Table 3. Results of bivariate correlation coefficients among responding Czech GPs (n = 153; 2017–2018).
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
---|---|---|---|---|---|---|---|---|---|---|
1. Age | – | -0.023 | 0.924a | 0.053 | 0.003 | -0.306a | -0.310 | 0.036 | -0.229a | 0.052 |
2. City size | 0.220b | – | -0.045 | -0.131 | 0.010 | -0.095 | -0.061 | -0.033 | 0.029 | 0.154 |
3. Years of practice | 0.905a | -0.045 | – | 0.069 | -0.008 | -0.320a | -0.291a | 0.122 | -0.206b | 0.019 |
4. Practice size | 0.053 | -0.131 | 0.069 | – | NA | NA | NA | NA | NA | NA |
5. Burnout | 0.122 | -0.023 | 0.097 | -0.023 | – | 0.051 | 0.042 | -0.006 | 0.005 | -0.071 |
6. eHealth readiness | -0.256b | -0.198 | -0.300a | 0.342a | 0.079 | – | 0.428a | 0.263a | 0.406a | -0.176b |
7. ICT skill | -0.278a | -0.129 | -0.260a | 0.225 | -0.076 | 0.418a | – | 0.373b | 0.155 | -0.092 |
8. Number of owned ICT devices | -0.030 | 0.010 | -0.049 | 0.343a | 0.038 | 0.326a | 0.360a | – | 0.189b | 0.017 |
9. ICT usage in general practice | -0.370a | -0.105 | -0.358a | 0.342a | -0.028 | 0.522a | 0.257b | 0.290a | – | -0.048 |
10. Interest in mHealth usage | -0.036 | 0.191 | -0.005 | -0.208b | -0.184 | -0.165 | -0.064 | -0.031 | -0.092 | – |
a P<0.01. b P<0.05. Correlations above the diagonal refer to associations in the entire sample. Correlations below the diagonal refer to associations observed in GPs who own their practice.