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High cost pool or high cost groups-How to handle high(est) cost cases in a risk adjustment mechanism?

机译:高成本池或高成本组-如何在风险调整机制中处理高成本案例?

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Competitive social health insurance systems (at least) in Western Europe have implemented systems of morbidity based risk adjustment to set a level playing field for insurers. However, many high cost insured still are heavily underfunded despite risk adjustment, leaving incentives for risk selection. In most of these health care systems, there is an ongoing debate about how to deal with such underpaid high cost cases. This study develops four distinct concepts by adding variables to risk adjustment or by setting up a high cost pool for underpaid insured besides the risk adjustment system. Their features, incentives and distributional effects are discussed. With a data set of 6 million insured, performance is demonstrated for Germany. All models achieve a substantial improvement in model fit, measured in terms of R-2 as well as CPM. As the results of the various models are different in different dimensions, the trade-offs that have to be dealt with and should be addressed, when implementing a model to reduce underfunding of high cost cases. (c) 2016 Published by Elsevier Ireland Ltd.
机译:至少在西欧,具有竞争力的社会健康保险系统已经实施了基于发病率的风险调整系统,从而为保险公司设置了公平的竞争环境。但是,尽管进行了风险调整,但许多高成本的被保险人仍然资金严重不足,这为风险选择提供了动力。在大多数此类医疗保健系统中,关于如何处理此类报酬低廉的高成本案件的争论一直在进行。这项研究通过在风险调整中添加变量或通过为风险调整系统之外的欠付保险人建立高成本池来开发四个截然不同的概念。讨论了它们的特征,诱因和分配效应。拥有600万被保险人的数据集,证明了德国的表现。所有模型均以R-2和CPM衡量,大大提高了模型拟合度。由于各种模型的结果在不同维度上是不同的,因此在实施模型以减少高成本案例的资金不足时必须权衡并应解决的权衡问题。 (c)2016由爱思唯尔爱尔兰有限公司出版。

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