Raphela Tlou D
Department of Disaster Management Training and Education Centre for Africa, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein, South Africa.
Jamba. 2024 Oct 16;16(2):1804. doi: 10.4102/jamba.v16i2.1804. eCollection 2024.
Amidst the COVID-19 pandemic, health systems around the world took a lot of pressure, and the resilience of these systems has been addressed in thedisaster management and COVID-19 literature. However, little focus has been given to the resilience of hospitals in general. Therefore, the study assessed one hospital in the Free State province of South Africa as a preliminary study for a project that will look at all hospitals in the Free State province. The study assessed the following: (1) the preparedness and actionable strategies that were implemented across the waves of the COVID-19 pandemic; (2) the resilience plans of the hospitals and also determined (3) the resilience of the hospital amid the COVID-19 pandemic; (4) the vulnerabilities exposed by the COVID-19 pandemic in the hospital. Using the R statistical program and modelling, I found that the study hospital was not prepared holistically for the COVID-19 pandemic. The five generalised linear mixed models and the general linear models applied did not show significant differences for the most important variables used to measure resilience. The models showed the hospital to be less resilient to pandemics. Several vulnerabilities were recorded across the hospital.
This study's findings suggest that the studied hospital is not resilient to pandemics and will be able to make recommendations to relevant government departments to work together to strengthen the resilience of the country's healthcare system once the project is completed.
在新冠疫情期间,世界各地的卫生系统承受了巨大压力,这些系统的恢复力已在灾害管理和新冠疫情相关文献中有所探讨。然而,总体而言,医院恢复力方面的关注较少。因此,本研究对南非自由邦省的一家医院进行了评估,作为一个将考察自由邦省所有医院的项目的初步研究。该研究评估了以下内容:(1)在新冠疫情各阶段实施的准备情况和可采取行动的策略;(2)医院的恢复力计划,并确定了(3)该医院在新冠疫情期间的恢复力;(4)新冠疫情在医院暴露的脆弱性。使用R统计程序和建模,我发现该研究医院并未全面为新冠疫情做好准备。所应用的五个广义线性混合模型和一般线性模型在用于衡量恢复力的最重要变量方面未显示出显著差异。这些模型表明该医院对疫情的恢复力较弱。医院记录了多个脆弱点。
本研究结果表明,所研究的医院对疫情缺乏恢复力,一旦项目完成,将能够向相关政府部门提出建议,共同努力加强该国医疗系统的恢复力。