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Laparoscopic training on bench models: better and more cost effective than operating room experience?1
Abstract
BACKGROUND: Developing technical skill is essential to surgical training, but using the operating room for basic skill acquisition may be inefficient and expensive, especially for laparoscopic operations. This study determines if laparoscopic skills training using simulated tasks on a video-trainer improves the operative performance of surgery residents. STUDY DESIGN: Second- and third-year residents (n= 27) were prospectively randomized to receive formal laparoscopic skills training or to a control group. At baseline, residents had a validated global assessment of their ability to perform a laparoscopic cholecystectomy based on direct observation by three evaluators who were blinded to the residents' randomization status. Residents were also tested on five standardized video-trainer tasks. The training group practiced the video-trainer tasks as a group for 30 minutes daily for 10 days. The control group received no formal training. All residents repeated the video-trainer test and underwent a second global assessment by the same three blinded evaluators at the end of the 1-month rotation. Within-person improvement was determined; improvement was adjusted for differences in baseline performance. RESULTS: Five residents were unable to participate because of scheduling problems; 9 residents in the training group and 13 residents in the control group completed the study. Baseline laparoscopic experience, video-trainer scores, and global assessments were not significantly different between the two groups. The training group on average practiced the video-trainer tasks 138 times (range 94 to 171 times); the control group did not practice any task. The trained group achieved significantly greater adjusted improvement in video-trainer scores (five of five tasks) and global assessments (four of eight criteria) over the course of the four-week curriculum, compared with controls. CONCLUSIONS: Intense training improves video-eye-hand skills and translates into improved operative performance for junior surgery residents. Surgical curricula should contain laparoscopic skills training.
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Citations
Cited by
Barry Issenberg, S., Mcgaghie, W. C., Petrusa, E. R., Lee Gordon, D., & Scalese, R. J. (2005) · Medical Teacher · doi:10.1080/01421590500046924 · Cited by 3,966
Virtual reality training for surgical trainees in laparoscopic surgery
Nagendran, M., Gurusamy, K. S., Aggarwal, R., Loizidou, M., & Davidson, B. R. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006575.pub3 · Cited by 593
Bland, K. I. (2006) · Yearbook of Surgery · doi:10.1016/s0090-3671(08)70537-8 · Cited by 367
Evaluating the impact of simulation on translational patient outcomes
McGaghie, W. C., Draycott, T. J., Dunn, W. F., Lopez, C. M., & Stefanidis, D. (2011) · Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0b013e318222fde9 · Cited by 336
Li, M., Ganni, S., Ponten, J., Albayrak, A., Rutkowski, A.-F., & Jakimowicz, J. (2020) · 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr46266.2020.1581301697128 · Cited by 32
Metadata
- Authors
- Scott, D. J., Bergen, P. C., Rege, R. V., Laycock, R., Tesfay, S. T., Valentine, J. R., Euhus, D. M., Jeyarajah, R. D., Thompson, W. M., & Jones, D. B.
- Venue
- Journal of the American College of Surgeons
- Published
- 2000-09
- Volume
- 191
- Issue
- 3
- Pages
- 272-283
- ISSN
- 1072-7515 (ISSN-L)
- OpenAlex
- W1511889812
- Cited by
- 734
- References
- 0
- FWCI
- 15.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Scott, D. J., Bergen, P. C., Rege, R. V., Laycock, R., Tesfay, S. T., Valentine, J. R., Euhus, D. M., Jeyarajah, R. D., Thompson, W. M., & Jones, D. B. (2000). Laparoscopic training on bench models: better and more cost effective than operating room experience?1. Journal of the American College of Surgeons. https://doi.org/10.1016/s1072-7515(00)00339-2
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.