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Differentiation copayment design to improve the multi-tiered healthcare system in China

机译:差异共付额设计可改善中国的多层医疗体系

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摘要

The Chinese healthcare system is a tiered system comprising hospitals at different levels. With limited resource, the system is expected to function well if care of various types can be delivered at appropriate tiers. However, without clear regulation, many patients visit upper-level comprehensive hospitals even for simple services while more ill patients may encounter denial of care there. On the other hand, lower-level community hospitals are often underutilized for the same reason. By the investigation in this paper, we found that the medical reimbursement policy affects patient's medical-care-seeking behavior to some extent. To guide patients to select the hospital reasonably, alleviate the congestion in the upper-level hospitals and improve the utilization of the lower-level hospitals, the differentiation copayment design between upper-and lower-level hospitals is proposed. From the perspective of China's macro-health environment, we conducted a systematic analysis of the system. We first analyzed the impact of the copayment on the patients' behavior of first-visit and reverse referral respectively. We then developed a queuing network model to capture various types of patient flows, and applied the BCMP theory to derive analytical results on queuing performance measures of hospitals at both levels. Finally, we combined the analyses and built an optimization model to design the final optimal copayment. Through this work, we expect to provide insights into the medical insurance policy to guide the government to manage the healthcare system effectively.
机译:中国的医疗体系是一个由不同级别的医院组成的分层体系。在资源有限的情况下,如果可以在适当的级别上交付各种类型的护理,则该系统有望正常运行。但是,如果没有明确的规定,许多患者甚至需要简单的服务也要去上层综合性医院,而病情较重的患者可能会在那儿遭到拒绝护理。另一方面,出于相同的原因,下级社区医院经常未被充分利用。通过本文的调查,我们发现医疗报销政策在一定程度上影响了患者的就医行为。为了指导患者合理选择医院,减轻上级医院的拥堵,提高下级医院的利用率,提出了上,下级医院差异化共付设计。从中国宏观卫生环境的角度,我们对该系统进行了系统的分析。我们首先分析了共付额分别对患者初诊和反向转诊行为的影响。然后,我们建立了一个排队网络模型来捕获各种类型的患者流量,并应用BCMP理论来得出两个级别的医院排队绩效指标的分析结果。最后,我们结合分析并建立了优化模型,以设计最终的最佳共付额。通过这项工作,我们希望提供有关医疗保险政策的见解,以指导政府有效地管理医疗保健系统。

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