Table 4.
Predictors of responses for surgeons.
| Responses | Univariate analysis | Multivariate analysis | |||||
|---|---|---|---|---|---|---|---|
| Yes (%) | No (%) | OR | p | OR (IC 95%) | p | ||
| Technical surgical skills | Overall | 336 (30) | 793 (70) | ||||
| Age | 0.0008 *** | ||||||
| < 35 yo | 125 (36) | 220 (64) | |||||
| 35–50 yo | 109 (30) | 247 (70) | 0.765 (0.552–1.058) | 0.106 | |||
| >50 yo | 102 (24) | 326 (76) | 0.560 (0.400–0.781) | 0.0007 *** | |||
| Sector of activity | |||||||
| Public | 233 (30) | 548 (70) | |||||
| Private | 103 (30) | 245 (70) | 0.989 (0.751–1.299) | 0.936 | 1.171 (0.871–1.570) | 0.293 | |
| Sex | |||||||
| Female | 125 (34) | 241 (66) | |||||
| Male | 211 (28) | 552 (72) | 0.737 (0.564–0.961) | 0.025 * | 0.825 (0.622–1.096) | 0.183 | |
| Non-technical skills | Overall | 246 (22) | 873 (78) | ||||
| Age | 0.651 | ||||||
| < 35 yo | 81 (23) | 264 (77) | |||||
| 35–50 yo | 74 (21) | 282 (79) | 0.919 (0.636–1.327) | 0.653 | |||
| >50 yo | 91 (21) | 337 (79) | 0.922 (0.641–1.326) | 0.659 | |||
| Sector of activity | |||||||
| Public | 185 (24) | 596 (76) | |||||
| Private | 61 (18) | 287 (82) | 0.685 (0.493–0.944) | 0.021 * | 0.676 (0.481–0.942) | 0.023 * | |
| Sex | |||||||
| Female | 76 (21) | 290 (79) | |||||
| Male | 170 (22) | 593 (78) | 1.094 (0.807–1.479) | 0.564 | 1.197 (0.870–1.657) | 0.274 | |
| Human and moral qualities | Overall | 327 (29) | 802 (71) | ||||
| Age | 0.031 * | ||||||
| < 35 yo | 83 (24) | 262 (76) | |||||
| 35–50 yo | 104 (29) | 252 (71) | 1.287 (0.911–1.821) | 0.153 | |||
| >50 yo | 140 (33) | 288 (67) | 1.518 (1.083–2.137) | 0.016 * | |||
| Sector of activity | |||||||
| Public | 219 (28) | 562 (72) | |||||
| Private | 108 (31) | 240 (69) | 1.155 (0.880–1.516) | 0.306 | 1.055 (0.789–1.407) | 0.714 | |
| Sex | |||||||
| Female | 101 (28) | 265 (72) | |||||
| Male | 226 (30) | 537 (70) | 1.104 (0.840–1.457) | 0.483 | 0.961 (0.737–1.324) | 0.926 | |
| Knowledge | Overall | 220 (19) | 909 (81) | ||||
| Age | 0.115 | ||||||
| < 35 yo | 56 (16) | 289 (84) | |||||
| 35–50 yo | 69 (19) | 287 (81) | 1.185 (0.795–1.772) | 0.405 | |||
| >50 yo | 95 (22) | 333 (78) | 1.380 (0.938–2.045) | 0.105 | |||
| Sector of activity | |||||||
| Public | 144 (18) | 637 (82) | |||||
| Private | 76 (22) | 272 (78) | 1.236 (0.902–1.683) | 0.183 | 1.135 (0.817–1.571) | 0.446 | |
| Sex | |||||||
| Female | 64 (17) | 302 (83) | |||||
| Male | 156 (20) | 607 (80) | 1.213 (0.877–1.682) | 0.240 | 1.092 (0.781–1.540) | 0.610 | |
Results of univariate and multivariate analysis in the surgeon's group for the four main themes: human and moral characteristics, technical surgical skills, non-technical skills, and medical knowledge. The following variables were analyzed: age, sex, main activity.
p < 0.05*, p < 0.01**, p < 0.001***. Yo, years old. Bold values are statistically significant values, with p < 0.05.