Simulation platforms to assess laparoscopic suturing skills: a scoping review

2019 ◽  
Vol 33 (9) ◽  
pp. 2742-2762 ◽  
Author(s):  
Elif Bilgic ◽  
Motaz Alyafi ◽  
Tomonori Hada ◽  
Tara Landry ◽  
Gerald M. Fried ◽  
...  
2018 ◽  
Vol 25 (3) ◽  
pp. 286-290 ◽  
Author(s):  
Elif Bilgic ◽  
Madoka Takao ◽  
Pepa Kaneva ◽  
Satoshi Endo ◽  
Toshitatsu Takao ◽  
...  

Background. Needs assessment identified a gap regarding laparoscopic suturing skills targeted in simulation. This study collected validity evidence for an advanced laparoscopic suturing task using an Endo StitchTM device. Methods. Experienced (ES) and novice surgeons (NS) performed continuous suturing after watching an instructional video. Scores were based on time and accuracy, and Global Operative Assessment of Laparoscopic Surgery. Data are shown as medians [25th-75th percentiles] (ES vs NS). Interrater reliability was calculated using intraclass correlation coefficients (confidence interval). Results. Seventeen participants were enrolled. Experienced surgeons had significantly greater task (980 [964-999] vs 666 [391-711], P = .0035) and Global Operative Assessment of Laparoscopic Surgery scores (25 [24-25] vs 14 [12-17], P = .0029). Interrater reliability for time and accuracy were 1.0 and 0.9 (0.74-0.96), respectively. All experienced surgeons agreed that the task was relevant to practice. Conclusion. This study provides validity evidence for the task as a measure of laparoscopic suturing skill using an automated suturing device. It could help trainees acquire the skills they need to better prepare for clinical learning.


2009 ◽  
Vol 56 (5) ◽  
pp. 865-873 ◽  
Author(s):  
Stephanie G.C. Kroeze ◽  
Erik K. Mayer ◽  
Samarth Chopra ◽  
Rajesh Aggarwal ◽  
Ara Darzi ◽  
...  

Author(s):  
Virinder Kumar Bansal ◽  
Tseten Tamang ◽  
Mahesh C. Misra ◽  
Pradeep Prakash ◽  
Karthik Rajan ◽  
...  

2018 ◽  
Vol 32 (7) ◽  
pp. 3009-3023 ◽  
Author(s):  
Elif Bilgic ◽  
Satoshi Endo ◽  
Ekaterina Lebedeva ◽  
Madoka Takao ◽  
Katherine M. McKendy ◽  
...  

2017 ◽  
Vol 74 (4) ◽  
pp. 656-662 ◽  
Author(s):  
Ghada Enani ◽  
Yusuke Watanabe ◽  
Katherine M. McKendy ◽  
Elif Bilgic ◽  
Liane S. Feldman ◽  
...  

2020 ◽  
Vol 34 (11) ◽  
pp. 5188-5199
Author(s):  
Salvador Montoya-Alvarez ◽  
Arturo Minor-Martínez ◽  
Ricardo Manuel Ordorica-Flores ◽  
Luis Padilla-Sánchez ◽  
Jesús Tapia-Jurado ◽  
...  

2006 ◽  
Vol 20 (2) ◽  
pp. 144-148 ◽  
Author(s):  
Stephen Griffin ◽  
Anant Kumar ◽  
Neil Burgess ◽  
Peter Donaldson

Surgery ◽  
2016 ◽  
Vol 160 (3) ◽  
pp. 580-585 ◽  
Author(s):  
Aimee K. Gardner ◽  
Jesse Clanton ◽  
Ibrahim I. Jabbour ◽  
Lauren Scott ◽  
Daniel J. Scott ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Gokhan Sami Kilic ◽  
Teresa M. Walsh ◽  
Mostafa Borahay ◽  
Burak Zeybek ◽  
Michael Wen ◽  
...  

Objective. To assess the impact of gynecology residents’ previous laparoscopic experience on the learning curve of robotic suturing techniques and the value of initial structured teaching in dry lab prior to surgery. Methods. Thirteen gynecology residents with no previous robotic surgery experience were divided into Group 1, consisting of residents with 2 or fewer laparoscopic experiences, and Group 2, consisting of residents with 3 or more laparoscopic experiences. Group 1 had a dry-laboratory training in suturing prior to their initial experience in the operating room. Results. For all residents, it took on average 382±159 seconds for laparoscopic suturing and 326±196 seconds for robotic suturing (P=0.12). Residents in Group 1 had a lower mean suture time than residents in Group 2 for laparoscopic suturing (P=0.009). The residents in Group 2, however, had a lower mean suture time on the robot compared to Group 1 (P=0.5). Conclusion. Residents with previous laparoscopic suturing experience may gain more from a robotic surgery experience than those with limited laparoscopic surgery experience. In addition, dry lab training is more efficient than hands-on training in the initial phase of teaching for both laparoscopic and robotic suturing skills.


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