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KMID : 0806120210510060703
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대한간호학회지
2021 Volume.51 No. 6 p.703 ~ p.719
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Collaborative Disaster Governance Recognized by Nurses during a Pandemic
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Rim Da-Hae
Shin Hyun-Sook
Jeon Hye-Jin
Kim Ji-Eun
Chun Hyo-Jin
Oh Hee
Shon Soon-Young
Shim Ka-Ka
Kim Kyung-Mi
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Abstract
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Purpose: We aimed to identify collaborative disaster governance through the demand and supply analysis of resources recognized by nurses during the COVID-19 pandemic.
Methods: 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.
Results: 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.
Conclusion: 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.
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KEYWORD
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Pandemics, Nurses, Disaster Planning, Resource Allocation, COVID-19
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