{"title":"Healthcare resilience improvement using collaborative care in response to disasters","authors":"Danuphon Tippong , Sanja Petrovic , Vahid Akbari","doi":"10.1016/j.ijdrr.2025.105828","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"130 ","pages":"Article 105828"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420925006521","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.