Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA; Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA; Department of Environmental Medicine, NYU Grossman School of Medicine, New York, NY, USA.
Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA; Department of Surgery, NYU Grossman School of Medicine, New York, NY, USA.
J Hosp Infect. 2020 Aug;105(4):710-716. doi: 10.1016/j.jhin.2020.06.012. Epub 2020 Jun 14.
The rapid growth of the coronavirus disease 2019 (COVID-19) pandemic, limited availability of personal protective equipment, and uncertainties regarding transmission modes of severe acute respiratory syndrome coronavirus-2 have heightened concerns for the safety of healthcare workers (HCWs). Systematic studies of occupational risks for COVID-19 in the context of community risks are difficult and have only recently started to be reported. Ongoing quality improvement studies in various locales and within many affected healthcare institutions are needed. A template design for small-scale quality improvement surveys is proposed. Such surveys have the potential for rapid implementation and completion, are cost-effective, impose little administrative or workforce burden, can reveal occupational risks while taking community risks into account, and can be repeated easily with short time intervals between repetitions. This article describes a template design and proposes a survey instrument that is easily modifiable to fit the particular needs of various healthcare institutions in the hope of beginning a collaborative effort to refine the design and instrument. These methods, along with data management and analytic techniques, can be widely useful and shared globally. The authors' goal is to facilitate quality improvement surveys aimed at reducing the risk of occupational infection of HCWs during the COVID-19 pandemic.
新型冠状病毒病 2019(COVID-19)疫情迅速蔓延,个人防护设备有限,且严重急性呼吸综合征冠状病毒 2 的传播模式存在不确定性,这使人们对医护人员(HCWs)的安全产生了高度关注。在社区风险背景下,对 COVID-19 的职业风险进行系统研究具有一定难度,直到最近才开始有相关报道。在不同地点和许多受影响的医疗机构中,需要进行持续的质量改进研究。本研究提出了一种小规模质量改进调查的模板设计。这种调查具有快速实施和完成的潜力,具有成本效益,对行政或劳动力负担很小,可以在考虑社区风险的同时揭示职业风险,并且可以很容易地重复进行,两次重复之间的时间间隔很短。本文描述了一种模板设计,并提出了一种调查工具,该工具可根据各个医疗机构的特定需求进行修改,希望以此为起点,共同努力改进设计和工具。这些方法以及数据管理和分析技术可以在全球范围内广泛应用和共享。作者的目标是促进旨在降低 COVID-19 大流行期间医护人员职业感染风险的质量改进调查。