TY - JOUR
T1 - Risk equalization in competitive health insurance markets: Identifying healthy individuals on the basis of multiple-year low spending
AU - Eijkenaar, Frank
AU - van Vliet, Rene
AU - van Kleef, Richard
PY - 2018/10/16
Y1 - 2018/10/16
N2 - Abstract
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.
AB - Abstract
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.
U2 - 10.1111/1475-6773.13065
DO - 10.1111/1475-6773.13065
M3 - Article
C2 - 30328096
SN - 0017-9124
JO - Health Services Research
JF - Health Services Research
ER -