Related Experiment Video
Updated: Jul 9, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Risk Adjustment in Health Insurance Markets: Do Not Overlook the "Real" Healthy
Richard C van Kleef1, René C J A van Vliet, Michel Oskam
1Erasmus School of Health Policy & Management, and The Erasmus Centre for Health Economics Rotterdam, Erasmus University, Rotterdam, The Netherlands.
Objectives:
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.
Background:
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.
Methods:
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).
Results:
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).
Conclusions:
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."
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Relative Risk
Regression Toward the Mean
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Hazard Rate