Laypersons Cannot Select Preferred Surgeon Based on Videos of Simulated Robot-assisted Radical Prostatectomies

Clinical Competence Clinical Trial

Official title: Laypersons Cannot Select Preferred Surgeon Based on Videos of Simulated Robot-assisted Radical Prostatectomies

Status Completed

Clinical Trial Summary

The goal of this comparative blinded assessment study is to compare ratings of crowd workers and expert ratings in simulated robot-assisted radical prostatectomies The main question[s] it aims to answer are: - to examine the use of crowdsourced assessment for assessing the performance of robot-assisted rad-ical prostatectomy (RARP) compared with using experienced surgeons - to explore if some CW are better than others. Participants will assess edited videos of simulated robot assisted radical prostatecotmies using a standardized assessment tool. The laypersons will be asked to answer yes/no to the question: 'Would you trust this doctor to perform robot-assisted surgery on you?' after each surgery. All participants were blinded to the identity of the surgeon performing the videos of the robot-assisted radical prostatectomy Researchers will compare laypersons with expert raters to see if any difference between their ratings

Clinical Trial Description

3. Trial design 3.1 Content This study will evaluate global robotic skills for the three modules performed on the RobotiX, Sim-bionix: bladder neck dissection, nerve sparring dissection, and ureterovesical anastomosis all recorded from the previous study: 'Validation of a novel simulation-based test in robot-assisted radical prostatectomy.' 3.2 Response process Experienced surgeons and crowd workers will first be presented with a short, written instruction describing the trial. Before enrolment all participants will have signed an informed consent (appendix 2) and a demographic questionnaire for baseline characteristics of the crowd and surgical experience of the experienced surgeons (Appendix 3). After completion of the informed consent and demographic questionnaire the survey links will be sent to the participants. Afterwards, both crowd raters and experts will be trained on how to assess the videos with use of the assessment tool, mGEARS. mGEARS is composed of 5 domains: depth perception, bimanual dexterity, efficiency, force sensitivity, and robotic control. Performance in each domain is measured on a 5-point Likert scale. A rating of 1 corresponds to the lowest level of performance, whereas a rating of 5 corresponds to the highest level of performance. An overall performance score is derived by summing the scores of each of the domains (25 points). The raters will have time to read and understand the assessment tool before rating the videos. An elaborate explanation of the chosen domains will be given to the raters including how to rate each video. 3.4 Video material The participants will be assessing the videos using the assessment tool in a survey sent by E-boks. The surveys will be sent using a URL-link from Redcap. All videos are stored at 23video system and a link to the videos will be included in the survey. The survey has successfully been tested on different devices. The investigators will randomly choose videos from the third repetition from 5 novice surgeons, 5 experienced robotic surgeons and 5 experienced robotic surgeons in RARP. The investigators will use edited videos to the length of maximum 5 minutes. The videos will be edited from start (0 minutes) and 5 minutes forward, where the video will be stopped. Therefore, the videos will show how far the surgeon has come after 5 minutes of simulated operation. A total of 4548 edited videos will be used for crowd-sourced assessment. To secure response process of Messick's framework all participants will be blinded to the identity and skill level of the surgeon on the recorded video. The experienced surgeons could potentially rate their own videos, which could be a threat to validity for the response process, but as the vide-os are blinded, they will not know which videos are their own. In addition, there will be a signifi-cant time delay between them having performed the task and rating the videos. Thus, it is unlikely that they will be able to identify their own videos. All videos will be given a randomly allocated identification ID. 3.5 Video-rating Each participant will rate ten randomly chosen videos using GEARS. The participants will be given a randomized ID number, which is used to match the ten videos to the participant. They will be asked to evaluate each video with the five different domains of GEARS on a scale from one to five. After rating the video, the participant will be asked to answer 'yes' or 'no' to the question: 'Would the participant trust this doctor to operate on he participant, if the participant were to have their prostate removed using robotic-assisted surgery?'. The participants will fill in the answers after the video-rating in RedCap. 3.6 Evaluation questions After the crowd-raters finish the video-ratings, they will receive a final questionnaire in RedCap, where they are asked their opinion about a possible future role as crowd-raters regarding time use and possible payment level (appendix 4). 3.7 Data-collection All data will be collected and stored in RedCap, which is a platform designed to store research data. All data will be pseudo anonymized as all participants will get a unique link only known to the participant and the principal investigator (RGO). The participants can only rate the video once. The data will be blinded by RGO prior to statistical analysis. 4. Selection of participants The crowd workers will be recruited by a Danish Association for volunteer patients who would like to contribute to research, Forskningspanelet. e-mail, Facebook, at the website of the Danish prostate cancer association (PROPA) or the monthly PROPA membership magazine. The expert panel will be invited by e-mail. ;

Related Conditions & MeSH terms

• Clinical Competence

• NCT number: NCT05607485
• Study type: Interventional
• Source: Copenhagen Academy for Medical Education and Simulation
• Status: Completed
• Phase: N/A
• Start date: April 1, 2021
• Completion date: May 1, 2022