Table 4 The impact of different factors on the inefficiency score of hospitals using Tobit regression
From: Can integrated care improve the efficiency of hospitals? Research based on 200 Hospitals in China
| Â | Model 1 | Model 2 | ||||||
|---|---|---|---|---|---|---|---|---|
Estimate (Std.Error) | t-value | Pr( >|t|) | 95%CI | Estimate (Std.Error) | t-value | Pr( >|t|) | 95%CI | |
Intercept | 0.218 (0.145) | 1.499 | 0.134 | [− 0.067, 0.502] | 0.485 (0.153) | 3.174 | 0.002** | [0.186, 0.785] |
IC1 | − 0.592 (0.215) | − 2.756 | 0.006** | [− 1.012, − 0.171] | − 0.538 (0.159) | − 3.390 | 0.001*** | [− 0.848, − 0.227] |
RMA |  |  |  |  | − 19.490 (12.388) | − 1.573 | 0.116 | [− 43.769, 4.790] |
WHC |  |  |  |  | − 0.337 (0.162) | − 2.087 | 0.037* | [− 0.654, − 0.020] |
TNS |  |  |  |  | − 0.054 (0.018) | − 3.065 | 0.002** | [− 0.088, − 0.019] |
NAPP |  |  |  |  | − 0.169 (0.056) | − 3.026 | 0.003** | [− 0.278, − 0.060] |
ROPA |  |  |  |  | 0.003 (0.004) | 0.744 | 0.457 | [− 0.005, 0.010] |
NAPN | Â | Â | Â | Â | 0.354 (0.097) | 3.658 | 0.000*** | [0.165, 0.544] |
Variance of model | − 0.47329 (0.1699) | − 2.783 | 0.005** | [− 0.806, − 0.140] | − 0.935 (0.162) | − 5.764 | 0.000 *** | [− 1.252, − 0.617] |