The impact of medical insurance payment systems on patient choice, provider behavior, and out-of-pocket rate: Fee-for-service versus diagnosis-related groups
Wenjuan Fan, Yuanyuan Jiang, Jun Pei, Ping Yan, Liangfei Qiu
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引用次数: 0
Abstract
The medical insurance payment system (MIPS) is a key mechanism to ensure the public's access to medical services. In a game-theoretic model, we examine the impact of two MIPSs, fee-for-service (FFS) and diagnosis-related groups (DRG), on patient choices, provider behavior, and out-of-pocket rate. We find that neither FFS nor DRG can dominate the other in all three aspects: social welfare, provider profit, and total patient surplus. In particular, under DRG, the out-of-pocket rate for patients is lower, and the total patient surplus is higher than that under FFS. However, patients with lower illness severity tend to not participate in DRG, while FFS can make all patients participate in the program. Furthermore, when the marginal cost of medical services is high, the profit of the provider and social welfare under DRG is higher than those under FFS, otherwise lower. After interviewing hospital leaders, we further investigate two extended (pilot) payment systems: DRG with two price groups, and the hybrid model incorporating both FFS and DRG. We find that both models contribute to improving provider behavior, making more patients choose the provider, but are still not perfect payment systems due to lower provider profit or social welfare. Our findings offer important insights for policymakers regarding implementing medical insurance reform in practice.
期刊介绍:
Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.