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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT02895347
Other study ID # 111547
Secondary ID
Status Active, not recruiting
Phase N/A
First received September 6, 2016
Last updated September 6, 2016
Start date December 2015
Est. completion date December 2016

Study information

Verified date September 2016
Source George Washington University
Contact n/a
Is FDA regulated No
Health authority United States: George Washington University Institutional Review Board
Study type Interventional

Clinical Trial Summary

The goal of our project is to define the optimal learning environment and protocol for dvSS® simulation activities using medical students as robotic-naïve research participants.


Description:

The goal of our project is to define the optimal learning environment and protocol for dvSS® simulation activities using medical students as robotic-naïve research participants. We propose to accomplish this goal through the following aims:

Specific Aim #1: to investigate the total training time and the total number of repetitions required for participants to achieve proficiency (as defined on the dvSS® as 91%) for each of the selected exercises in selected dVSS activities.

Specific Aim #2: to measure the transferability of skills acquired through a robotic simulation to live porcine models compared to nonintervention controls. Our study will compare the effect of training with the dVSS to similar nonintervention controls by grading a suturing procedure on a live porcine model.

Findings generated from this study will provide new insight into the efficacy of the dVSS as a simulation- based training tool for medical practitioners. Collectively, this work will build upon the narrow knowledge base on how to develop a nationally accredited simulation-based robotics curriculum.

Our study undoubtedly furthers the GWU SMHS mission of education, research, and healing. The study seeks to understand the learning curve students can achieve by simulation-based training and then to directly apply that training to a safe in vivo model in order to determine training interventions that can inform a robotic curriculum both locally at GWU and throughout the country. Additionally, our study is innovative in that it is the first of its kind to correlate skills acquired on a robotic-simulation gynecology based tool to a live porcine model. Our study seeks to enhance the current GWU GYN robotics- curriculum and assist with the development of a specific curriculum within the next year. Although our immediate goal is for planning toward a gynecology robotic curriculum, results of this study could also inform development of robotic programs in other disciplines such as general surgery and urology. Considering, the limited development of simulation-based robotics curriculum, further refining the curriculum would allow GWU to continue "to be globally recognized as a medical center that embraces the challenge of…transforming health care, and expanding research to enrich and improve the lives of those we serve." It also serves to "leverage the SMHS brand to enhance opportunities for recognition, distinction..& marketing." Preparing a generation of well-trained and confident gynecologic surgeons will allow us to provide safe care to women.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 36
Est. completion date December 2016
Est. primary completion date March 2016
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Both
Age group N/A and older
Eligibility Inclusion Criteria:

- medical & physician assistant students at George Washington University with no prior experience using a surgical robot

Exclusion Criteria:

- medical & physician assistant students at George Washington University with prior experience using a surgical robot

- students not enrolled in the medical or physician assistant program at George Washington University

Study Design

Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Investigator)


Related Conditions & MeSH terms

  • Study Will be Focused on Medical Students Naive to Surgical Robotics

Intervention

Behavioral:
Surgical Simulation Practice Modules
The surgical simulation practice modules simulate surgical settings for suturing.

Locations

Country Name City State
United States George Washington University Medical Faculty Associates Washington District of Columbia

Sponsors (1)

Lead Sponsor Collaborator
George Washington University

Country where clinical trial is conducted

United States, 

References & Publications (9)

Advincula AP, Wang K. Evolving role and current state of robotics in minimally invasive gynecologic surgery. J Minim Invasive Gynecol. 2009 May-Jun;16(3):291-301. doi: 10.1016/j.jmig.2009.03.003. Review. — View Citation

Aghazadeh MA, Jayaratna IS, Hung AJ, Pan MM, Desai MM, Gill IS, Goh AC. External validation of Global Evaluative Assessment of Robotic Skills (GEARS). Surg Endosc. 2015 Nov;29(11):3261-6. doi: 10.1007/s00464-015-4070-8. Epub 2015 Jan 22. — View Citation

Brenot K, Goyert GL. Impact of robotic surgery on obstetric-gynecologic resident training. J Reprod Med. 2009 Nov-Dec;54(11-12):675-7. — View Citation

Gobern JM, Novak CM, Lockrow EG. Survey of robotic surgery training in obstetrics and gynecology residency. J Minim Invasive Gynecol. 2011 Nov-Dec;18(6):755-60. doi: 10.1016/j.jmig.2011.08.004. — View Citation

Hung AJ, Zehnder P, Patil MB, Cai J, Ng CK, Aron M, Gill IS, Desai MM. Face, content and construct validity of a novel robotic surgery simulator. J Urol. 2011 Sep;186(3):1019-24. doi: 10.1016/j.juro.2011.04.064. Epub 2011 Jul 23. — View Citation

Kenney PA, Wszolek MF, Gould JJ, Libertino JA, Moinzadeh A. Face, content, and construct validity of dV-trainer, a novel virtual reality simulator for robotic surgery. Urology. 2009 Jun;73(6):1288-92. doi: 10.1016/j.urology.2008.12.044. Epub 2009 Apr 10. — View Citation

Sheth SS, Fader AN, Tergas AI, Kushnir CL, Green IC. Virtual reality robotic surgical simulation: an analysis of gynecology trainees. J Surg Educ. 2014 Jan-Feb;71(1):125-32. doi: 10.1016/j.jsurg.2013.06.009. Epub 2013 Jul 12. — View Citation

Stefanidis D, Wang F, Korndorffer JR Jr, Dunne JB, Scott DJ. Robotic assistance improves intracorporeal suturing performance and safety in the operating room while decreasing operator workload. Surg Endosc. 2010 Feb;24(2):377-82. doi: 10.1007/s00464-009-0578-0. Epub 2009 Jun 18. — View Citation

Stegemann AP, Ahmed K, Syed JR, Rehman S, Ghani K, Autorino R, Sharif M, Rao A, Shi Y, Wilding GE, Hassett JM, Chowriappa A, Kesavadas T, Peabody JO, Menon M, Kaouk J, Guru KA. Fundamental skills of robotic surgery: a multi-institutional randomized controlled trial for validation of a simulation-based curriculum. Urology. 2013 Apr;81(4):767-74. doi: 10.1016/j.urology.2012.12.033. Epub 2013 Feb 26. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Quality of suturing Quality, as assessed by surgeons using a verified assessment tool, to perform the suturing activity Three weeks after orientation No
Primary Amount time to suture time, measured in minutes, it took each participant to perform the suturing activity Three weeks after orientation No
Primary Amount of time to achieve proficiency time, measured in days, it took each participant in the intervention group to achieve surgical proficiency on the robotic simulator. assessed after the orientation and prior to the three week date for the final suturing assessment No