A qualitative study of mentors' perceptions and experiences of a near-peer mentoring program for medical students

Lea Polczman, Mark Jambor,Zsuzsa Gyorffy,Gyorgy Purebl, Andras Vegh,Edmond Girasek

FRONTIERS IN EDUCATION(2024)

引用 0|浏览0
暂无评分
摘要
Introduction During their academic studies, medical students may encounter a variety of challenging situations. It is no wonder that they have a higher prevalence of poor mental health than the general population. Mentoring programs have proven useful in promoting mental health in medical education. The study aimed to explore the perceptions and experiences of medical students as mentors in a near-peer mentoring program.Methods A qualitative study was carried out between March and April 2022 at Semmelweis University in Budapest, Hungary. Five focus group discussions (FGDs) included 26 medical students who were enrolled as mentors in the mentoring program. The recordings were transcribed verbatim and anonymized. An deductive and semantic approach was adopted, and the data were analyzed with thematic analysis.Results Three major themes were identified: professional and personal growth and reflections on the mentoring experience. Mentors reported growth in social and practical problem-solving skills, self-confidence, psychosocial benefits, and both personal and professional development. The program had a great impact on students' sense of self-efficacy, self-awareness, perception of their competencies, and adherence to their boundaries.Discussion In conclusion, the mentors strongly emphasized the professional and psychosocial benefits they perceived while participating in the mentoring program. Therefore, the experiences obtained during the mentoring are important milestones. Mentoring programs could greatly improve students both personally and professionally so that later, they will be the best possible professionals in the field of health care.
更多
查看译文
关键词
medical students,near-peer mentoring program,students' experience,students' perceptions,qualitative study,focus group discussion
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要