Erasmus University Rotterdam, The Netherlands.
Med Care Res Rev. 2022 Dec;79(6):819-833. doi: 10.1177/10775587221099731. Epub 2022 Jun 8.
Existing risk-equalization models in individual health insurance markets with premium-rate restrictions do not completely compensate insurers for predictable profits/losses, confronting insurers with risk selection incentives. To guide further improvement of risk-equalization models, it is important to obtain insight into the drivers of remaining predictable profits/losses. This article studies a specific potential driver: end-of-life spending (defined here as spending in the last 1-5 years of life). Using administrative ( = 16.9 m) and health survey ( = 384 k) data from the Netherlands, we examine the extent to which end-of-life spending contributes to predictable profits/losses for selective groups. We do so by simulating the predictable profits/losses for these groups with and without end-of-life spending while correcting for the overall spending difference between these two situations. Our main finding is that-even under a sophisticated risk-equalization model-end-of-life spending can contribute to predictable losses for specific chronic conditions.
现行的个人医疗保险市场中存在保费费率限制的风险均衡模型并不能完全弥补保险公司可预见的损失/收益,这使保险公司面临风险选择激励。为了进一步完善风险均衡模型,了解可预见的损失/收益的驱动因素非常重要。本文研究了一个特定的潜在驱动因素:临终支出(这里定义为生命最后 1-5 年的支出)。利用荷兰的行政(=1690 万)和健康调查(=38.4 万)数据,我们考察了临终支出在多大程度上导致了选择性群体的可预见的损失/收益。我们通过在纠正这两种情况下总支出差异的同时,模拟这些群体有和没有临终支出时的可预见的损失/收益来做到这一点。我们的主要发现是,即使在一个复杂的风险均衡模型下,临终支出也可能导致特定慢性病的可预见损失。