Table 3.
AuROC and optimal model cut-off to predict an assessed workload of 4.5
| Model | AuROC (95% CI) | Cut-off* | Sensitivity | Specificity |
|---|---|---|---|---|
| mSEAL | 0.91 (0.86–0.95) | 4.8 | 0.87 | 0.78 |
| sICMED | 0.82 (0.50–0.99) | 2 | 1.0 | 0.34 |
| NEDOCS | 0.97 (0.92–0.99) | 90 | 0.93 | 0.93 |
| Occupancy rate | 0.90 (0.85–0.95) | 1.2 | 0.87 | 0.82 |
ED Emergency Department
mSEAL modified Skåne Emergency Department Assessment of Patient Load
sICMED short International Crowding Measure in Emergency Departments
NEDOCS National Emergency Department Overcrowding Score
AuROC Area under the Receiver Operating Curve
* Based on Youden index