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Volume 18, Issue 2 (2026)
Iran J War Public Health 2026, 18(2): 1001-1017 |
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Received: 2026/06/5 | Accepted: 2026/06/22 | Published: 2026/07/19
Received: 2026/06/5 | Accepted: 2026/06/22 | Published: 2026/07/19
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Zuryaty Z, Lutfi M, Ahied M. Investigation of Health Workforce Communication Model in Decentralized Disaster Mitigation: Structural Equation Modeling Analysis. Iran J War Public Health 2026; 18 (2) :1001-1017
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Abstract (229 Views)
Aims: to analyze the Communication Model of Health Workers in Decentralized Disaster Mitigation, as high disaster risk mitigation makes this area an area that requires special attention in disaster management efforts.
Materials & Methods: This paper adopted an explanatory quantitative research study approach, referring to the validated metrics measured customer focus, leader commitment, situational awareness, media partnership and health workforce communication. The Regional Health Workforce in East Java involves 214 local government primary health workers. Direct variable links were examined using PLS-SEM.
Findings: Customer focus (β = 0.735; p = 0.001), leader commitment (β = 0.621; p = 0.001) situational awareness (β = 0.542; p = 0.001), media partnership (β = 0.387; p = 0.001) significantly directly contribute to Health Worker Communication.
Conclusion: The Health Worker Communication Model in Decentralized Disaster Mitigation can be improved through the variables of customer focus, leader commitment, situational awareness, and media partnerships. Selective Health Workforce Communication is critical in evaluating customer focus, leader commitment, situational awareness, and media partnerships. Decentralized Health Workforce Communication requires management of a diverse and coordinated workforce in Disaster Mitigation.
Materials & Methods: This paper adopted an explanatory quantitative research study approach, referring to the validated metrics measured customer focus, leader commitment, situational awareness, media partnership and health workforce communication. The Regional Health Workforce in East Java involves 214 local government primary health workers. Direct variable links were examined using PLS-SEM.
Findings: Customer focus (β = 0.735; p = 0.001), leader commitment (β = 0.621; p = 0.001) situational awareness (β = 0.542; p = 0.001), media partnership (β = 0.387; p = 0.001) significantly directly contribute to Health Worker Communication.
Conclusion: The Health Worker Communication Model in Decentralized Disaster Mitigation can be improved through the variables of customer focus, leader commitment, situational awareness, and media partnerships. Selective Health Workforce Communication is critical in evaluating customer focus, leader commitment, situational awareness, and media partnerships. Decentralized Health Workforce Communication requires management of a diverse and coordinated workforce in Disaster Mitigation.
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