已发表论文

发热门诊协同治理策略:多场景演化博弈分析

 

Authors Huang W, Wang Y, Meng N, Wang K , Yin L, Li H, Wu Q , Liu H

Received 20 September 2024

Accepted for publication 5 February 2025

Published 18 February 2025 Volume 2025:18 Pages 517—536

DOI https://doi.org/10.2147/RMHP.S497125

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Jongwha Chang

Weiqi Huang,* Yingxin Wang,* Nan Meng, Kexin Wang, Long Yin, Hongyu Li, Qunhong Wu, Huan Liu* 

Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Huan Liu, Department of Social Medicine, School of Health Management, Harbin Medical University, 157 health Road, Nangang District, Harbin, Heilongjiang Province, 150081, People’s Republic of China, Tel + 86-451-87502851, Fax + 86-451-87502853, Email liuhuan00813@163.com

Purpose: China’s fever clinics succeeded during the Coronavirus Disease 2019 pandemic but revealed operational deficiencies. This study explores multiparty coordination mechanisms in fever clinics to improve collaborative management and efficiency in epidemic control.
Patients and Methods: A tripartite evolutionary game model was constructed, involving “primary healthcare institutions—non-primary healthcare institutions—government” to analyze the evolutionary stable strategies among these entities in different scenarios. We implemented a simulation of evolutionary processes and conducted sensitivity analyses of government subsidies, punishments, and public supervision.
Results: Four evolutionarily stable strategies were identified: B4(0,0,1), B5(1,1,0), B6(1,0,1), and B7(0,1,1). The government gradually tended to be passive in emergency scenarios of the epidemic during the evolution process. Primary and non-primary healthcare institutions chose to participate in the coordinated response for epidemic prevention and control in transition scenarios. In addition, increased government subsidies and punishments resulted in the active participation of primary and non-primary healthcare institutions in the coordinated response for epidemic prevention and control. However, excessive subsidies and punishments led to lenient supervision when they exceeded a certain threshold. Meanwhile, the collaborative participation of non-primary healthcare institutions fluctuates in response to variations in government supervision. Under normal scenarios, public supervision had an obvious effect on driving primary healthcare institutions to participate in coordinated responses for epidemic prevention and control, thereby sharing the role of government supervision to a certain extent.
Conclusion: Government subsidies and punishments under a certain threshold effectively promoted the participation of primary and non-primary healthcare institutions in pandemic prevention and control. Additionally, participation in public supervision gradually increased with the gradual evolution of the pandemic. Therefore, our results suggested that the government should actively explore reasonable, dynamic thresholds for subsidies and punishments, promote public participation through diversified means, and explore diverse operation types of fever clinics to address the challenges of emerging infectious diseases in the future.

Keywords: fever clinics, public health emergency, coordination, evolutionary game model, simulation