Table 3. Multiple logistic regression analysis between the dependent variable (≥3 specialties) and the number of appointments, type of medical specialty, hospitalizations, intensive care unit admissions, and deaths.

	OR	95%CI	p-value
Number of appointments/patient
1-3	0.02	0.18-0.3	<0.001
4-12	6.3	5.7-7.0	<0.001
≥13	9.2	8.0-10.5	<0.001
Type of medical specialty
Cardiology	5.3	4.5-6.1	<0.001
Endocrinology	2.8	2.6-3.1	<0.001
Gastroenterology	5,9	5.2-6.8	<0.001
Genetics	4.2	3.7-4.7	<0.001
Hematology	2.8	2.4-3.4	<0.001
Hematopoietic cell Transplantation	5.2	3.7-7.3	<0.001
Hepatology	4.5	4.0-5.1	<0.001
Immunology and allergy	2.7	2.3-3.1	<0.001
Infectious disease	7.0	6.4-7.8	<0.001
Nephrology and renal Transplantation	4.5	4.0-5.0	<0.001
Neurology	3.6	3.1-4.1	<0.001
Nutrology	6.9	5.6-8.4	<0.001
Oncology	1.0	0.9-1.2	0.92
Orthopedics	-	-	-
Palliative and pain care	7.4	5.7-9.7	<0.001
Pediatric surgery and liver transplantation	2.3	2.1-2.7	<0.001
Pulmonology	4.4	3.9-5.0	<0.001
Psychiatry	8.0	6.0-10.7	<0.001
Rheumatology	2.4	2.0-2.9	<0.001
Others	-	-	-
Day hospital clinic visits	4.8	3.8-5.9	<0.001
Emergency department visits	3.2	2.9-3.5	<0.001
≤2	1.9	1.7-2.1	<0.001
3-6	3.4	2.9-3.9	<0.001
≥7	7.1	5.5-9.2	<0.001
Hospitalizations	3.0	2.7-3.3	<0.001
1	1.7	1.5-1.9	<0.001
2	2.0	1.6-2.5	<0.001
≥3	4.9	4.2-5.7	<0.001
Intensive care unit admissions	2.5	2.1-3.0	<0.001
1	2.4	1.9-2.9	<0.001
≥2	2.7	2.0-3.8	<0.001
Deaths	2.8	1.9-4.0	<0.001

OR: Odds Ratio; 95%CI: confidence interval of 95%.