Background: Technology for minimal access surgery is rapidly progressing in all surgical specialities including Gynaecology. As robotic surgery becomes established in increasing numbers of hospitals, there is no set curriculum for training in robotic gynaecological surgery or the assistant role in use in the UK. The purpose of this study was to determine a list of competencies that could be used as the basis of a core robotic gynaecological surgery curriculum, to explore its acceptability and the level of interest in undertaking training in robotics among obstetrics & gynaecology (O&G) trainees. Methods: A four-round Delphi study was conducted using members and associates of British & Irish Association of Robotic Gynaecological Surgeons (BIARGS). In Round 1 respondents were asked to propose standards that could be used in the curriculum. In the following three rounds, the respondents were asked to score each of the standards according to their opinion as to the importance of the standard. Items that scored a mean of 80% or above were included in the final proposed curriculum. Following this, a national survey was conducted to explore the interest among O&G trainees in undertaking a formal robotic training for the first assistant and console surgeon roles.Results: The items proposed were divided into three separate sections: competencies for a medical first assistant; competencies for a console surgeon; continued professional development for trained console surgeons. From the national survey; 109 responses were received of which 60% were interested in undertaking a formal training for the first assistant role, and 68% are expressing interest in training for the console surgeon role.Conclusion: Undertaking a Delphi exercise to determine a core gynaecological robotic training curriculum has enabled consensus to be achieved from the opinions of BIARGS members/associates. There is interest among O&G trainees at all levels of training to gain experience and develop their skills in robotic surgery by undertaking a formal training in robotic surgery at both the first assistant and console surgeon level.
Robot-assisted surgery has numerous patient benefits compared to open surgery including smaller incisions, lower risk of infection, less post-operative pain, shorter hospital stays and a quicker return to the workforce. As such, it has become the first-choice surgical modality for several surgical procedures with the most common being prostatectomy and hysterectomy. However, research has identified that the perceptions of robot-assisted surgery among surgical patients and medical staff often do not accurately reflect the real-world situation. This study aimed to understand male and female perceptions of robot-assisted surgery with the objective of identifying the factors that might inhibit or facilitate the acceptance of robotic surgery. Semi-structured interviews were undertaken with 25 men/women from diverse social/ethnic backgrounds. The interviews were transcribed and analysed using thematic analysis. The majority of female participants expressed concerns in relation to the safety and perception of new technology in surgery, whereas many male participants appeared to be unfazed by the notion of robotic surgery. There were clear differences in how males and females understood and conceptualised the robot-assisted surgical process. Whilst male participants tended to humanise the process, female participants saw it as dehumanising. There is still a discrepancy between the public perceptions of robotic surgery and the clinical reality perceived by healthcare professionals. The findings will educate medical staff and support the development of current informative techniques given to patients prior to surgery.
2022-RA-1410-ESGO Table 1 Class Indicator 1 (LDH tot vs. UMG) Indicator 2 (UMG vs. LDH5) Indicator 3 (p) (c) UMG > 40 -0.05 Abstract 2022-RA-1410-ESGO Figure 1 Conclusion An accurate risk assessment in uterine lesions would suggest clinicians which is the most appropriate diagnostic and therapeutic approach for each affected woman.The new patented algorithm R.A.U.L., once validated by prospective studies, would allow to better stratify the risk of sarcoma in order to limit open approaches and offer conservative treatment in women with no or low-risk and ensure oncological safe procedures in women at high-risk.
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