Factors influencing disaster response self-efficacy among registered nurses in Bangladesh

Md. Khalid Hasan; Muksitul Hoque Srijan; Mahib Mahatasim; Ashna Anjum; Asif Imtiaz Abir; Maroa Binte Masud; Suraiya Tahsin; Saif Akram; M. Shefat Ruhane Shuvo; Juyena Akter; Md. Sabbir Hossain; Raihan Uddin; Md. Shakidul Islam

doi:10.1016/j.pdisas.2024.100341

Progress in Disaster Science (Oct 2024)

Factors influencing disaster response self-efficacy among registered nurses in Bangladesh

Md. Khalid Hasan,
Muksitul Hoque Srijan,
Mahib Mahatasim,
Ashna Anjum,
Asif Imtiaz Abir,
Maroa Binte Masud,
Suraiya Tahsin,
Saif Akram,
M. Shefat Ruhane Shuvo,
Juyena Akter,
Md. Sabbir Hossain,
Raihan Uddin,
Md. Shakidul Islam

Affiliations

Md. Khalid Hasan: Corresponding author.; Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Muksitul Hoque Srijan: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Mahib Mahatasim: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Ashna Anjum: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Asif Imtiaz Abir: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Maroa Binte Masud: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Suraiya Tahsin: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Saif Akram: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
M. Shefat Ruhane Shuvo: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Juyena Akter: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Md. Sabbir Hossain: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Raihan Uddin: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia
Md. Shakidul Islam: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka 1000, Bangladesh; School of Nursing and Midwifery, Griffith University, Gold Coast, Queensland, Australia

DOI: https://doi.org/10.1016/j.pdisas.2024.100341
Journal volume & issue: Vol. 23
p. 100341

Abstract

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Background: Nurses are the most prominent healthcare professional group that receives disaster victims and provides regular healthcare support to them at the forefront of disasters and emergencies. As a result, assessing their disaster response self-efficacy (DRSE) level is critical. Objectives: This quantitative study assessed the level of registered nurses' disaster response self-efficacy in Bangladesh and determined the factors influencing DRSE. Methods: In this cross-sectional study, five hundred sixty registered nurses' data were collected from 12 public and private hospitals in four districts of Bangladesh between August and September of 2023. The data was gathered using a self-administered questionnaire that included the modified Disaster Response Self-Efficacy Scale. To analyze the data, we utilized IBM SPSS 26 and Jamovi 2.3.21. Results: The study found a high level of disaster response self-efficacy (M = 3.96, SD = 0.58) among the registered nurses, while their disaster knowledge, skill, and preparedness levels were moderate. Low to moderate correlations were found between self-efficacy in disaster response and disaster-related knowledge (r = 0.349, p < 0.001), disaster skills (r = 0.526, p ˂0.001), and preparedness for disaster (r = 0.589, p ˂0.001) of the registered nurses. Older age, higher nursing designation, working experience in the emergency unit, and higher levels of disaster knowledge significantly influenced registered nurses' self-efficacy while responding to disasters. Conclusion: Registered nurses in Bangladesh have reported high self-efficacy while responding to disasters. However, to enhance their effectiveness, they need to improve their disaster knowledge, skills, and preparedness. To better respond during disasters, it is advisable that nurses receive training in disaster triage, post-disaster mental and psychological health, as well as primary and advanced life support.

Published in Progress in Disaster Science

ISSN: 2590-0617 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Geography. Anthropology. Recreation: Environmental sciences; Social Sciences: Social sciences (General)
Website: https://www.journals.elsevier.com/progress-in-disaster-science/

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