Table 1.
Variable | Mean | SD | Min | Max |
---|---|---|---|---|
Operating margin | 0.0113 | 0.1081 | − 0.4321 | 0.3379 |
Total margin | 0.0513 | 0.0905 | − 0.2918 | 0.3523 |
Efficiency scorea | 0.8914 | 0.0536 | 0.4388 | 1.0000 |
Academic medical center | 0.1230 | 0.3286 | 0 | 1 |
Average length of stay | 4.7476 | 1.2313 | 1.7026 | 15.2356 |
Beds | 295.3789 | 239.0801 | 20 | 2654 |
Herfindahl–Hirschman Indexb,c | 0.3454 | 0.2376 | 0.0523 | 1 |
Medicaid expansion state | 0.6674 | 0.4713 | 0 | 1 |
Medicaid share of admissions | 0.1966 | 0.0924 | 0.0106 | 0.7457 |
Medicare share of admissions | 0.4792 | 0.0959 | 0.1296 | 0.7496 |
Occupancy rate | 0.6168 | 0.1432 | 0.1532 | 0.9853 |
System member | 0.8011 | 0.3994 | 0 | 1 |
Unemployment ratec | 5.2117 | 1.3343 | 2.2000 | 21.8000 |
aTo facilitate interpretation, we reverse coded (1-inefficiency score) cost-inefficiency. To provide a “truer” benchmark for the efficiency estimate, the SFA analysis included all (n = 1823) metropolitan, NFP and FP, general, acute care hospitals for which complete data were available
bBased on all competing hospitals (includes acute, general, local government hospitals but not federal hospitals) for which admissions data were available
cCounty-level variable