Service competition in two-tier healthcare markets with heterogeneous patients balking

Recently, public and private providers within two-tier healthcare markets have engaged in a fierce competition for patients, which is significantly influenced by patients' multifaceted sensitivities to delays and payments, particularly when patients' potential balking is considered. However, existing literature studying the two-tier healthcare market often presupposes patients as homogeneous or one-dimensionally heterogeneous, and neglects their balking behavior. In stark contrast, this paper delves into the combined effects of patients’ delay- and payment-sensitive heterogeneities, alongside their joining or balking decisions, on the service competition dynamics within the two-tier healthcare market. Leveraging a game-theoretic framework, we initially derive subgame equilibria, both inclusive and exclusive of patient balking, uncovering that patient balking can lead to a subgame perfect Nash equilibrium in the presence of two-dimensional patient heterogeneity. Intriguingly, our findings further suggest that the non-profit public provider may, counterintuitively, curtail its service capacity despite budgetary adequacy, contradicting the conventional assumption that such providers would fully allocate funds towards patient care. Ultimately, from a patient welfare standpoint, we find heightened payment heterogeneity discrimination proves detrimental to patients, whereas increased differentiation in delay heterogeneity benefits them. This revelation underscores a pressing social issue inherent in the two-tier healthcare market model: It has the potential to exacerbate healthcare disparities rooted in economic inequalities within the population.

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Publication Details

Journal
Journal of Management Science and Engineering
Published
2024-09-14
DOI
https://doi.org/10.1016/j.jmse.2024.07.001
Citations
1
Primary Topic
Healthcare Policy and Management
Type
article
Field-Weighted Citation Impact
1.13

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article

Service competition in two-tier healthcare markets with heterogeneous patients balking

Yinlian Zeng, Ruiqing Zhao, Yanfei Lan, Yuanbing Miao et al.
1 citations
Journal of Management Science and Engineering
Healthcare Policy and Management
1.13
article

Service competition in two-tier healthcare markets with heterogeneous patients balking

Yinlian Zeng, Ruiqing Zhao, Yanfei Lan, Yuanbing Miao, Xiaoqing Cai
article en
1 citations

Abstract

Recently, public and private providers within two-tier healthcare markets have engaged in a fierce competition for patients, which is significantly influenced by patients' multifaceted sensitivities to delays and payments, particularly when patients' potential balking is considered. However, existing literature studying the two-tier healthcare market often presupposes patients as homogeneous or one-dimensionally heterogeneous, and neglects their balking behavior. In stark contrast, this paper delves into the combined effects of patients’ delay- and payment-sensitive heterogeneities, alongside their joining or balking decisions, on the service competition dynamics within the two-tier healthcare market. Leveraging a game-theoretic framework, we initially derive subgame equilibria, both inclusive and exclusive of patient balking, uncovering that patient balking can lead to a subgame perfect Nash equilibrium in the presence of two-dimensional patient heterogeneity. Intriguingly, our findings further suggest that the non-profit public provider may, counterintuitively, curtail its service capacity despite budgetary adequacy, contradicting the conventional assumption that such providers would fully allocate funds towards patient care. Ultimately, from a patient welfare standpoint, we find heightened payment heterogeneity discrimination proves detrimental to patients, whereas increased differentiation in delay heterogeneity benefits them. This revelation underscores a pressing social issue inherent in the two-tier healthcare market model: It has the potential to exacerbate healthcare disparities rooted in economic inequalities within the population.

Journal of Management Science and EngineeringVol. 10(1)
Tianjin University (CN), Shenzhen Research Institute of Big Data (CN), Chinese University of Hong Kong, Shenzhen (CN), Shenzhen Technology University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Healthcare Policy and Management
1.13
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