Table 4.

Prediction model accuracy (validation set)

	High-risk prediction		Low-risk prediction
	Prediction model	Swedish index for medical priority dispatch	Prediction model	Swedish index for medical priority dispatch
Number of variables in model	11	–	10	–
Cut-off, %	10	–	90	–
Sensitivity, %	89	77	10	1
Specificity, %	51	38	97	99
Positive predictive value, %	27	20	89	64
Negative predictive value, %	96	89	33	32
AUROC	0.789	–	0.737	–
Highest priority dispatch, n (%)	488 (56)	563 (65)	–	–
Lowest priority dispatch, n (%)	–	–	64 (7)	11 (1)
Patients with high-risk condition given lowest priority, n (%)			3 (5)	3 (27)

AUROC area under receiver operating characteristic curve

Calculations based on validation set with 868 EMS missions