Randomized Controlled Evaluation of Robotic Cardiac Surgery Training Modalities
- Conditions
- Robotic Surgery Simulation Training
- Interventions
- Other: Dry LabOther: Wet LabOther: Virtual Reality
- Registration Number
- NCT02357056
- Lead Sponsor
- Lawson Health Research Institute
- Brief Summary
The purpose of this research is to objectively compare various training modalities currently available in minimally invasive and robotic surgery to determine the most effective training methods specific to robotic cardiac surgery. We hope to recruit medical trainees with minimal robotic surgery training experience, randomly assigned to one of three groups (Dry wab, da Vinci Simulator and Wet lab). Trainees will be evaluated at baseline for a standardized tasks common in robotic cardiac surgery and then divided into one of the three training modalities. Trainees will be given sufficient time to become proficient with a variety of predetermined tasks unique to each training group. The trainees will then undergo a reevaluation with the cardiac surgery specific tasks at the end of a standard training period. We will then be able to compare our three groups to show if any have benefits over the others in regards to improvement in technical ability, understanding of the robots functions, efficacy of training, speed of technical skill development, accuracy and efficiency of movement. We will rate each modality on their reproducibility, accuracy of representation, and ease of set up and perform a cost analysis for each of the training methods.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 40
- Residents, fellows and staff of a surgical specialty with less then 10 hours using the daVinci robot or any robotic simulator.
- Individuals not associated with a surgical program
- Individuals with >10 hours experience driving the daVinci Robot or any robotic simulator
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Dry Lab Dry Lab Subjects in the dry lab group will perform exercises form the fundamentals of laparoscopic surgery (FLS) program adapted for the daVinci robot. These exercises included, camera and clutching, peg transfer and intracorporeal knot tying. Participants will repeat these tasks until time proficiency is reached based on the performance of our expert robotic surgeons. Wet Lab Wet Lab Subjects in the wet lab group will perform dissections of the internal thoracic artery and placement of annuloplasty stitches in the mitral valve in pig models until time proficiency is reached based on the performance of our expert robotic surgeons. Virtual Reality Virtual Reality Subjects in the virtual reality group will perform exercises from a 9 task curriculum, on the daVinci Skills Simulator. These exercises included, camera and clutching, energy switching, peg board, energy dissection, matchboard, ringwalk, suture sponge, and vertical defect suturing. Participants will repeat these tasks all metrics are passed and an overall score is reached based on the performance of our expert robotic surgeons.
- Primary Outcome Measures
Name Time Method Global Evaluative Assessment of Robotic Skills (GEARS) Score 3 Months A validated objective scoring tool will be used to evaluate overall robotic surgical skill for each task.
Time to Complete Mitral Valve Annuloplasty 3 months A total score for this task will be generated from the formula; Score = 720 - Time(s), If any damage is done to the tissues a score of zero will be assessed.
Time To Complete 10cm dissection of the Internal Thoracic Artery 3 months A total score for this task will be generated from the formula; Score = 1320 - Time(s), If any damage is done to the tissues a score of zero will be assessed.
- Secondary Outcome Measures
Name Time Method Duration of Training 3 Months Total duration of time spent on the robot in order to reach proficiency marks set by expert surgeons will be recorded and compared.
Trial Locations
- Locations (1)
Canadian Surgical Technologies & Advanced Robotics (CSTAR)
🇨🇦London, Ontario, Canada