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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Hospital Preparedness Assessment against COVID-19 Pandemic: A Case Study in Turkish Tertiary Healthcare Services
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Hospital Preparedness Assessment against COVID-19 Pandemic: A Case Study in Turkish Tertiary Healthcare Services

机译:对Covid-19大流行的医院准备评估:土耳其三国医疗服务的案例研究

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Hospitals play a critical role in providing essential health services to people in the healthcare system. Healthcare systems around the world have faced some issues in responding to patients with various disease severity levels. Nowadays, the world as a whole is combating a pandemic called COVID-19. This pandemic causes an increase in the disease spread with fluctuated patient demand that may affect the hospitals’ capacity and overall functioning and risks rising based on hospital site, medical staff, patient, and healthcare process. To deal with the challenges of the COVID-19 pandemic, hospitals must have completed their preparations before these events occur. Therefore, this study proposes an integrated approach based on the decision-making concept with interval-valued spherical fuzzy sets (IVSFSs) to the hospital preparedness assessment problem. A technique for order preference by similarity to ideal solution (TOPSIS) extended with IVSFSs is used to rank hospitals from Turkish tertiary healthcare services. A checklist reported by the World Health Organization (WHO) is adapted to conform to Turkey’s COVID-19 pandemic management. Ninety-nine subcomponents of the adapted checklist under ten components are weighted by interval-valued spherical weighted arithmetic mean (IVSWAM) operator. The hospitals in the problem are then ranked concerning these weighted subcomponents. With the proposed approach, a COVID-19 pandemic preparedness index is determined for the observed hospitals. In addition, a separate index based on each main component (component-based ranking) is determined. These indexes are vital indicators in determining in which aspects hospitals are ready and in what aspects hospitals are not prepared for pandemics. The proposed approach can be adaptable and applied by national policymakers in assessing all hospitals of the country against the COVID-19 pandemic.
机译:医院在为医疗保健系统中的人们提供基本的健康服务方面发挥着关键作用。世界各地的医疗保健系统面临着患有各种疾病严重程度的患者的一些问题。如今,整个世界正在打击一个被称为Covid-19的流行病。这种大流行导致疾病的增加,患有波动的患者需求,可能会影响医院的能力和基于医院现场,医务人员,患者和医疗保健过程的升高的风险。为了应对Covid-19大流行的挑战,医院必须在这些活动发生之前完成其准备。因此,本研究提出了一种基于与间歇性球形模糊集(IVSFS)的决策概念的综合方法,包括医院准备评估问题。通过与IVSFSS扩展的理想解决方案(TOPSIS)相似性的顺序偏好技术用于从土耳其三国医疗保健服务中排名医院。世界卫生组织(世卫组织)报告的清单适用于土耳其的Covid-19大流行管理。在十个组件下的适应核对表的九十九个子组件被间隔值球形加权算术平均值(IVSWAM)操作员加权。然后,问题的医院对这些加权子组件进行排名。通过提出的方法,针对观察到的医院确定Covid-19大流行准备指数。另外,确定基于每个主要组件(基于组件的排名)的单独索引。这些指标在确定哪个方面的医院准备好并在医院没有为Pandemics做好准备的方面的重要指标。拟议的方法可以适应,并通过国家政策制定者应用于评估该国的所有医院对Covid-19大流行。

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