Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Healthcare resilience improvement using collaborative care in response to disasters

Bibliographic Data

ID22025820
AuthorsDanuphon Tippong (0000-0002-6146-1316, Prince of Songkla University), Sanja Petrovic (0000-0002-1424-5696, University of Nottingham, corresponding author), Vahid Akbari (0000-0002-0152-7176, University of Nottingham)
Year2025
Volume130
Pages105828
Publication date2025-11-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2025.105828
OpenAlexW4414298276
LanguageEN
References cited43

This paper describes discrete event simulation models developed to investigate three different strategies which provide emergency medical response operations with different collaborations involved to improve resilience of the healthcare network in disaster management. Three strategies include the historical non-collaborative care, the current semi-collaborative care, and a new collaborative care that we propose to address the limitations of the first two strategies. These strategies differ in the level of information sharing during initial treatments, and decisions on resource allocation and patient transportation. A general resilience metric was adapted to fit the healthcare context and used to evaluate the collaborative care strategies in various disaster scenarios (mild, moderate, and severe). In our experimental setting, the new collaborative care strategy consistently enhanced resilience, facilitating a quicker return to the pre-disaster state compared to the other two approaches. In contrast, the semi-collaborative care strategy demonstrated worse resilience in nearly all scenarios, although it outperformed the non-collaborative care when dealing with a small number of patients. The study offers managerial insights into collaborative characteristics within the healthcare network and their influence on the network resilience during disasters. The insights can be valuable to emergency planners in formulating more effective strategies for collaborative care and support the decision making on resource sharing in response to disasters

Collaborative Care · Collaborative network · Emergency management · Health care · Resource allocation · Disaster Management and Resilience · Disaster Response and Management · Facility Location and Emergency Management

  • What is a resilient health system? Lessons from Ebola

    Open Access•Margaret E Kruk, Michael Myers et al.•The Lancet•2015

  • A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities

    Open Access•Michel Bruneau, Stephanie E Chang et al.•Earthquake Spectra•2003

  • Evaluation of road network resilience under a volcanic debris flow disaster at Changbaishan Mountain based on inundation simulations

    Open Access•Qiandong Hu, Qiugen Hu et al.•International Journal of Disaster…•2025

  • Exploring communication inefficiencies in disaster response

    Open Access•Reem Abbas, Todd Q Miller et al.•International Journal of Disaster…•2025

  • Disaster resilience analysis framework for lifeline networks

    Open Access•Taeyong Kim, Sang-ri Yi et al.•International Journal of Disaster…•2025

  • Examining organizational collaboration and resource flows of disaster response system based on a time-dynamic perspective

    Open Access•Fei Sun, Haibo Li et al.•International Journal of Disaster…•2024

  • Establishing a frame of reference for measuring disaster resilience

    Open Access•Christopher W Zobel, Cameron A MacKenzie et al.•Decision Support Systems•2021

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae