Table 5.
Statistical analysis of respondents’ answers to the question “Do you think the increased use of smartphones in clinical routine will be productive in the future?”a
|
|
B | SE | Wald (df) | P | Exp(B) |
| Medical qualification | –0.06 | 0.56 | 0.01 (1) | .92 | 0.94 |
| Age | –0.00 | 0.05 | 0.00 (1) | .96 | 1.00 |
| App costsb | 0.71 | 0.30 | 5.67 (1) | .02 | 2.03 |
| App offer | –1.30 | 0.87 | 2.24 (1) | .13 | 0.27 |
| Clinical smartphone usageb | 5.01 | 1.73 | 8.37 (1) | .004 | 150.30 |
| Clinical app usage | –0.52 | 1.49 | 0.12 (1) | .73 | 0.59 |
| Constant | –0.91 | 2.74 | 0.11 (1) | .74 | 0.40 |
aχ24=60.4; P<.001. The model explains 67.0% (Nagelkerke R2) of the variance and correctly classifies 95.2% of the cases.
bValues are significant for app costs and clinical smartphone usage at P<.02 and P<.004, respectively.