Characteristics and quality assessment of online mentoring profile texts in academic medical mentoring
© 2023. The Author(s)..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
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| Enthalten in: |
BMC medical education - 23(2023), 1 vom: 09. Nov., Seite 849 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Gernert, Jonathan A [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 13.11.2023 Date Revised 13.11.2023 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12909-023-04804-1 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM364378190 |
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| 500 | |a Date Revised 13.11.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s). | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a CONCLUSION: The introduced classification system helps to understand how mentoring profile texts are composed and which aspects are important for choosing a suited mentor | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Medical mentoring | |
| 650 | 4 | |a Online matching | |
| 650 | 4 | |a Online mentoring profiles | |
| 700 | 1 | |a Warm, Maximilian |e verfasserin |4 aut | |
| 700 | 1 | |a Salvermoser, Lukas |e verfasserin |4 aut | |
| 700 | 1 | |a Krüger, Nils |e verfasserin |4 aut | |
| 700 | 1 | |a Bethe, Stephan |e verfasserin |4 aut | |
| 700 | 1 | |a Kocheise, Lorenz |e verfasserin |4 aut | |
| 700 | 1 | |a von Hake, Malte |e verfasserin |4 aut | |
| 700 | 1 | |a Meyer-Schwickerath, Charlotte |e verfasserin |4 aut | |
| 700 | 1 | |a Graupe, Tanja |e verfasserin |4 aut | |
| 700 | 1 | |a Fischer, Martin R |e verfasserin |4 aut | |
| 700 | 1 | |a Dimitriadis, Konstantinos |e verfasserin |4 aut | |
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