Royal Cornwall Hospitals NHS Trust, Treliske, UK
Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
Clin Med (Lond). 2022 Sep;22(5):455-460. doi: 10.7861/clinmed.2021-0757.
Antibiotic use drives antimicrobial resistance (AMR). The Antimicrobial Review Kit (ARK) study is a complex intervention based on national antibiotic stewardship guidance. We describe the implementation of ARK at a 760-bed teaching hospital that uses electronic prescribing. An online education module was disseminated to healthcare workers, and the ARK decision tool was incorporated into the medical clerking pro forma. From July 2018, junior doctors audited the frequency, the outcomes of pre-72-hour antibiotic reviews and the use of the ARK tool. The data were used to formulate specialty-level feedback and bench marking. First-phase data were plotted on statistical process control (SPC) charts to distinguish between common and special cause variation. There was significant improvement in antibiotic review rates (81% to 93%) and stop rates (10% to 15%). The stop rate reached 25% in the most recent data. Given the promising trends, it may be possible to achieve the target stop rate of 30%.
抗生素的使用导致了抗菌药物耐药性(AMR)的产生。抗菌药物审查工具包(ARK)研究是一项基于国家抗生素管理指导的复杂干预措施。我们描述了在一家使用电子处方的 760 张病床教学医院中实施 ARK 的情况。我们向医护人员分发了在线教育模块,并将 ARK 决策工具纳入了医疗记录单。从 2018 年 7 月开始,初级医生审核了 72 小时前抗生素审查的频率、结果和 ARK 工具的使用情况。这些数据被用于制定专业层面的反馈和基准。第一阶段的数据被绘制在统计过程控制(SPC)图表上,以区分常见和特殊原因的变化。抗生素审查率(从 81%提高到 93%)和停药率(从 10%提高到 15%)有显著提高。最近的数据显示停药率达到了 25%。鉴于有希望的趋势,可能有可能达到 30%的目标停药率。