The effect of time on quality of care decision communication using linear regression in the before and after groups
| Variable | B | 95% CI for B | β | t | P value |
| Before interventions | |||||
| Constant | 3.344 | (2.205, 4.483) | 5.803 | <0.001 | |
| Time | 0.014 | (−0.019, 0.046) | 0.069 | 0.833 | 0.406 |
| After interventions | |||||
| Constant | 5.111 | (3.018, 7.205) | 4.817 | <0.001 | |
| Time | −0.006 | (−0.035, 0.023) | −0.029 | −0.391 | 0.696 |
Dependent variable: Quality of care decision communication. Linear regression model. The regression equation before interventions: predicted quality of care deicion communication = 3.344 + 0.014 * Time, and after interventions: predicted quality of care deicion communication = 5.111 - 0.006 * Time.
Time is the number of days after the first training (so value is negative in the before group and positive in the after group).
B, unstandardized coefficients (values for predicting the dependent variable from the undependent variable); 95% CI for B, 95% confidence interval for unstandardized coefficients; p-value, 2 tailed p-value; t, t-value; β, standardized coefficients.