1. Characteristics and quality assessment of online mentoring profile texts in academic medical mentoring.
- Author
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Gernert JA, Warm M, Salvermoser L, Krüger N, Bethe S, Kocheise L, von Hake M, Meyer-Schwickerath C, Graupe T, Fischer MR, and Dimitriadis K
- Subjects
- Humans, Mentors, Faculty, Medical, Surveys and Questionnaires, Mentoring methods, Students, Medical
- Abstract
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).)
- Published
- 2023
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