van Kleef Richard C, van Vliet René C J A, Oskam Michel
Erasmus School of Health Policy & Management, and The Erasmus Centre for Health Economics Rotterdam, Erasmus University, Rotterdam, The Netherlands.
Med Care. 2024 Nov 1;62(11):767-772. doi: 10.1097/MLR.0000000000001955. Epub 2023 Dec 4.
The goals of this paper are: (1) to identify groups of healthy people; and (2) to quantify the extent to which the Dutch risk adjustment (RA) model overpays insurers for these groups.
There have been strong signals that insurers in the Dutch regulated health insurance market engage in actions to attract healthy people. A potential explanation for this behavior is that the Dutch RA model overpays insurers for healthy people.
We identify healthy groups using 3 types of ex-ante information (ie, information available before the start of the health insurance contract): administrative data on prior spending for specific health care services (N = 17 m), diagnoses from electronic patient records (N = 1.3 m), and health survey data (N = 457 k). In a second step, we calculate the under/overpayment for these groups under the Dutch RA model (version: 2021).
We distinguish eight groups of healthy people using various "identifiers." Although the Dutch RA model substantially reduces the predictable profits that insurers face for these groups, significant profits remain. The mean per person overpayment ranges from 38 euros (people with hospital spending below the third quartile in each of 3 prior years) to 167 euros (those without any medical condition according to their electronic patient record).
The Dutch RA model does not eliminate the profitability of healthy groups. The identifiers used for flagging these groups, however, seem inappropriate for serving as risk adjuster variables. An alternative way of exploiting these identifiers and eliminating the profitability of healthy groups is to estimate RA models with "constrained regression."
本文的目标是:(1)识别健康人群组;(2)量化荷兰风险调整(RA)模型针对这些人群组向保险公司多支付的程度。
有强烈迹象表明,荷兰受监管的健康保险市场中的保险公司采取行动吸引健康人群。对此行为的一种潜在解释是,荷兰RA模型针对健康人群向保险公司多支付了费用。
我们使用3种事前信息(即健康保险合同开始前可得的信息)来识别健康人群组:特定医疗服务既往支出的行政数据(N = 1700万)、电子病历诊断信息(N = 130万)以及健康调查数据(N = 45.7万)。第二步,我们计算这些人群组在荷兰RA模型(版本:2021)下的少付/多付金额。
我们使用各种“标识符”区分出八组健康人群。尽管荷兰RA模型大幅降低了保险公司针对这些人群组面临的可预测利润,但仍有可观利润留存。人均多付金额从38欧元(在之前3年中每年医院支出低于第三四分位数的人群)到167欧元(根据其电子病历无任何疾病的人群)不等。
荷兰RA模型并未消除健康人群组的盈利性。然而,用于标记这些人群组的标识符似乎不适宜用作风险调整变量。利用这些标识符并消除健康人群组盈利性的另一种方法是采用“约束回归”估计RA模型。