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. 2016 Feb 2;18(2):167–180. doi: 10.1007/s10198-016-0764-7

Table 2.

Average under- and overcompensation per person in year t for selected groups based on information from year t − 1, using the Dutch risk equalization formula-2014

Selected groups based on information from year t − 1 Estimated percentage of population Undercompensation (−) in year t Predictive ratio* in year t Reduction of undercompensation compared with no risk equalization
Worst score physical health (SF-12) 18.9 % −€670 0.85 –75 %
Contact with a medical specialist in the last 12 months 37.8 % −€326 0.90 –75 %
Use of physiotherapy in the last 12 months 21.8 % −€328 0.89 –71 %
At least one chronic condition 31.5 % −€331 0.90 –80 %
Selected groups based on information from year t − 1 Estimated percentage of population Overcompensation (+) in year t Predictive ratio* in year t Reduction of overcompensation compared with no risk equalization
No chronic condition 68.5 % +€152 1.16 –66 %
Best score physical health (SF-12) 19.2 % +€291 1.31 –71 %
No health care utilization in the last 12 months 19.5 % +€298 1.51 –75 %
Highest education levels 22.8 % +€142 1.10 –61 %

Because the Dutch government requires a community rating per health plan, for each selected group the average under- and overcompensation per person has been calculated as the average residual expenses per person. All presented under- and overcompensations are statistically significant at the 0.01 level, except for “highest education levels”, which are statistically significant at the 0.05 level

The Dutch risk equalization model of 2014 is based on the following risk characteristics, which over time have been added successively: age interacted with gender (1993), region (1995), source of income interacted with age (1999), pharmacy-based cost groups (2002), diagnoses-based cost groups (2004), socioeconomic status interacted with age (2008), multiple-year high costs (2012), yes/no student, and prior use of durable-medical-equipment (2014)

* The predictive ratio equals the ratio of the average predicted expenses and the average actual expenses of the individuals in the selected group