Table 5.
Explanatory variables for the variation in use of Index
| |
Univariate linear regression |
Multiple linear regression |
||||
|---|---|---|---|---|---|---|
| Estimate | (95% CI) | P-value | Estimate | (95% CI) | P-value | |
| Working experience |
-0.011 |
(-0.018, -0.003) |
0.004 |
-0.012 |
(-0.019, -0.004) |
0.002 |
| Rotation |
|
|
|
|
|
|
| With ground ambulance |
-0.218 |
(-0.360, -0.076) |
0.003 |
-0.213 |
(-0.348, -0.078) |
0.002 |
| With emergency room |
0.054 |
(-0.057, 0.165) |
0.337 |
0.033 |
(-0.074, 0.139) |
0.545 |
| With others |
-0.093 |
(-0.283, 0.098) |
0.339 |
-0.046 |
(-0.229, 0.137) |
0.621 |
| Repetition of use of Index |
|
|
|
|
|
|
| Regularly |
0.214 |
(0.074, 0.354) |
0.003 |
0.062 |
(-0.080, 0.205) |
0.390 |
| Irregularly |
0.090 |
(-0.023, 0.203) |
0.118 |
-0.002 |
(-0.116, 0.111) |
0.969 |
| Focus on use of Index |
|
|
|
|
|
|
| Clear focus |
0.522 |
(0.312, 0.732) |
<0.001 |
0.459 |
(0.240, 0.679) |
<0.001 |
| Some focus | 0.293 | (0.073, 0.512) | 0.009 | 0.207 | (-0.013, 0.426) | 0.065 |
Exploration of possible explanations for the variation in use of Index, by univariate and multiple linear regression models.
Working experience = effect per year. P-value < 0.05 was regarded as statistically significant. Explained variation, R2 = 0.234 for the multiple linear regression model.