2022
DOI: 10.3389/fpubh.2022.825328
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Towards an Integrated Healthcare System: Evolutionary Game Analysis on Competition and Cooperation Between Urban and Rural Medical Institutions in China

Abstract: BackgroundThe game of interest is the root cause of the non-cooperative competition between urban and rural medical and health institutions. The study investigates competition and cooperation among urban and rural medical institutions using the evolutionary game analysis.MethodsWith the evolutionary game model, analysis of the stable evolutionary strategies between the urban and rural medical and health facilities is carried out. A numerical simulation is performed to demonstrate the influence of various value… Show more

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Cited by 11 publications
(10 citation statements)
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“…In line with previous studies, the current study confirmed that the effectiveness of managing public health emergencies inevitably involves coordination and cooperation between parties, although the strategic choices of participants are greatly influenced by other participants [9,24,25]. Inter-organizational collaboration can facilitate the establishment of effective methods of coordination and communication among different groups of participants [24].…”
Section: Discussionsupporting
confidence: 90%
“…In line with previous studies, the current study confirmed that the effectiveness of managing public health emergencies inevitably involves coordination and cooperation between parties, although the strategic choices of participants are greatly influenced by other participants [9,24,25]. Inter-organizational collaboration can facilitate the establishment of effective methods of coordination and communication among different groups of participants [24].…”
Section: Discussionsupporting
confidence: 90%
“…Although these data are not actual scenarios, they have some reference significance for theoretical studies, and the values of these set parameters can be used to further analyze the game process presented by the lead hospital and primary healthcare institutions under the influence of different game factors. The values of the simulation parameters were determined by referring to the related literature [32][33][34], where the healthcare problem has been studied using a similar approach. The simulation parameter values were set as follows: I = 26, U = 5, Sl = 14, Tp = 12, R = 3, Sp = 2, D = 25, v = 0.5, π = 0.5, ε = 0.5, and ξ = 0.5.…”
Section: Numerical Simulation Analysis Of the Two-subject Stochastic ...mentioning
confidence: 99%
“…Furthermore, the role of the government sector in promoting integrated healthcare needs to be explored. An evolutionary game approach is highly appropriate for systematically exploring interorganizational interactions and has been applied to different topics in the healthcare field, such as healthcare PPP projects [30], public health emergencies [31], cooperation between urban and rural medical institutions [32], online health communities [33], hierarchical diagnosis and treatment systems [34], and so on. The system dynamics approach also works well in solving complex dynamic problems [35,36] and can be used in conjunction with evolutionary game methods.…”
Section: Introductionmentioning
confidence: 99%
“…Cross-institutional information resource sharing often involves many stakeholders, and it could gradually approach the evolutionary stable state after repeated games. Some studies have tried to use the evolutionary game method to perform relevant research in the medical and health field, such as studying doctor-patient disputes under government regulation [ 6 ], evolutionary game of a 2-way referral mechanism [ 7 ], emergency management of public emergencies [ 8 ], knowledge sharing in online health communities [ 9 ], drug safety and public health quality supervision [ 10 , 11 ], and integrated health care systems [ 12 ]. Some studies also use evolutionary game and simulation methods to explore the willingness of medical data sharing, but these only consider the 2 parties of patients and medical service institutions [ 13 ], and fail to consider the willingness and influence mechanism of cross-agency data sharing of the government and other multiparties under the organization mode of the medical consortium.…”
Section: Introductionmentioning
confidence: 99%