| Literature DB >> 35545606 |
Kian Asanad1, David Nusbaum2, Gerhard Fuchs1, John C S Rodman3, Mary K Samplaski1.
Abstract
The objective of this study was to determine the impact of having male infertility on urology residents' infertility training experience, surgical confidence, and In-Service-Exam Infertility/Sexual Medicine subscores. We electronically surveyed urology residents throughout the United States querying exposure to infertility faculty and fertility knowledge. Univariable and multivariable analysis was performed to determine predictors of higher In-Service Exam Infertility/Sexual Medicine sub-scores and self-rated infertility competency. Fifty-four of 72 respondents (75%) reported that male infertility comprises ≤10% of their training. Of the 63 residents who have a reproductive urologist on faculty, 66.7%, 47.6%, and 49.2% have scrubbed/observed a microsurgical varicocelectomy, vasectomy reversal and testicular sperm extraction, respectively. Residents exposed to infertility faculty are more likely to self-rate their infertility understanding as "excellent" or "good" (p = 0.04 and p = 0.02, respectively), and 14.4× more likely to feel confident performing infertility procedures, versus residents lacking faculty (p < 0.001). Residents having formal microsurgical training have better self-rated infertility understanding (p < 0.001), non-obstructive azoospermia management (p = 0.01), and competency performing infertility procedures (p < 0.001). Residents exposed to fertility faculty are more likely to feel confident performing fertility procedures after residency (p = 0.001). In conclusion, infertility comprises a minority of residency training. Most residents anticipate performing infertility procedures in practice, despite two-thirds lacking confidence performing these. Having an infertility faculty and formal microsurgical training improves residents' surgical confidence, non-obstructive azoospermia management, and global male infertility understanding. A structured educational curriculum may improve resident infertility training.Entities:
Keywords: in-service exam; male infertility; microsurgery; resident education; urology resident
Mesh:
Year: 2022 PMID: 35545606 PMCID: PMC9540376 DOI: 10.1111/and.14457
Source DB: PubMed Journal: Andrologia ISSN: 0303-4569 Impact factor: 2.532
Urology resident reported variables affected by presence or absence of a reproductive urologist (RU) on faculty
| Variable |
| RU on faculty |
| |
|---|---|---|---|---|
| No ( | Yes ( | |||
| Understand the difference between PESA and TESE? | 0.71 | |||
| No | 26 | 4 (44.4%) | 22 (34.5%) | |
| Yes | 46 | 5 (55.6%) | 41 (65.1%) | |
| Understand the difference between TESE and MicroTESE? | 0.26 | |||
| No | 25 | 5 (55.6%) | 20 (31.7%) | |
| Yes | 47 | 4 (44.4%) | 43 (68.3%) | |
| Exam Sub‐score for infertility | 36 | 58% (3, 83) | 66% (15, 100) | 0.45 |
| Understanding of male infertility | 0.04* | |||
| Awful | 6 | 2 (22.2%) | 4 (6.3%) | |
| Poor | 13 | 4 (44.4%) | 9 (14.3%) | |
| Fair | 33 | 3 (33.3%) | 30 (47.6%) | |
| Good | 16 | 0 | 16 (25.4%) | |
| Excellent | 4 | 0 | 4 (6.3%) | |
| Knowledge in management of NOA | 0.55 | |||
| Awful | 6 | 1 (11.1%) | 5 (7.9%) | |
| Poor | 12 | 3 (33.3%) | 9 (14.3%) | |
| Fair | 33 | 4 (44.4%) | 29 (46.0%) | |
| Good | 17 | 1 (11.1%) | 16 (25.4%) | |
| Excellent | 4 | 0 | 4 (6.3%) | |
| Effect exogenous testosterone has on sperm production | 0.64 | |||
| Decrease counts (correct) | 64 | 9 (100%) | 55 (87.3%) | |
| No change (incorrect) | 7 | 0 | 7 (11.1%) | |
| Increase counts (incorrect) | 1 | 0 | 1 (1.6%) | |
| Feel confident to do procedures after residency training? | 0.001* | |||
| No | 23 | 8 (88.9%) | 15 (23.8%) | |
| Somewhat | 23 | 1 (11.1%) | 22 (34.9%) | |
| Yes | 23 | 0 | 23 (36.5%) | |
Note: Numbers represent frequency (column percentage) and Median (IQR), (min, max) unless otherwise noted. *Significant at p = 0.05 level.
36 participants were missing Exam Sub‐score.
Association between formal microsurgical training and self‐reported male infertility knowledge and procedural competence
| Variable |
| Any prior microsurgical training |
| |
|---|---|---|---|---|
| No ( | Yes ( | |||
| Knowledge in management of NOA | 0.01* | |||
| Awful | 6 | 5 (16.1%) | 1 (2.4%) | |
| Poor | 12 | 6 (19.4%) | 6 (14.6%) | |
| Fair | 33 | 17 (54.8%) | 16 (39.0%) | |
| Good | 17 | 3 (9.7%) | 14 (34.1%) | |
| Excellent | 4 | 0 | 4 (9.8%) | |
| Global understanding of male infertility | <0.001* | |||
| Awful | 6 | 5 (16.1%) | 1 (2.4%) | |
| Poor | 13 | 8 (25.8%) | 5 (12.2%) | |
| Fair | 33 | 17 (54.8%) | 16 (39.0%) | |
| Good | 16 | 1 (3.2%) | 15 (36.6%) | |
| Excellent | 4 | 0 | 4 (9.8%) | |
| Feel competent to do infertility procedures after residency training? | <0.001* | |||
| No | 23 | 19 (61.3%) | 4 (9.8%) | |
| Somewhat | 23 | 8 (25.8%) | 15 (36.6%) | |
| Yes | 23 | 3 (9.7%) | 20 (48.8%) | |
| Exam sub‐scores for infertility | 36 | 75% (15, 85) | 66% (3, 100) | 0.78 |
| Understand the difference between PESA and TESE? | 0.004* | |||
| No | 26 | 17 (54.8%) | 9 (22.0%) | |
| Yes | 46 | 14 (45.2%) | 32 (78.0%) | |
| Understand the difference between TESE and MicroTESE? | <0.001* | |||
| No | 25 | 18 (58.1%) | 7 (17.1%) | |
| Yes | 47 | 13 (41.9%) | 34 (82.9%) | |
| Effect exogenous testosterone has on sperm production | 0.82 | |||
| Decrease counts (correct) | 64 | 27 (87.1%) | 37 (90.2%) | |
| No change (incorrect) | 7 | 4 (12.9%) | 3 (7.3%) | |
| Increase counts (incorrect) | 1 | 0 | 1 (2.4%) | |
Note: Numbers represent frequency (column per cent) and Median (IQR), (min, max) unless otherwise noted. *Significant at p = 0.05 level.
36 participants were missing exam sub‐score.
Multivariable linear regression with 2019 in‐service exam infertility/sexual medicine sub‐scores as outcome
| Variable |
| Estimate | 95% confidence interval |
|
|---|---|---|---|---|
| RU on faculty in program | ||||
| No | 9 | Reference | Reference | |
| Yes | 63 | 14.96 | (−8.25–38.18) | 0.196 |
| Per cent of training is in male infertility | ||||
| 0%–10% | 54 | Reference | Reference | |
| 11%–20% | 18 | −11.01 | (−26.08–4.06) | 0.145 |
| Self‐rated knowledge in management of NOA | ||||
| Awful | 6 | Reference | Reference | |
| Poor | 12 | 45.25 | (4.85–85.65) | 0.030* |
| Fair | 33 | 40.80 | (4.60–76.99) | 0.029* |
| Good | 17 | 49.16 | (14.65–83.67) | 0.007* |
| Excellent | 4 | 65.79 | (34.19–97.38) | <0.001* |
| Global understanding of male infertility | ||||
| Awful | 6 | Reference | Reference | |
| Poor | 13 | −20.99 | (−54.60–12.61) | 0.210 |
| Fair | 33 | −9.15 | (−40.71–22.41) | 0.556 |
| Good | 16 | −0.62 | (−28.97–27.73) | 0.965 |
| Excellent | 4 | NA | NA | NA |
Note: *Significant at p = 0.05 level.