灰色区域;在急诊科应对COVID-19的新策略

Rouzbeh Rajaei Ghafouri, Samad Shams Vahdati, S. Ahmadi, Zahra Hosseinnejad, M. Khalilzad, A. Naseri
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引用次数: 1

摘要

2019冠状病毒病(COVID-19)大流行,几乎影响到人类生活的方方面面。为了应对这一危机,为急诊科设计了一个称为灰色地带的单独病房,并在伊朗东阿塞拜疆省一级应用。本研究旨在评估该项目的有效性,提高感染患者位置的可服务性和隔离性,并显示其可行性和成效。方法:本研究为分析性研究。在2020年3月20日至9月21日期间收集了39家医院的统计数据。描述性统计及相关系数采用IBM SPSS第26版进行计算。结果:在77489例急诊COVID-19患者中,约0.38%的患者在急诊死亡。22.63%的急诊科面积分配给COVID-19患者,70.46%的急诊科护士工作在灰色地带。6小时和12小时死亡率和处置率与区域、患者人数、护士人数、护士轮班数、每个患者护士人数、每个患者护士轮班数、每个患者面积均无显著相关。结论:灰色地带是急诊科应对COVID-19的适当策略,如果更多的研究支持这些结果,该策略可用于应对此次大流行以及资源有限国家未来的类似情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gray area; a novel strategy to confront COVID-19 in emergency departments
Introduction: Coronavirus disease 2019 (COVID-19) pandemic, affects almost every aspect of human life. To confront this crisis, a separate ward called gray area was designed for emergency departments (EDs) and applied at the provincial level in East-Azerbaijan, Iran. This study aimed to evaluate the effectiveness of this project, increase the serviceability and segregation of the location of infected patients, and show how feasible and fruitful it can be. Methods: This study is an analytical study. The statistical data collection from 39 hospitals was performed between 20 March to 21 September 2020. Descriptive Statistics as well as correlation coefficients were calculated using the 26th version of IBM SPSS. Results: Among 77489 COVID-19 patients admitted to the EDs, approximately 0.38% of patients died in EDs. 22.63% of EDs area was allocated to COVID-19 patients and 70.46% of ED nurses, worked in the gray area. There was no significant correlation between area, number of patients, number of nurses, number of shifts of nurses, number of nurses for each patient, number of nurse shifts for each patient, and area for each patient with mortality rate and rates of disposition in 6 and 12 hours. Conclusion: Gray area is an appropriate strategy to confront COVID-19 in EDs and if more studies approve these results, this strategy can be used to confront this pandemic and future similar conditions in resource-limited countries.
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