Table 5. Results of hierarchical multilinear regression estimating the association between ICT usage in general practice and its predictors among responding GPs with their own practice (n = 99; 2017–2018) | Model | R2 change | β | Standard error | Critical value | Significance |
---|
1 | Age | 0.172 | -0.415 | 0.013 | -4.455 | 0.000 |
Sex | 0.026 | -0.161 | 0.336 | -1.685 | 0.096 |
City size | 0.006 | 0.080 | 0.105 | 0.812 | 0.419 |
Practice size | 0.138 | 0.372 | 0.000 | 4.064 | 0.000 |
Burnout | 0.003 | 0.055 | 0.050 | 0.603 | 0.548 |
| | 0.305 | |
F (5,86) | 7.556 | 0.000 |
2 | Age | 0.107 | -0.328 | 0.013 | -3.473 | 0.001 |
Sex | 0.008 | -0.090 | 0.328 | -0.970 | 0.335 |
City size | 0.006 | 0.079 | 0.100 | 0.841 | 0.403 |
Practice size | 0.052 | 0.227 | 0.000 | 2.357 | 0.021 |
Burnout | 0.000 | 0.021 | 0.047 | 0.243 | 0.809 |
Digital skills | 0.003 | -0.058 | 0.185 | -0.582 | 0.562 |
Digital devices | 0.010 | 0.099 | 0.158 | 1.014 | 0.314 |
eHealth readiness | 0.118 | 0.343 | 0.023 | 3.310 | 0.001 |
| 0.098 | |
F (3,83) | 4.568 | 0.005 |