People receive health services from hospitals depending on their location and the area of health they serve. There is an ongoing cycle in all respects, from the number of employees to the availability of empty beds, from food and water supply to the parking layout. They serve people for daily illnesses, accidents or chronic diseases and operate within a certain system. Hospitals are places that people may need at any time throughout their lives.
Via the “Credal ranking”, which is the contribution of BBWM to the literature, the interpretation of the hierarchy between each criterion has been performed more precisely. The usage of BBWM in this study enabled the expert group’s views to be combined without loss of information and to determine the criteria and sub-criteria weights with less pairwise comparisons in a probabilistic perspective. Based on TOPSIS application results, Hospital-2 was again found the most-ready hospital. The solidity of the results was checked with TOPSIS. The remaining rankings were Hospital-6, Hospital-3 and Hospital-1. According to the results of the comparative study, Hospital-2 was determined as the most disaster-ready hospital in all six different scenarios. The VIKOR Q value of this hospital was obtained as 0.000. Hospital-2 was determined as the most prepared hospital for disasters as a result of VIKOR application. This criterion is followed by “Equipment” with 25%, “Transportation” with 14%, “Hospital building” and “Communication” with 12%, and “Flexibility” with 11%. BBWM application results show that the “Personnel” criterion was determined as the most important criterion with an importance value of 26%. In addition, a comparative study and sensitivity analysis were carried out using weight vectors obtained by different tools. These weight values and the data obtained from the six Turkish hospitals were combined to provide inputs for VIKOR and TOPSIS. The criteria and sub-criteria evaluated in pairwise comparison manner by the experts were weighted with BBWM. With the proposed decision model, six main criteria and 34 sub-criteria related to disaster preparedness of hospitals were considered. This decision model includes Bayesian best–worst method (BBWM), the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and technique for order preference by similarity to ideal solution (TOPSIS) methods. In this study, a multi-criteria decision-making model was developed to evaluate disaster preparedness of hospitals. All preparations should be made considering the worst possible conditions and the provided service should continue without interruption.
Hospitals are the first point of contact for people in the face of disasters that interfere with the daily functioning of life and endanger health and social life.