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Dataset Information

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


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 label

SUBMITTER: Gernert JA 

PROVIDER: S-EPMC10636985 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature