Diverting less urgent utilizers of emergency medical services to primary care: is it feasible? Patient and morbidity characteristics from a cross-sectional multicenter study of self-referring respiratory emergency department consulters

Table 2 Logistic regression model for EMS vs. non-EMS transport as dependent variable (n = 268 complete cases)

Independent variable	Coefficient B	Standard error	p value	Odds ratio	OR 95% CI lower bound	OR 95% CI upper bound
Age	0.04	0.01	< 0.001	1.04	1.02	1.06
Sex Reference: female	0.08	0.34	0.82	1.08	0.55	2.12
Migration and travel Reference: no related feature
Migrant first generation	− 0.97	0.45	0.03	0.38	0.16	0.91
Second generation	− 0.22	0.74	0.76	0.80	0.19	3.40
Tourist	− 0.83	0.76	0.28	0.44	0.10	1.95
Triage category Reference: lower urgency	0.43	0.37	0.24	1.54	0.75	3.18
Out-of-hours visit	0.90	0.40	0.02	2.45	1.12	5.34
Chronic pulmonary condition	1.51	0.38	< 0.001	4.53	2.15	9.55
Respiratory failure diagnosis	1.02	0.43	0.02	2.77	1.18	6.47
Consultation motive “access”	− 1.13	0.40	0.00	0.32	0.15	0.70
Consultation motive “quality”	− 1.21	0.52	0.02	0.30	0.11	0.82

Model performance metrics (for model containing all above variables): AUC 0.87; Nagelkerke R² 0.50; Hosmer–Lemeshow test χ² = 5.142, df = 8, p = 0.742

ISSN: 1756-0500