Table 4.
The predictors of the hospital efficiency
| Variable | CRS | VRS | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Estimate | Std. Error | z value | Pr( >|z|) | Variable | Estimate | Std. Error | z value | Pr( >|z|) | |||
| Intercept | -10.918 | 2.773 | -3.937 | 0.000 | *** | Intercept | -19.610 | 2.288 | -8.569 | 0.000 | *** |
| Pop | 0.033 | 0.017 | 1.966 | 0.049 | * | Kidp | 95.825 | 11.625 | 8.243 | 0.000 | *** |
| Oldp | -5.941 | 4.934 | -1.204 | 0.229 | M_reve | 0.056 | 0.032 | 1.760 | 0.078 | ||
| Kidp | 26.782 | 11.899 | 2.251 | 0.024 | * | Reemerg | -45.954 | 17.378 | -2.644 | 0.008 | ** |
| Assets | -0.003 | 0.003 | -0.841 | 0.401 | NPR | 0.638 | 0.265 | 2.407 | 0.016 | * | |
| M_reve | 0.064 | 0.030 | 2.091 | 0.037 | * | Occu | 7.133 | 1.017 | 7.016 | 0.000 | *** |
| CMI | 1.688 | 0.849 | 1.989 | 0.047 | * | SelfPay | -0.046 | 0.007 | -6.784 | 0.000 | *** |
| Occu | 8.472 | 1.277 | 6.635 | 0.000 | *** | Mgain | -9.382 | 3.894 | -2.409 | 0.016 | * |
| SelfPay | -0.009 | 0.017 | -0.524 | 0.601 | 2016 | 0.455 | 0.192 | 2.373 | 0.018 | * | |
| Public hospital | 0.056 | 0.288 | 0.195 | 0.845 | 2017 | 0.983 | 0.219 | 4.497 | 0.000 | *** | |
| Foundation | 1.178 | 0.279 | 4.227 | 0.000 | *** | 2018 | 1.266 | 0.229 | 5.529 | 0.000 | *** |
| Religious hospital | 1.054 | 0.345 | 3.051 | 0.002 | ** | Public hospital | -1.125 | 0.250 | -4.505 | 0.000 | *** |
| Foundation | 1.000 | 0.249 | 4.021 | 0.000 | *** | ||||||
| Religious hospital | -0.232 | 0.254 | -0.911 | 0.362 | |||||||
* < 0.05; ** < 0.001; *** < 0.000
a(E1)Pop: Population in 1000,000; (E2)Oldp: ratio of population aged above 65; (E3)Kip: ratio of population aged below 14; (E4)Assets: assets; (E5)M_reve: medical surplus or deficit of appropriation in 100 million NTD; (E7)Reemerg: three-day re-emergence rate; (E9)CMI: case-mix index; (E10)NPR: nurse-patient ratio; (E11)Occu: bed occupancy rate; (E12)SelfPay: patient self-pay revenues in 100 million NTD; (E13) Mgain: medical profit margin rate'