Table 4 Multiple regression analysis predicting electrocardiogram interpretation competency
Variables | B | S. E | Beta | t | Sig |
|---|---|---|---|---|---|
(Constant) | 5.153 | 1.436 | 3.588 | P < 0.0001 | |
Age | 0.504 | 0.280 | 0.166 | 1.797 | 0.073 |
Gender | −0.042 | 0.242 | −0.009 | −0.176 | 0.861 |
Educational Level | 0.554 | 0.182 | 0.221 | 3.043 | 0.003 |
Job Title | −0.115 | 0.106 | −0.078 | −1.086 | 0.279 |
Experience | −0.085 | 0.041 | −0.195 | −2.082 | 0.038 |
Has taken an ECG course? | −0.335 | 0.268 | −0.071 | −1.250 | 0.212 |
Last training time Years | 0.123 | 0.070 | 0.096 | 1.766 | 0.078 |
Type of training | −0.198 | 0.212 | −0.048 | − 0.930 | 0.353 |
Task EKG | −0.042 | 0.248 | −0.009 | −0.170 | 0.865 |
Self-assessment of EKG interpretation competency | 0.586 | 0.170 | 0.197 | 3.443 | 0.001 |
Experience in CCU | −0.443 | 0.336 | −0.079 | −1.316 | 0.189 |
How Many EKG Record in Shift | −0.061 | 0.060 | −0.059 | −1.020 | 0.309 |
Type of Hospital | −0.458 | 0.186 | −0.134 | −2.455 | 0.015 |