Table 3.
Predictors of responses.
| Responses | Univariate analysis | Multivariate analysis | |||||
|---|---|---|---|---|---|---|---|
| Yes (%) | No (%) | OR | p | OR (IC 95%) | p | ||
| Technical surgical skills | Overall | 1,336 (28) | 3,399 (72) | ||||
| Age | 0.157 | ||||||
| < 35 yo | 461 (30) | 1,080 (70) | |||||
| 35–50 yo | 504 (28) | 1,305 (72) | 0.918 (0.788–1.069) | 0.271 | |||
| >50 yo | 371 (27) | 1,014 (73) | 0.866 (0.735–1.020) | 0.086 | |||
| Professional category | 0.119 | ||||||
| Surgeons | 336 (30) | 793 (70) | |||||
| Other medical doctors | 106 (33) | 216 (67) | 1.103 (0.841–1.440) | 0.475 | |||
| Anesthesiologists | 50 (32) | 107 (68) | 1.040 (0.718–1.489) | 0.834 | |||
| Nurse anesthetists | 228 (29) | 566 (71) | 0.893 (0.722–1.104) | 0.297 | |||
| Surgical nurses | 187 (26) | 541 (74) | 0.753 (0.598–0.947) | 0.016 * | |||
| Other paramedical professions | 206 (26) | 576 (74) | 0.776 (0.621–0.967) | 0.024 * | |||
| Patients | 223 (27) | 600 (73) | 0.843 (0.685–1.036) | 0.105 | |||
| Sex | |||||||
| Female | 898 (28) | 2,259 (72) | |||||
| Male | 438 (28) | 1,140 (72) | 0.967 (0.845–1.106) | 0.62 | 0.883 (0.758–1.028) | 0.111 | |
| Non-technical skills | Overall | 1228 (26) | 3,507 (74) | ||||
| Age | 0.0001 *** | ||||||
| < 35 yo | 388 (25) | 1,153 (75) | |||||
| 35–50 yo | 527 (29) | 1,282 (71) | 1.041 (0.889–1.220) | 0.616 | |||
| >50 yo | 313 (23) | 1,072 (77) | 0.915 (0.768–1.090) | 0.321 | |||
| Professional category | < 0.0001 *** | ||||||
| Surgeons | 246 (22) | 883 (78) | |||||
| Other medical doctors | 50 (16) | 272 (84) | 0.670 (0.475–0.931) | 0.020 * | |||
| Anesthesiologists | 41 (26) | 116 (74) | 1.286 (0.864–1.882) | 0.204 | |||
| Nurse anesthetists | 272 (34) | 522 (66) | 1.901 (1.529–2.364) | < 0.0001 *** | |||
| Surgical nurses | 282 (39) | 446 (61) | 2.357 (1.875–2.967) | < 0.0001 *** | |||
| Other paramedical professions | 203 (42) | 279 (58) | 1.313 (1.040–1.658) | 0.022 * | |||
| Patients | 134 (16) | 689 (84) | 0.726 (0.571–0.921) | 0.009 ** | |||
| Sex | |||||||
| Female | 857 (27) | 2,300 (73) | |||||
| Male | 371 (24) | 1,207 (76) | 0.825 (0.717–0.950) | 0.007 ** | 1.105 (0.938–1.300) | 0.236 | |
| Human and moral qualities | Overall | 1609 (34) | 3,126 (66) | ||||
| Age | 0.436 | ||||||
| < 35 yo | 523 (34) | 1,018 (66) | |||||
| 35–50 yo | 598 (33) | 1,211 (67) | 1.032 (0.891–1.196) | 0.672 | |||
| >50 yo | 488 (35) | 897 (65) | 1.065 (0.912–1.245) | 0.426 | |||
| Professional category | < 0.0001 *** | ||||||
| Surgeons | 327 (29) | 802 (71) | |||||
| Other medical doctors | 120 (37) | 202 (63) | 1.459 (1.120–1.895) | 0.005 *** | |||
| Anesthesiologists | 52 (33) | 105 (67) | 1.210 (0.838–1.727) | 0.302 | |||
| Nurse anesthetists | 247 (31) | 547 (69) | 1.098 (0.890–1.354) | 0.382 | |||
| Surgical nurses | 205 (28) | 523 (72) | 0.946 (0.755–1.185) | 0.630 | |||
| Other paramedical professions | 310 (40) | 472 (60) | 1.592 (1.291–1.964) | < 0.0001 *** | |||
| Patients | 348 (42) | 475 (58) | 1.776 (1.462–2.160) | < 0.0001 *** | |||
| Sex | |||||||
| Female | 1,092 (35) | 2,065 (65) | |||||
| Male | 517 (33) | 1,061 (67) | 0.922 (0.811–1.047) | 0.211 | 0.968 (0.836–1.119) | 0.658 | |
| Knowledge | Overall | 562 (12) | 4,173 (88) | ||||
| Age | < 0.0001 *** | ||||||
| < 35 yo | 169 (11) | 1,372 (89) | |||||
| 35–50 yo | 180 (10) | 1,629 (90) | 1.016 (0.810–1.277) | 0.888 | |||
| >50 yo | 213 (15) | 1,172 (85) | 1.307 (1.047–1.633) | 0.018 * | |||
| Professional category | < 0.0001 *** | ||||||
| Surgeons | 220 (19) | 909 (81) | |||||
| Other medical doctors | 46 (14) | 276 (86) | 0.731 (0.510–1.029) | 0.079 | |||
| Anesthesiologists | 14 (9) | 143 (91) | 0.445 (0.240–0.764) | 0.006 ** | |||
| Nurse anesthetists | 47 (6) | 747 (94) | 0.290 (0.203–0.405) | < 0.0001 *** | |||
| Surgical nurses | 54 (7) | 674 (93) | 0.373 (0.264–0.521) | < 0.0001 *** | |||
| Other paramedical professions | 63 (8) | 719 (92) | 0.403 (0.291–0.553) | < 0.0001 *** | |||
| Patients | 118 (14) | 705 (86) | 0.713 (0.551–0.918) | 0.009 ** | |||
| Sex | |||||||
| Female | 310 (10) | 2,847 (90) | |||||
| Male | 252 (16) | 1,326 (84) | 1.746 (1.460–2.087) | < 0.0001 *** | 1.137 (0.925–1.396) | 0.222 | |
Results of univariate and multivariate analyses 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, and professional category. p < 0.05*, p < 0.01**, p < 0.001***. Yo, years old. Statistically significant results: *p < 0.05, **p < 0.01. Bold values are statistically significant values, with p < 0.05.