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首页> 外文期刊>Health services research: HSR >Risk equalization in competitive health insurance markets: Identifying healthy individuals on the basis of multiple‐year low spending
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Risk equalization in competitive health insurance markets: Identifying healthy individuals on the basis of multiple‐year low spending

机译:竞争健康保险市场的风险均衡:在多年低支出的基础上识别健康人员

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摘要

Objective To study the extent to which risk equalization (RE) in competitive health insurance markets can be improved by including an indicator for being healthy. Study Setting/Data Sources This study is conducted in the context of the Dutch individual health insurance market. Administrative data on spending and risk characteristics (2011‐2014) for the entire population (N?=?16.6?m) as well as health survey data from a large sample (N?=?387?k) are used. Study Design The indicator for being healthy is low spending in three consecutive prior years. “Low spending” is defined in three ways: belonging to the bottom 60%, 70%, or 80% of the annual spending distribution. Versions of the Dutch RE model 2017 with and without the indicator are compared on individual‐level payment fit and, using the survey data, group‐level payment fit. Principal Findings All three alternative models outperform the Dutch RE model 2017. However, significant unpriced risk heterogeneity remains. Compared with the 60% threshold, the 80% threshold comes with a larger improvement in fit but identifies a less selective group. Conclusions The performance of the RE model can be improved by adding an indicator for being healthy based on multiple‐year low spending. However, risk‐selection potential remains, warranting high priority to further improvement of RE.
机译:目的探讨竞争性健康保险市场风险均衡(RE)的程度,可以通过包括健康的指标来改善。研究设定/数据来源本研究在荷兰个人健康保险市场的背景下进行。关于整个人口的支出和风险特征(2011-2014)的管理数据(N?=?16.6?M)以及来自大样本的健康调查数据(N?= 387 k)。学习设计健康的指标是在连续三年连续三年的消费。 “低支出”是以三种方式定义的:属于底部60%,70%,或80%的年度支出分配。荷兰人RE模型2017年的版本与没有指标进行比较,并使用调查数据,集团级别支付适合进行比较。主要调查结果所有三种替代模型优于2017年荷兰人Re模型。然而,仍然存在显着的无价值的风险异质性。与60%阈值相比,80%的阈值具有更大的装配改善,但鉴定了较少的选择性组。结论通过基于多年低支出的指示,可以通过添加指标来改善RE模型的性能。然而,风险选择潜力仍然是,需要高度优先进一步改善RE。

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