| Literature DB >> 26885389 |
Emad Mikhail1, Lauren Scott1, Branko Miladinovic2, Anthony N Imudia1, Stuart Hart1.
Abstract
Study Objective. To compare surgical volume and techniques including laparoscopic suturing among members of the American Association of Gynecologic Laparoscopists (AAGL) according to fellowship training status. Design. A web-based survey was designed using Qualtrics and sent to AAGL members. Results. Minimally invasive gynecologic surgery (FMIGS) trained surgeons were more likely to perform more than 8 major conventional laparoscopic cases per month (63% versus 38%, P < 0.001, OR [95% CI] = 2.78 [1.54-5.06]) and were more likely to perform laparoscopic suturing during these cases (32% versus 16%, P < 0.004, OR [95% CI] = 2.44 [1.25-4.71]). The non-fellowship trained (NFT) surgeons in private practice were less likely to perform over 8 conventional laparoscopic cases (34% versus 51%, P = 0.03, OR [95% CI] = 0.50 [0.25-0.99]) and laparoscopic suturing during these cases (13% versus 27%, P = 0.01, OR [95% CI] = 0.39 [0.17-0.92]) compared to NFT surgeons in academic practice. Conclusion. The surgical volume and utilization of laparoscopic suturing of FMIGS trained surgeons are significantly increased compared to NFT surgeons. Academic practice setting had a positive impact on surgical volume of NFT surgeons but not on FMIGS trained surgeons.Entities:
Year: 2016 PMID: 26885389 PMCID: PMC4739463 DOI: 10.1155/2016/5459147
Source DB: PubMed Journal: Minim Invasive Surg ISSN: 2090-1445
Demographics of study participants.
| Non-fellowship trained | FMIGS | Gynecologic Oncology | FMPRS | REI |
| |
|---|---|---|---|---|---|---|
|
|
|
|
|
| ||
| Male | 171 (78%) | 41 (55%) | 10 (77%) | 5 (56%) | 14 (100%) | <0.001 |
| Female | 48 (22%) | 33 (45%) | 3 (23%) | 4 (44%) | 0 (0%) | |
| Age | ||||||
| 25–34 | 9 (4%) | 11 (15%) | 0 (0%) | 0 (0%) | 0 (0%) | <0.001 |
| 35–44 | 49 (22%) | 37 (50%) | 3 (13%) | 4 (40%) | 3 (21%) | |
| 45–55 | 65 (30%) | 19 (26%) | 6 (46%) | 3 (30%) | 2 (14%) | |
| >55 | 96 (44%) | 7 (10%) | 4 (31%) | 3 (30%) | 9 (65%) | |
| Geographical location | ||||||
| US | 146 (68%) | 38 (52%) | 6 (50%) | 6 (60%) | 7 (54%) | 0.10 |
| International | 69 (32%) | 35 (48%) | 6 (50%) | 4 (40%) | 6 (46%) | |
| Practice type | ||||||
| Academic practice | 54 (25%) | 33 (45%) | 9 (69%) | 5 (50%) | 5 (36%) | <0.001 |
| Private practice | 165 (75%) | 41 (55%) | 4 (31%) | 5 (50%) | 9 (64%) |
Training background for study participants.
| Non-fellowship trained (219) | FMIGS trained |
| |
|---|---|---|---|
| Residency training | |||
| University | 117 (54%) | 53 (72%) | 0.011 |
| Community-university affiliated | 58 (27%) | 16 (22%) | |
| Community | 41 (19%) | 5 (6%) | |
| Residency program size | |||
| 1–5 | 130 (61%) | 33 (45%) | 0.07 |
| 6–10 | 59 (27%) | 28 (38%) | |
| >10 | 25 (12%) | 12 (7%) | |
| Attended laparoscopic suturing training courses | |||
| Yes | 169 (78%) | 64 (87%) | 0.13 |
| No | 49 (22%) | 10 (13%) |
Case volume of study participants.
| Non-fellowship trained | FMIGS trained |
| OR (95% CI) | |
|---|---|---|---|---|
| Major gynecologic conventional laparoscopic surgical cases/month | ||||
| >8 | 81 (38%) | 45 (63%) | <0.001 | 2.78 (1.54–5.06) |
| Monthly cases with conventional laparoscopic suturing | ||||
| >8 | 34 (16%) | 23 (32%) | 0.004 | 2.44 (1.25–4.71) |
Case volume of non-fellowship trained participants according to practice setting.
| Non-fellowship trained |
| OR (95% CI) | ||
|---|---|---|---|---|
| Academic practice | Private practice | |||
| Major gynecologic conventional laparoscopic surgical cases/month | ||||
| >8 | 26 (51%) | 55 (34%) | 0.03 | 0.50 (0.25, 0.99) |
| Monthly cases with conventional laparoscopic suturing | ||||
| >8 | 14 (27%) | 20 (13%) | 0.01 | 0.39 (0.17, 0.92) |
|
| ||||
| FMIGS trained |
| OR (95% CI) | ||
| Academic practice | Private practice | |||
|
| ||||
| Major gynecologic conventional laparoscopic surgical cases/month | ||||
| >8 | 23 (72%) | 22 (56%) | 0.18 | 0.51 (0.16, 1.52) |
| Monthly cases with conventional laparoscopic suturing | ||||
| >8 | 8 (24%) | 15 (38%) | 0.2 | 1.95 (0.63, 6.31) |