选择基于结果的报销政策:我们是否应该担心合谋?

Choosing Outcomes-Based Reimbursement Policies: Should We Worry About Collusion?

Management Science · 2026
被引 0 · 同刊同年前 10%
人大 A+FT50UTD24ABS 4*

中文导读

研究了不同基于结果的报销政策(如按人头付费、按服务付费)是否容易引发非法合谋,发现关键取决于转诊医生的收入是否与工作量挂钩,并通过糖尿病数据验证了理论模型。

Abstract

Outcomes-based reimbursement rewards health providers with better health outcomes with higher payments. Such reimbursement policies require several design choices, including the type of contract (e.g., capitation or fee-for-service), measure (e.g., population- or provider-level outcomes), and whether to contract with individual providers or larger groups. We explore which outcomes-based reimbursement policies may be vulnerable to potentially illegal collusion, and whether collusion issues can be averted through incentive design. We present a game-theoretic model a chronic care pathway in a two-tier healthcare system. We identify differences in the impact of collusion on health, costs, and system efficiency under different reimbursement policies. Theoretical and numerical results (calibrated to data from two pathways for diabetes) show that whether an outcomes-adjusted reimbursement system is vulnerable to collusion depends critically on one trait: whether the income of physicians who receive referrals scales with volume. In systems where it does, as with fee-for-service models in the United States, there exist financial incentives to collude, underlining the importance of addressing collusion through laws. Systems that lack this trait (e.g., the UK NHS) are more resistant to collusion. Exploring theoretically optimal contracts, we find evidence of strong performance of outcomes-adjusted capitation contracts with individual providers using population-level data. This paper was accepted by Terry Taylor, operations management. Funding: S. E. Chick acknowledges research support through the Novartis Chair for Healthcare Management. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2021.02283 .

按绩效付费共谋风险激励机制设计医疗支付政策