Investigating of Resilience Scale of Selected Hospitals in Yazd City during Disaster Conditions in 2023

Haniye  Akhoondi; Amirali  Ameryoun; Rasoul  Najafi; Rohollah  Askari

doi:10.18502/mshsj.v9i2.16524

Haniye Akhoondi MSC student in Health Services Management, Department of Health Management and Economics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Amirali Ameryoun MSC student in Health Services Management, Department of Health Management and Economics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Rasoul Najafi MSC in Biostatistics, Health Data Modeling Research Center, Department of Biostatistics and Epidemiology, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Rohollah Askari Professor, Department of Health Management and Economics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

DOI: https://doi.org/10.18502/mshsj.v9i2.16524

Keywords: Resilience, Disaster, Hospital

Abstract

Background: The need for healthcare is one of the fundamental needs of humans in critical and emergency situations. Hospitals and healthcare centers are among the first units that can reduce casualties by providing optimal and timely healthcare services. Therefore, the present study aims to evaluate the resilience status of selected hospitals in Yazd city during the crisis in the year 2023.

Methods: This research is a descriptive-cross sectional study conducted in 2023 in 5 selected hospitals in Yazd (classified by hospital ownership: university hospitals A, B, C, charity hospital D, and private hospital E). The resilience level of the hospitals during a crisis was assessed using Zhong's standard questionnaire, which evaluated 9 dimensions of resilience. Responses to the questions were based on a 5-point Likert scale (always to never), and data were analyzed using SPSS 26 software. Quantitative data were reported with central (mean) and dispersion (standard deviation) indicators, followed by qualitative (demographic) data as numbers and percentages.

Results: The results showed that the overall resilience status of the hospitals in this study averaged 3.95 ± 0.69, which was evaluated at a good level. The highest score was for the private hospital E with an average of 4.30 ± 0.55, and the lowest score was for the public hospital A with an average of 3.75 ± 0.55. Hospital A's score was at a moderate level, while the remaining hospitals were rated at a good level.

Conclusion: Considering the average resilience of hospitals in a number of areas, it is suggested to develop and present training programs related to preparing for critical situations and holding maneuvers and conducting exercises with emphasis on training key employees.