Background: To evaluate the implementation and maintenance of advanced laparoscopic skills after a structured mentorship program in laparoscopic hysterectomy (LH).
Methods: Cohort retrospective analysis of 104 successive LHs performed by two gynecologists during and after a mentorship program. LHs were compared for indication, patient characteristics and intraoperative characteristics. As a frame of reference, 94 LHs performed by the mentor were analyzed.
Results: With regard to indication, blood loss and adverse outcomes, both trainees performed LHs during their mentorship program comparable with the LHs performed by the mentor. The difference in mean operating time between trainees and mentor was not clinically significant. Both trainees progressed along a learning curve, while operating time remained statistically constant and comparable to that of the mentor. After completing the mentorship program, both gynecologists maintained their acquired skills as blood loss, adverse outcome rates and operating time were comparable with the results during their traineeship.
Conclusion: A mentorship program is an effective and durable tool for implementing a new surgical procedure in a teaching hospital with respect to patient safety aspects, as indications, operating time and adverse outcome rates are comparable to those of the mentor in his own hospital during and after completing the mentorship program.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1159/000316266 | DOI Listing |
J Contin Educ Nurs
February 2025
The nursing shortage as well as nursing turnover and attrition rates are widespread problems. Supporting new graduate nurses during their first year of practice through interventions such as a mentorship program may positively affect retention rates. A formal curriculum for mentorship was implemented for nurse residents at an acute care facility for 8 weeks.
View Article and Find Full Text PDFThis study explores the process of becoming-scientist-with, a dynamic and relational concept that redefines science identity development as a nonlinear, evolving journey. Focused on a Black male student, Travis, the study examines how his science identity was shaped through entanglements with various material and discursive forces across multiple science, technology, engineering, math, and medicine (STEMM) learning spaces. Becoming-scientist-with is conceptualized as a continual negotiation of identity within these environments, emphasizing the roles of power, systemic racism, and institutional practices in shaping students' experiences.
View Article and Find Full Text PDFGlob Public Health
December 2025
Indigenous Wellness Core, Alberta Health Services, Edmonton, Alberta, Canada.
Connecting with traditional knowledge and culture promotes the well-being of Indigenous parents and creates healthy environments for child development. Community Elders in a remote northern community in Alberta, Canada, collaborated with researchers to design a pilot Elders Mentoring Program. The programme aims to support young Indigenous mothers(-to-be), bringing back cultural traditions and teachings.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Human Physiology, Nnamdi Azikiwe University, Awka, Nigeria.
Background: A significant gap exists in understanding the effectiveness of intra-class (same-class) level peer mentorship programmes designed to enhance academic performance, well-being, and student involvement among underperforming medical students. This study assessed the effectiveness of intra-class (same-class) peer mentorship programme on the academic performances, subjective well-being and school engagement of academically underperforming medical students in Nigeria.
Methods: This was a quasi-experimental research consisting of the pretest-posttest control design at Nnamdi Azikiwe University, Awka, Nigeria.
J Health Organ Manag
January 2025
School of Health and Life Sciences, Teesside University, Middlesbrough, UK.
Purpose: The primary purpose of the study was to explore the impact of health workers' awareness of artificial intelligence (AI) on their workplace well-being, addressing a critical gap in the literature. By examining this relationship through the lens of the Job demands-resources (JD-R) model, the study aimed to provide insights into how health workers' perceptions of AI integration in their jobs and careers could influence their informal learning behaviour and, consequently, their overall well-being in the workplace. The study's findings could inform strategies for supporting healthcare workers during technological transformations.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!