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Factors Influencing Hospitals’ Disaster Preparedness in the Eastern Province of Saudi Arabia

Published online by Cambridge University Press:  14 February 2023

Abdullah Saleh Alruwaili*
Affiliation:
Emergency Medical Services Program, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Al Ahsa, Saudi Arabia King Abdullah International Medical Research Center, Al Ahsa, Saudi Arabia
Md Shahidul Islam
Affiliation:
School of Health, University of New England, Armidale, 2350, Australia
Kim Usher
Affiliation:
School of Health, University of New England, Armidale, 2350, Australia
*
Corresponding author: Abdullah Saleh Alruwaili, Email: ruwailia1@yahoo.com.
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Abstract

Objective:

The study aimed to identify the factors that influence the disaster preparedness of hospitals and validate an evaluation framework to assess hospital disaster preparedness (HDP) capability in the Eastern Province of Saudi Arabia.

Methods:

A cross-sectional survey of all hospitals (n = 72) in the Eastern Region of Saudi Arabia was conducted. A factor analysis method was used to identify common factors and validate the evaluation framework to assess HDP capacity.

Results:

Sixty-three (63) hospitals responded to the survey. A 3-factor structure was identified as key predicators of HDP capacity. The first factor was the most highly weighted factor, which included education and training (0.849), monitoring and assessing HDP (0.723), disaster planning (0.721), and command and control (0.713). The second factor included surge capacity (0.708), triage system (0.844), post-disaster recovery (0.809), and communication (0.678). The third factor represented safety and security (0.638) as well as logistics, equipment, and supplies (0.766).

Conclusion:

The identified 3-factor structure provides an innovative approach to assist the operationalization of the concept of HDP capacity building and service improvement, as well as serve as a groundwork to further develop instrument for assessing HDP in future studies.

Information

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.
Figure 0

Table 1. Communalities

Figure 1

Table 2. Total variance explained

Figure 2

Table 3. Rotated component matrix

Figure 3

Table 4. Cronbach’s alpha and test-retest reliability

Figure 4

Table 5. Comparison of three common factors between government and private hospitals (mean ± SD)

Figure 5

Table 6. Comparison of three common factors between teaching and non-teaching hospitals (mean ± SD)

Figure 6

Table 7. Comparison of three common factors between three care levels of hospitals (mean ± SD)