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Table 1 Study population baseline characteristics and involvement of medical specialties (n= 22133)

From: Clusters of medical specialties around patients with multimorbidity – employing fuzzy c-means clustering to explore multidisciplinary collaboration

 

Total (n=22133)

Sex (female), n (%)

12396 (56.0)

Age (in years), median (IQR)

67.9 (20.9)

Age categories (in years), n (%)

 18 - 55

5473 (24.7)

 56 - 65

4316 (19.5)

 66 - 75

6168 (27.9)

 75 +

6176 (27.9)

Number of diagnoses, n (%)

 2

5286 (23.9)

 3

5927 (26.8)

 4

4432 (20.0)

 5+

6488 (29.3)

Number of involved medical specialties, n (%)

 2

7061 (31.9)

 3

6982 (31.5)

 4

4274 (19.3)

 5+

3816 (17.2)

Medical specialties involved, n (%)

 Internal medicine

8071 (36.5)

 Cardiology

7467 (33.7)

 General surgery

6649 (30.0)

 Neurology

6266 (28.3)

 Pulmonology

5946 (26.9)

 Dermatology

5628 (25.4)

 Ophthalmology

5295 (23.9)

 Otorhinolaryngology

4588 (20.7)

 Orthopedic surgery

4423 (20.0)

 Urology

3332 (15.1)

 Gastroenterology

3083 (13.9)

 Rheumatology

2816 (12.7)

 Gynecology

2467 (11.2)

 Geriatrics

1772 (8.0)

 Plastic surgery

1763 (8.0)

 Anesthesiology

1455 (6.6)

 Dental surgery

1367 (6.2)

 Physiatry/ rehabilitation

1130 (5.1)

 Psychiatry

262 (1.2)

 Neurosurgery

154 (0.7)

 Pediatrics

23 (0.1)

 Radiology

10 (0.1)

Number of outpatient visits, median (IQR)

5.0 (4.0)

Number of ED visits, median (IQR)

0.0 (1.0)

Number of inpatient days, median (IQR)

0.0 (2.0)