Mentoring up for early career investigators: Empowering mentees to proactively engage in their mentoring relationships.
J Clin Transl Sci
; 8(1): e86, 2024.
Article
em En
| MEDLINE
| ID: mdl-38784110
ABSTRACT
Introduction:
Effective mentorship is recognized as critical for the professional development of clinical and translational investigators. Evidence-based mentorship training prompted the development of training for mentees at early career stages who are navigating both mentor and mentee roles. The curriculum titled, Mentoring Up for Early Career Investigators, recognizes the importance of building mentee self-efficacy across proactive mentorship skills and competencies.Methods:
Mentoring Up for Early Career Investigators curriculum is based on the research mentor training approach in Entering Mentoring. Pilot implementations of Mentoring Up at the University of Wisconsin-Madison and University of Pennsylvania had positive training outcomes for KL2 Scholars. Subsequently, Mentoring Up was implemented and evaluated at several other institutions. For 26 implementations longer than 4 hours, data were collected on trainee demographics, satisfaction with training, skill gains across mentorship competencies, and the intent to change mentoring behaviors following training.Results:
88% of participants rated the mentee training as valuable. Significant skill gains were reported across all mentorship competencies following training. 77% reported specific plans to change or augment their mentoring behaviors because of the training. The majority aligned with mentorship skill competencies (aligning expectations, effective communications) or mentoring up strategies (voicing needs, setting boundaries, communicating proactively).Conclusion:
Mentoring Up training is effective in advancing mentee skills and promoting strategies to be more proactive in getting their mentoring needs met. Mentoring Up offers an expansion to the suite of mentorship education and resources to support the career advancement of all in the translational science workforce.
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Base de dados:
MEDLINE
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En
Ano de publicação:
2024
Tipo de documento:
Article