Table 4 Estimation of the efficiency of the DEA model average for whole analysed period (2008–2015) according different models
From: Healthcare efficiency assessment using DEA analysis in the Slovak Republic
| Â | m1 | m2 | m3 | m4 | m5 | m6 | m7 | m8 |
|---|---|---|---|---|---|---|---|---|
Bratislava | 0.5635 | 0.9618 | 0.5635 | 0.9618 | 0.5764 | 0.9618 | 0.5635 | 0.9618 |
Trnava | 0.9929 | 0.9955 | 0.9947 | 0.9974 | 0.9983 | 1.0000 | 0.9954 | 0.9967 |
Trencin | 0.9898 | 0.9922 | 0.9904 | 1.0000 | 0.9973 | 0.9982 | 0.9974 | 0.9986 |
Nitra | 0.9427 | 0.9983 | 0.9430 | 0.9983 | 0.9713 | 0.9986 | 0.9653 | 0.9985 |
Zilina | 0.6963 | 0.9325 | 0.6971 | 0.9436 | 0.6991 | 0.9325 | 0.6963 | 0.9325 |
Banska Bystrica | 0.8545 | 0.9501 | 0.8563 | 0.9534 | 0.8546 | 0.9501 | 0.8558 | 0.9501 |
Presov | 0.6651 | 0.9137 | 0.6661 | 0.9137 | 0.6716 | 0.9137 | 0.6728 | 0.9137 |
Kosice | 0.5262 | 0.9553 | 0.5303 | 0.9605 | 0.6653 | 0.9557 | 0.5622 | 0.9553 |
Average | 0.7789 | 0.9624 | 0.7802 | 0.9661 | 0.8042 | 0.9638 | 0.7886 | 0.9634 |