Table 2 Descriptive statistics for input and output variables
From: Inefficiency of public hospitals: a multistage data envelopment analysis in an Italian region
2018 | ||||
| Â | Mean | SD | Min | Max |
Beds | 325.16 | 277.05 | 42.00 | 1406.00 |
Cost | 107,014,996.79 | 119,444,746.19 | 10,448,957.15 | 617,875,317.22 |
FTE Med | 192.46 | 187.27 | 18.73 | 941.73 |
FTE Nurse | 619.41 | 566.30 | 74.41 | 3035.33 |
FTE Admin | 62.45 | 95.96 | 5.00 | 466.56 |
FTE Tech | 130.35 | 130.11 | 23.93 | 638.94 |
Outpatient Visits | 1,383,219.35 | 1,062,499.45 | 92,484.00 | 4,145,336.00 |
Outpatient Revenue | 21,508,560.21 | 17,257,859.63 | 1,625,618.85 | 72,893,305.05 |
Inpatient Revenue | 47,875,980.98 | 54,576,627.38 | 3,802,075.90 | 263,781,278.03 |
N. Adj. Inpatients | 13,928.37 | 15,585.45 | 516.00 | 77,165.00 |
BOR | 0.74 | 0.10 | 0.48 | 0.98 |
Inappropriate Admission | 0.18 | 0.05 | 0.11 | 0.37 |
Mortality Rate | 0.04 | 0.02 | 0.00 | 0.11 |
2019 | ||||
| Â | Mean | SD | Min | Max |
Beds | 321.37 | 274.10 | 41.00 | 1′419.00 |
Cost | 10,670,768.18 | 119,394,427.57 | 9,178,451.50 | 604,145,722.02 |
FTE Med | 190.90 | 187.10 | 13.29 | 922.32 |
FTE Nurse | 625.85 | 575.68 | 73.46 | 3′069.67 |
FTE Admin | 60.07 | 91.20 | 3.00 | 454.88 |
FTE Tech | 127.95 | 126.44 | 7.44 | 610.28 |
Outpatient Visits | 1,465,891.81 | 1,157,508.15 | 119,419.00 | 4,361,706.00 |
Outpatient Revenue | 22,381′605.33 | 18,750,693.83 | 1,659,424.85 | 78,062,444.25 |
Inpatient Revenue | 48,210,495.56 | 55,787,635.72 | 2,995,648.77 | 272,635,414.59 |
N. Adj. Inpatients | 14,005.53 | 15,958.86 | 513.00 | 79,890.00 |
BOR | 0.75 | 0.10 | 0.50 | 0.99 |
Inappropriate Admission | 0.16 | 0.06 | 0.02 | 0.34 |
Mortality Rate | 0.05 | 0.02 | 0.00 | 0.12 |