{"title":"Use of a Key Drivers Diagram in preparation for COVID-19 at an urban, academic anesthesiology department","authors":"K. Parr, Geoffrey Ho, Michelle S. Burnette, James Gould, B. Petinaux, M. Sherman, Jeffrey S. Berger","doi":"10.21037/jhmhp-21-5","DOIUrl":null,"url":null,"abstract":"Background: The 2019 novel coronavirus pandemic has had a significant impact on anesthesiology practice globally. Its high infectivity and severity of onset has led to numerous examples of healthcare systems being overwhelmed, especially at its incipience. Drawing on experiences from previous pandemics, we anticipated that our Anesthesiology Department would be faced with unique challenges due to our proximity to airway maneuvers. We set out to intentionally strategize a quality improvement framework with which to guide our departmental response. Methods: We employed a Key Drivers Diagram (KDD) model to strategically account for the numerous novel quality improvement measures implemented simultaneously in response to the pandemic. Having identified areas of interest, measurable indices were identified, and dynamic progress assessed using run charts. These were (I) protect patients and staff, (II) keep up-to-date with evolving evidence, (III) maintain communication with department, (IV) keep staff engaged, and (V) align departmental goals with institutional aims. Results: Positive trends in staff engagement were identified across participation in educational activities such as guideline development, grand round attendance, and interdepartmental meetings. Conclusions: The KDD provided a valuable framework for managing parallel quality improvement processes. It enabled leadership to identify needs, measure adequacy of response and implement changes in a rapidly evolving environment. © Journal of Hospital Management and Health Policy. All rights reserved.","PeriodicalId":92075,"journal":{"name":"Journal of hospital management and health policy","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of hospital management and health policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/jhmhp-21-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
在城市学术麻醉科准备COVID-19时使用关键驱动图
背景:2019年新型冠状病毒大流行对全球麻醉实践产生了重大影响。它的高传染性和发病的严重性导致了许多医疗系统不堪重负的例子,尤其是在刚开始的时候。根据以往流行病的经验,我们预计,由于我们接近气道操作,我们的麻醉科将面临独特的挑战。我们开始有意制定一个质量改进框架,以指导我们的部门反应。方法:我们采用了关键驱动因素图(KDD)模型,从战略上解释了为应对疫情而同时实施的许多新的质量改进措施。在确定了感兴趣的领域后,确定了可衡量的指数,并使用运行图评估了动态进展。这些措施包括:(I)保护患者和工作人员,(II)及时了解不断发展的证据,(III)与部门保持沟通,(IV)保持员工参与,以及(V)使部门目标与机构目标保持一致。结果:在参与指导方针制定、大圆桌会议和部门间会议等教育活动方面,发现了员工参与度的积极趋势。结论:KDD为管理并行质量改进过程提供了一个有价值的框架。它使领导层能够确定需求,衡量应对措施的充分性,并在快速发展的环境中实施变革。©《医院管理与健康政策杂志》。保留所有权利。
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