Table 4 Results from multivariate regressions, expressed as beta coefficients for linear regression
Independent variables | Dependent variables | ||
|---|---|---|---|
Number of benefits Regression (1) | Willingness to enrol in future projects Regression (2) | Type of personalization: all or most on-line contacts Regression (3) | |
Gender: male | 0.15 (-0.218, 0.518) | 1.169 (0.580, 2.448) | 1.274 (0.755, 2.164) |
Age < 40 | 0.261 (-0.193, 0.714) | 1.419 (0.696, 2.920) | 0.750 (0.379, 1.469) |
Foreign citizenship | -0.276 (-1.112, 0.560) | 2.407 (0.427, 45.460) | 0.853 (0.273, 2.616) |
Low education | 0.267 (-0.536, 1.070) | 0.825 (0.274, 2.688) | 1.161 (0.327, 4.102) |
Residence in Lombardy | 0.196 (-0.526, 0.919) | 1.600 (0.392, 11.008) | 2.226 (0.789, 7.291) |
Worker | 0.155 (-0.265, 0.575) | 2.990** (1.361, 6.671) | 1.517 (0.836, 2.764) |
Living alone | -0.153 (-0.574, 0.267) | 0.799 (0.387, 1.728) | 0.623 (0.339, 1.140) |
Good ICT skills | 0.609** (0.234, 0.984) | 1.974* (1.010, 3.896) | 1.447 (0.853, 2.458) |
Diagnosis from more than 5 years | 0.170 (-0.173, 0.513) | 2.051* (1.102, 3.882) | 1.441 (0.886, 2.355) |
High frequency of visits in hospital | 0.070 (-0.279, 0.420) | 1.115 (0.592, 2.160) | 0.947 (0.575, 1.563) |
User (vs. no user) | -0.722*** (-1.133, -0.311) | 3.064* (1.137, 10.719) | 2.722** (1.514, 5.067) |