Table 3. Ordinary least square regression–“naïve model”.
Catastrophic effects of health care costs | ||||||
---|---|---|---|---|---|---|
B | SE | B | SE | B | SE | |
Diagnosed diabetes within the eligible respondents | 0.037* | 0.004 | ||||
Diagnosed cardio-vascular disease within the eligible respondents | 0.043* | 0.020 | ||||
Diagnosed cancer within the eligible respondents | 0.003* | 0.006 | ||||
Gender | 0.004** | 0.002 | 0.006** | 0.002 | 0.003 | 0.002 |
Age | 0.001* | 0.000 | 0.001* | 0.000 | 0.001* | 0.000 |
Years of education | -0.001* | 0.000 | -0.001** | 0.000 | -0.001* | 0.000 |
Household size | -0.003* | 0.001 | -0.003** | 0.001 | -0.003** | 0.001 |
Number of children (age < 18 years) | 0.004* | 0.001 | 0.003* | 0.001 | 0.004* | 0.001 |
Household expenditure percentiles | -0.007 | 0.001 | -0.007* | 0.001 | -0.007 | 0.001 |
Austria | 0.012** | 0.007 | 0.001 | 0.007 | 0.011 | 0.007 |
Belgium | 0.025* | 0.006 | 0.022* | 0.006 | 0.025 | 0.006 |
Czech Republic | 0.428* | 0.006 | 0.428* | 0.006 | 0.431 | 0.006 |
Denmark | 0.106* | 0.008 | 0.106* | 0.008 | 0.105 | 0.008 |
France | 0.000 | 0.006 | -0.001 | 0.006 | 0.000 | 0.106 |
Germany | 0.004 | 0.009 | 0.006 | 0.009 | 0.006 | 0.009 |
Hungary | 0.678* | 0.008 | 0.673* | 0.008 | 0.680 | 0.008 |
Italy | 0.031* | 0.007 | 0.033* | 0.007 | 0.032 | 0.007 |
Poland | 0.433* | 0.009 | 0.431* | 0.009 | 0.434 | 0.009 |
Portugal | 0.155* | 0.008 | 0.156* | 0.008 | 0.157 | 0.008 |
Slovenia | -0.008 | 0.008 | -0.019 | 0.007 | -0.008 | 0.008 |
Spain | 0.001 | 0.007 | 0.003 | 0.007 | 0.002 | 0.007 |
Sweden | 0.007 | 0.008 | 0.006 | 0.008 | 0.008 | 0.008 |
Switzerland | 0.023* | 0.007 | 0.024* | 0.007 | 0.021 | 0.007 |
Constant | -0.019** | 0.012 | -0.016 | 0.012 | -0.015 | 0.012 |
Statistically significant,
* p<0.01,
** p<0.05
Catastrophic health expenditures refer to the case when out-of-pocket payments exceed a certain threshold share of either total or non-food expenditure of households.