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Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices

AIMS: To describe the mentoring competence of clinical practice nurse mentors and identify different mentor profiles. DESIGN: Cross‐sectional research design, secondary analysis. METHODS: An international, cross‐sectional study design was performed in five European countries. A total of 1 604 mentor...

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Autores principales: Mikkonen, Kristina, Tomietto, Marco, Tuomikoski, Anna‐Maria, Miha Kaučič, Boris, Riklikiene, Olga, Vizcaya‐Moreno, Flores, Pérez‐Cañaveras, Rosa M., Filej, Bojana, Baltinaite, Giedre, Cicolini, Giancarlo, Kääriäinen, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685782/
https://www.ncbi.nlm.nih.gov/pubmed/34726336
http://dx.doi.org/10.1002/nop2.1103
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author Mikkonen, Kristina
Tomietto, Marco
Tuomikoski, Anna‐Maria
Miha Kaučič, Boris
Riklikiene, Olga
Vizcaya‐Moreno, Flores
Pérez‐Cañaveras, Rosa M.
Filej, Bojana
Baltinaite, Giedre
Cicolini, Giancarlo
Kääriäinen, Maria
author_facet Mikkonen, Kristina
Tomietto, Marco
Tuomikoski, Anna‐Maria
Miha Kaučič, Boris
Riklikiene, Olga
Vizcaya‐Moreno, Flores
Pérez‐Cañaveras, Rosa M.
Filej, Bojana
Baltinaite, Giedre
Cicolini, Giancarlo
Kääriäinen, Maria
author_sort Mikkonen, Kristina
collection PubMed
description AIMS: To describe the mentoring competence of clinical practice nurse mentors and identify different mentor profiles. DESIGN: Cross‐sectional research design, secondary analysis. METHODS: An international, cross‐sectional study design was performed in five European countries. A total of 1 604 mentors from 33 healthcare organizations participated in the study between 2016–2019. The Mentors' Competence Instrument (MCI), which includes seven sub‐dimensions and 44 items, was used to collect data. K‐means cluster and binary regression analyses were performed to detect mentor profiles and determine how various factors affect competence, respectively. RESULTS: The K‐means cluster analysis identified three distinct profiles: A (n = 926); B (n = 566); and C (n = 85). The profiles showed significantly different values (p < .001) across all seven areas of mentoring competence. In comparison with the other profiles, nurses in profile A were older, had more work experience and were more probably to have completed mentoring‐specific training.
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spelling pubmed-86857822021-12-30 Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices Mikkonen, Kristina Tomietto, Marco Tuomikoski, Anna‐Maria Miha Kaučič, Boris Riklikiene, Olga Vizcaya‐Moreno, Flores Pérez‐Cañaveras, Rosa M. Filej, Bojana Baltinaite, Giedre Cicolini, Giancarlo Kääriäinen, Maria Nurs Open Research Articles AIMS: To describe the mentoring competence of clinical practice nurse mentors and identify different mentor profiles. DESIGN: Cross‐sectional research design, secondary analysis. METHODS: An international, cross‐sectional study design was performed in five European countries. A total of 1 604 mentors from 33 healthcare organizations participated in the study between 2016–2019. The Mentors' Competence Instrument (MCI), which includes seven sub‐dimensions and 44 items, was used to collect data. K‐means cluster and binary regression analyses were performed to detect mentor profiles and determine how various factors affect competence, respectively. RESULTS: The K‐means cluster analysis identified three distinct profiles: A (n = 926); B (n = 566); and C (n = 85). The profiles showed significantly different values (p < .001) across all seven areas of mentoring competence. In comparison with the other profiles, nurses in profile A were older, had more work experience and were more probably to have completed mentoring‐specific training. John Wiley and Sons Inc. 2021-11-02 /pmc/articles/PMC8685782/ /pubmed/34726336 http://dx.doi.org/10.1002/nop2.1103 Text en © 2021 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Mikkonen, Kristina
Tomietto, Marco
Tuomikoski, Anna‐Maria
Miha Kaučič, Boris
Riklikiene, Olga
Vizcaya‐Moreno, Flores
Pérez‐Cañaveras, Rosa M.
Filej, Bojana
Baltinaite, Giedre
Cicolini, Giancarlo
Kääriäinen, Maria
Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices
title Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices
title_full Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices
title_fullStr Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices
title_full_unstemmed Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices
title_short Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices
title_sort mentors' competence in mentoring nursing students in clinical practice: detecting profiles to enhance mentoring practices
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685782/
https://www.ncbi.nlm.nih.gov/pubmed/34726336
http://dx.doi.org/10.1002/nop2.1103
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