Table 4. Multiple linear regression results with overall satisfaction as the dependent variable and the individual conditions and demographic characteristics of the patients as independent variables.
| Non-standardized coefficients | Standardized coefficients | |||||
|---|---|---|---|---|---|---|
| t | p | |||||
| B | Std. Error | Beta | ||||
| 1 | (Constant) | 4.220 | .538 | 7.850 | .000 | |
| Physician | .642 | .121 | .597 | 5.316 | .000 | |
| 2 | (Constant) | 4.800 | .508 | 9.456 | .000 | |
| Physician | .470 | .118 | .437 | 3.982 | .000 | |
| Nurses | .297 | .081 | .402 | 3.658 | .001 | |
| 3 | (Constant) | 6.058 | .646 | 9.374 | .000 | |
| Physician | .455 | .111 | .423 | 4.117 | .000 | |
| Nurses | .331 | .077 | .447 | 4.303 | .000 | |
| Appointment | .316 | .110 | .273 | 2.868 | .006 | |
| 4 | (Constant) | 7.076 | .633 | 11.180 | .000 | |
| Physician | .445 | .098 | .414 | 4.539 | .000 | |
| Nurses | .265 | .070 | .358 | 3.771 | .000 | |
| Appointment | .445 | .103 | .385 | 4.304 | .000 | |
| How would you describe your state of health | .227 | .060 | .352 | 3.786 | .000 | |