
Mentors' competence in mentoring nursing students in clinical practice: Detecting profiles to enhance mentoring practices
Author(s) -
Mikkonen Kristina,
Tomietto Marco,
Tuomikoski AnnaMaria,
Miha Kaučič Boris,
Riklikiene Olga,
VizcayaMoreno Flores,
PérezCañaveras Rosa M.,
Filej Bojana,
Baltinaite Giedre,
Cicolini Giancarlo,
Kääriäinen Maria
Publication year - 2022
Publication title -
nursing open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 12
ISSN - 2054-1058
DOI - 10.1002/nop2.1103
Subject(s) - competence (human resources) , cross sectional study , nursing , clinical practice , psychology , cluster (spacecraft) , medical education , medicine , computer science , social psychology , pathology , programming language
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.