Characteristics and quality assessment of online mentoring profile texts in academic medical mentoring.

Autor: Gernert JA; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany.; Institute for Clinical Neuroimmunology, LMU University Hospital, Munich, Germany., Warm M; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany., Salvermoser L; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany.; Department of Radiology, LMU University Hospital, Munich, Germany., Krüger N; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany., Bethe S; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany., Kocheise L; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany., von Hake M; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany., Meyer-Schwickerath C; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany.; Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Graupe T; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany., Fischer MR; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany., Dimitriadis K; Institute of Medical Education, LMU University Hospital, Pettenkoferstr. 8a, Munich, 80336, Germany. konstantin.dimitriadis@med.uni-muenchen.de.; Department of Neurology, LMU University Hospital, Munich, Germany. konstantin.dimitriadis@med.uni-muenchen.de.; Institute for Stroke and Dementia Research (ISD), LMU University Hospital, Munich, Germany. konstantin.dimitriadis@med.uni-muenchen.de.
Jazyk: angličtina
Zdroj: BMC medical education [BMC Med Educ] 2023 Nov 09; Vol. 23 (1), pp. 849. Date of Electronic Publication: 2023 Nov 09.
DOI: 10.1186/s12909-023-04804-1
Abstrakt: Background: Mentoring is important for a successful career in academic medicine. In online matching processes, profile texts are decisive for the mentor-selection. We aimed to qualitatively characterize mentoring-profile-texts, identify differences in form and content and thus elements that promote selection.
Methods: In a mixed method study first, quality of texts in 150 selected mentoring profiles was evaluated (10-point Likert scale; 1 = insufficient to 10 = very good). Second, based on a thematic and content analysis approach of profile texts, categories and subcategories were defined. We compared the presence of the assigned categories between the 25% highest ranked profiles with the 25% lowest ranked ones. Finally, additional predefined categories (hot topics) were labelled on the selected texts and their impact on student evaluation was statistically examined.
Results: Students rated the quality of texts with a mean of 5.89 ± 1.45. 5 main thematic categories, 21 categories and a total of 74 subcategories were identified. Ten subcategories were significantly associated with high- and four with low-rated profiles. The presence of three or more hot topics in texts significantly correlated with a positive evaluation.
Conclusion: The introduced classification system helps to understand how mentoring profile texts are composed and which aspects are important for choosing a suited mentor.
(© 2023. The Author(s).)
Databáze: MEDLINE
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