Investigating Hospital Preparedness in Ardabil Province Against Unexpected Accidents

International Journal of Disaster Risk Reduction

López‐Meza³

et al. 2020

Considering the unexpected emergence of natural and man-made disasters over the world and Turkey, the importance of preparedness of hospitals, which are the first reference points for people to get healthcare services, becomes clear. Determining the level of disaster preparedness of hospitals is an important and necessary issue. This is because identifying hospitals with low level of preparedness is crucial for disaster preparedness planning. In this study, a hybrid fuzzy decision making model was proposed to evaluate the disaster preparedness of hospitals. This model was developed using fuzzy analytic hierarchy process (FAHP)-fuzzy decision making trial and evaluation laboratory (FDEMATEL)-technique for order preference by similarity to ideal solutions (TOPSIS) techniques and aimed to determine a ranking for hospital disaster preparedness. FAHP is used to determine weights of six main criteria (including hospital buildings, equipment, communication, transportation, personnel, flexibility) and a total of thirty-six sub-criteria regarding disaster preparedness. At the same time, FDEMATEL is applied to uncover the interdependence between criteria and sub-criteria. Finally, TOPSIS is used to obtain ranking of hospitals. To provide inputs for TOPSIS implementation, some key performance indicators are established and related data is gathered by the aid of experts from the assessed hospitals. A case study considering 4 hospitals from the Turkish healthcare sector was used to demonstrate the proposed approach. The results evidenced that Personnel is the most important factor (global weight ¼ 0.280) when evaluating the hospital preparedness while Flexibility has the greatest prominence (c þ r ¼ 23.09).

Section: Review Of the Literaturementioning

confidence: 99%

Evaluation of hospital disaster preparedness by a multi-criteria decision making approach: The case of Turkish hospitals

Ortíz‐Barrios

International Journal of Disaster Risk Reduction

López‐Meza³

et al. 2020

“…In this section, the studies regarding hospital disaster preparedness assessment are analyzed and classified as in Table 1 . When Table 1 is examined in detail, it is easily inferred that cross-sectional questionnaire-based studies are mostly used in the hospital disaster preparedness assessment domain [ 1 , [59] , [60] , [61] , [62] , [63] , [64] , [65] ]. On a different tack, the type of MCDM-based studies which is within the scope of this study has not been adequately addressed in this domain [ 9 , [47] , [48] , [49] ].…”

Section: Review Of the Literaturementioning

confidence: 99%

“…Disasters adversely affect human life and the environment, as their destructiveness is high, and disrupt socioeconomic stability with their effects [ 1 ]. The amount and severity of disasters are increasing over the world and as a result, many deaths, diseases, and economic losses are experienced.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case

Ortíz‐Barrios

International Journal of Disaster Risk Reduction

Yücesan

et al. 2022

The recent increase in the number of disasters over the world has once again brought to the agenda the question of preparedness of the hospitals, which are the most necessary units of healthcare pillar to resist these disasters. The COVID-19 epidemic disease, which has affected the whole world, has caused a large number of people to die in some countries simply because of the inadequate and incomplete planning and lack of readiness of hospitals. For this reason, determining the disaster preparedness level of hospitals is an important issue that needs to be studied and it is important in terms of disaster damage reduction. In this study, a fuzzy hybrid decision-making framework is proposed to assess hospital disaster preparedness. The framework covers three important decision-making methods. For the first phase, Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) is used to assign relative weights for several disaster preparedness criteria considering uncertainty. Secondly, Intuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL) is applied to identify interrelations among these criteria and feedback. Finally, via the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, priorities of hospitals regarding disaster readiness are obtained. A case study involving the participation of 10 Colombian tertiary hospitals is carried out to show the applicability of this fuzzy hybrid approach.

“…ere are also cross-sectional studies using statistical methodologies, Delphi, and similar tools [30,31]. For a broad literature review in disaster preparedness of hospitals, scholars can refer to the papers of Fallah-Aliabadi et al [20], Verheul and Dückers [21], Alruwaili et al [32], and Nekoie-Moghadam et al [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Hospital Preparedness Assessment against COVID-19 Pandemic: A Case Study in Turkish Tertiary Healthcare Services

Mathematical Problems in Engineering

Yücesan

2021

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.