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

机译:差异化共同设计改进中国多层医疗保健系统

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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:中国的医疗保健系统是包括在不同级别医院的分层系统。利用有限的资源,该系统有望功能好,如果照顾各种类型的可以在适当的层次传递。然而,如果没有明确的规定,许多患者甚至参观了简单的服务上一级综合性医院,而更多的重症患者可能会遇到的护理否认存在。在另一方面,较低级别的社区医院往往没有得到充分利用出于同样的原因。通过本文的研究,我们发现,报销政策影响患者的医疗保健寻求行为在一定程度上。指导患者合理选择医院,缓解上级医院的拥挤和提高下级医院的利用率,建议上和下级医院之间的差异共付额设计。从中国的宏观卫生环境的角度出发,我们进行了系统的系统分析。我们首先分析了共同支付的对患者的首诊和转诊相反的行为的影响分别。然后,我们开发了一个排队网络模型来捕捉不同类型的病人流向,并应用了BCMP理论推导分析结果在这两个级别排队医院的绩效指标。最后,我们结合了分析,并建立了一个优化模型,设计了最终的最佳的部分负担。通过这项工作,我们希望提供深入了解医疗保险政策引导,政府有效地管理医疗体系。

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