University of Oulu

Mikkonen, K., Tomietto, M., Tuomikoski, A.-M., Miha Kaučič, B., Riklikiene, O., Vizcaya-Moreno, F., Pérez-Cañaveras, R. M., Filej, B., Baltinaite, G., Cicolini, G., & Kääriäinen, M. (2022). Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices. Nursing Open, 9, 593– 603. https://doi.org/10.1002/nop2.1103

Mentors’ competence in mentoring nursing students in clinical practice : detecting profiles to enhance mentoring practices

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Author: Mikkonen, Kristina1; Tomietto, Marco1; Tuomikoski, Anna-Maria1,2;
Organizations: 1Research Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland
2Oulu University of Applied Science, Oulu, Finland
3College of Nursing in Celje, Celje, Slovenia
4Faculty of Nursing, Lithuanian University of Health Sciences, Kaunas, Lithuania
5Nursing Department, Faculty of Health Sciences, University of Alicante, Alacant, Spain
6Department of Biomedical Science and Human Oncology, University of Bari "Aldo Moro", Bari, Italy
7Research Unit of Nursing Science and Health Management, University of Oulu, Oulu University Hospital, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202201041189
Language: English
Published: John Wiley & Sons, 2022
Publish Date: 2022-01-04
Description:

Abstract

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 < 0.001) 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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Series: Nursing open
ISSN: 2054-1058
ISSN-E: 2054-1058
ISSN-L: 2054-1058
Volume: 9
Issue: 1
Pages: 593 - 603
DOI: 10.1002/nop2.1103
OADOI: https://oadoi.org/10.1002/nop2.1103
Type of Publication: A1 Journal article – refereed
Field of Science: 316 Nursing
Subjects:
Funding: We would like to acknowledge European Commission, Erasmus+and KA2: Strategic partnership for providing funding for the project Quality mentorship for developing competent nursing students (QualMent).
Copyright information: © 2021 The Authors. Nursing Open published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 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.
  https://creativecommons.org/licenses/by-nc-nd/4.0/