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. 2019 Mar 14;14(3):e0213840. doi: 10.1371/journal.pone.0213840

Table 1. Characteristics of the study sample categorised according to specialty.

Staff characteristics Overall, n (%) Nursing Staff, n (%) Medical Staff, n (%) Support Staff, n (%) P value
Gender N = 164 N = 77 N = 47 N = 40
    Male 71 (43.3) 12 (15.6) 38 (80.9) 21 (52.5) <0.001
    Female 93 (56.7) 65 (84.4) 9 (19.1) 19 (47.5)
Age, years N = 161 N = 74 N = 47 N = 40
    18 to 34 46 (28.6) 34 (45.9) 9 (19.1) 3 (7.5) <0.001
    35 to 49 65 (40.4) 27 (36.5) 24 (51.1) 14 (35.0)
    ≥50 50 (31.1) 13 (17.6) 14 (29.8) 23 (57.5)
Robotic Knowledge N = 152 N = 74 N = 41 N = 37
    None 81 (53.3) 43 (58.1) 12 (29.3) 26 (70.3) 0.001
    Some/advanced 71 (46.7) 31 (41.9) 29 (70.7) 11 (29.7)
Robotic Skill N = 159 N = 75 N = 47 N = 37
    None 135 (84.9) 71 (94.7) 36 (76.6) 28 (75.7) 0.005
    Some/Advanced 24 (15.1) 4 (5.3) 11 (23.4) 9 (24.3)

Medical staff: included consultant surgeon, consultant anaesthetist, fellow, surgical registrar, anaesthetics registrar, resident and intern. Support staff: included radiographer, operations assistant, administrative officer and theatre technician.