1, Bruce Dalton2, Zuying Zhang3
1Department of Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, AB, Canada.
Antimicrobial stewardship & healthcare epidemiology : ASHE
|November 1, 2024
概括
在COVID-19病房的抗菌药物使用 (AMU) 在大流行期间显著增加. 一套COVID-19订单影响了处方,在删除后,使用量下降.
科学领域:
- 传染性疾病 传染性疾病
- 医院 医院 药房 医院药房
- 公共卫生 公共卫生
背景情况:
- 新冠肺炎2019 (COVID-19) 疫情导致医疗保健实践发生了重大变化.
- 抗菌剂的使用 (AMU) 是医院获得的感染和抗菌素耐药性的关键因素.
- 了解大流行期间的AMU趋势对于优化抗菌药物管理至关重要.
研究的目的:
- 分析COVID-19大流行之前和期间的抗菌素使用 (AMU) 趋势.
- 为了比较COVID-19和非COVID-19病房之间的AMU.
- 为了调查COVID-19订单和AMU模式之间的关联.
主要方法:
- 采用了准实验性的,追溯的中断时间序列分析.
- 在1至4的疫情浪潮期间,从4家医院的5个COVID-19和4个非COVID-19病房收集了数据.
- 发病率比率 (IRR) 使用波松回归计算,以比较AMU率.
主要成果:
- 与所有系统性抗微生物药物的控制病房相比,在COVID-19病房观察到明显更高的AMU率.
- 特定的药物,如阿齐思罗米和 ceftriaxone 显示显著增加在COVID-19病房的使用.
- 在删除COVID-19订单后,这些药物的使用减少了两倍.
结论:
- COVID-19 流行病与抗微生物药物的使用增加有关,特别是在专门的 COVID-19 病房.
- 实施的COVID-19订单集显著影响了某些抗微生物药物的处方行为.
- 对临床决策支持工具进行重新评估和潜在的修改是有必要的,以优化AMU.
更多相关视频
09:26Antibiotic Efficacy Testing in an Ex vivo Model of Pseudomonas aeruginosa and Staphylococcus aureus Biofilms in the Cystic Fibrosis Lung
Published on: January 22, 2021
6.9K
06:18Quantifying the Effects of Antimicrobials on In vitro Biofilm Architecture using COMSTAT Software
Published on: December 14, 2020
3.3K
相关概念视频
Controls in Experiments
6.9K
When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
6.9K
Comparing the Survival Analysis of Two or More Groups
155
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
155
Antimicrobial Effectiveness
2
The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
2
Healthcare Associated Infections II: Preventive Measures
2.5K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.5K
