Table 6 Results for Self-Assessed Health and Burnout models—reduced models
From: Burnout and health status differences among primary healthcare professionals in Portugal
| Â | Â | SAH-model | Burnout-model | ||
|---|---|---|---|---|---|
| Â | Â | ordered probit | tobit regression | ||
|  |  | Coef | P > z | Coef | P > z |
Geographic | urban | 0.009 | 0.828 | 0.055 | 0.936 |
rural | -0.135 | 0.139 | 1.352 | 0.363 | |
NOR | 0.083 | 0.222 | 0.112 | 0.919 | |
CEN | 0.013 | 0.862 | -2.417 | 0.042 | |
LTV | 0.020 | 0.782 | 2.018 | 0.083 | |
ALE | 0.000 | 0.996 | -2.724 | 0.049 | |
Unit type | USF-A | 0.148 | 0.001 | 6.408 | 0.000 |
USF-B | 0.262 | 0.000 | 2.321 | 0.000 | |
UCSP | -0.050 | 0.229 | 5.334 | 0.000 | |
_cons | Â | Â | Â | 36.962 | 0.000 |
Nb of obs | Â | 5989 | 6070 | ||
LR chi2(18) | Â | 102.98 | 150.45 | ||
Prob > chi2 |  | 0.0000 | 0.0000 | ||
Pseudo R2 | Â | 0.0080 | 0.0029 | ||
Log likelihood | Â | -6422.7937 | -26,106.38 | ||