Table 1. Sociodemographic characterization of the sample.
Female | Male | Total | |
---|---|---|---|
Position | |||
Specialists | 186 (25.07) | 149 (20.08) | 335 (45.15) |
General_practitioner | 70 (9.43) | 37 (4.99) | 107 (14.42) |
Resident | 15 (2.02) | 6 (0.81) | 21 (2.83) |
Nurse | 63 (8.49) | 16 (2.16) | 79 (10.65) |
Other_professional | 75 (10.11) | 20 (2.69) | 95 (12.80) |
Technician | 73 (9.84) | 13 (1.75) | 86 (11.59) |
Student | 12 (1.62) | 7 (0.94) | 19 (2.56) |
Total | 494 (66.58) | 248 (33.42) | 742 (100) |
Service area | |||
ER | 96 (15.84) | 53 (8.75) | 149 (24.59) |
ICU | 56 (9.24) | 44 (7.26) | 100 (16.50) |
Inpatient_unit | 110 (18.15) | 48 (7.92) | 158 (26.07) |
Outpatient_unit | 134 (22.11) | 42 (6.93) | 176 (29.04) |
Private_practice | 4 (0.66) | 10 (1.65) | 14 (2.31) |
Telehealth | 4 (0.66) | 5 (0.83) | 9 (1.49) |
Total | 404 (66.66) | 202 (33.34) | 606 (100) |
Hospital type | |||
Private | 312 (41.8) | 158 (21.2) | 470 (63) |
Public | 182 (24.4) | 94 (12.6) | 276 (37) |
Total | 494 (66.2) | 252 (33.8) | 746 (100) |
The table shows the number and percentage (in parenthesis) of participants by Service area, Position, and Hospital type grouped by gender. The difference in the total n is due to lost data from sociodemographic information.