Rim Dahae, Shin Hyunsook, Jeon Hyejin, Kim Jieun, Chun Hyojin, Oh Hee, Shon Soonyoung, Shim Kaka, Kim Kyung Mi
College of Nursing Science, Kyung Hee University, Seoul, Korea.
College of Nursing, Keimyung University, Daegu, Korea.
J Korean Acad Nurs. 2021 Dec;51(6):703-719. doi: 10.4040/jkan.21163.
We aimed to identify collaborative disaster governance through the demand and supply analysis of resources recognized by nurses during the COVID-19 pandemic.
We used a descriptive study design with an online survey technique for data collection. The survey questions were developed based on focus group interviews with nurses responding to COVID-19 and expert validity testing. A 42-question online survey focusing on disaster governance was sent to nurses working in COVID-19 designated hospitals, public health offices, and schools. A total of 630 nurses participated in the survey. Demand and supply analysis was used to identify the specific components of disaster governance during a pandemic situation and analyze priority areas in disaster governance, as reported by nurses.
Demand and supply analysis showed that supplies procurement, cooperation, education, and environment factors clustered in the high demand and supply quadrant while labor condition, advocacy, emotional support, and workload adjustment factors clustered in the high demand but low supply quadrant, indicating a strong need in those areas of disaster governance among nurses. The nurses practicing at the public health offices and schools showed major components of disaster governance plotted in the second quadrant, indicating weak collaborative disaster governance.
These findings show that there is an unbalanced distribution among nurses, resulting in major challenges in collaborative disaster governance during COVID-19. In the future and current pandemic, collaborative disaster governance, through improved distribution, will be useful for helping nurses to access more required resources and achieve effective pandemic response.
我们旨在通过对护士在新冠疫情期间所认识到的资源需求与供给分析，来确定协作式灾害治理。
我们采用描述性研究设计，并运用在线调查技术收集数据。调查问题是基于对应对新冠疫情的护士进行焦点小组访谈以及专家效度测试而制定的。一项针对灾害治理的包含42个问题的在线调查被发送给在新冠指定医院、公共卫生办公室和学校工作的护士。共有630名护士参与了该调查。需求与供给分析被用于确定大流行情况下灾害治理的具体组成部分，并分析护士所报告的灾害治理优先领域。
需求与供给分析表明，物资采购、合作、教育和环境因素聚集在高需求与高供给象限，而劳动条件、宣传、情感支持和工作量调整因素聚集在高需求但低供给象限，这表明护士在这些灾害治理领域有强烈需求。在公共卫生办公室和学校工作的护士所呈现的灾害治理主要组成部分位于第二象限，表明协作式灾害治理薄弱。
这些发现表明，护士之间存在资源分配不均衡的情况，这在新冠疫情期间的协作式灾害治理中带来了重大挑战。在未来及当前的大流行中，通过改善分配来实现协作式灾害治理，将有助于护士获取更多所需资源并实现有效的疫情应对。
