Developing mentorship in clinical practice: Psychometrics properties of the Mentors' Competence Instrument.

Clinical learning Competence Mentoring Scale validation

Journal

Nurse education in practice
ISSN: 1873-5223
Titre abrégé: Nurse Educ Pract
Pays: Scotland
ID NLM: 101090848

Informations de publication

Date de publication:
22 Jan 2020
Historique:
received: 21 06 2019
revised: 14 01 2020
accepted: 21 01 2020
pubmed: 6 2 2020
medline: 6 2 2020
entrez: 5 2 2020
Statut: aheadofprint

Résumé

Clinical placements are an important part of nursing education to developing nursing students' competencies. In enhancing clinical learning, to focus on mentors' competences is pivotal as they are the main role models and experts in guiding. This study is validated the Italian version of the Mentors' Competence Instrument. A sampling frame of 648 mentors was involved. The final sample included 291 mentors (response rate 45%). Confirmatory Factor Analysis was performed. Fit indices were also calculated to evaluate validity. The scale demonstrated optimal fit indexes and its validity was confirmed by psychometrical testing. In detail, Root Mean Square Error of Approximation is 0.058, Standardized Root Mean Residual is 0.046, Comparative Fit Index is 0.893 and Tucker-Lewis Index 0.886. Cronbach's alpha ranges from 0.77 to 0.95 among factors. This is the first validation of the scale performed in a different country from the original study. The performed psychometric testing showed that the scale is valid and reliable, as well as consistent with the theoretical structure reported for a different national context. This scale can be beneficial for comparing mentors' competencies across different clinical learning environments and could be used to build a broader model of mentors' competencies.

Identifiants

pubmed: 32014707
pii: S1471-5953(19)30538-4
doi: 10.1016/j.nepr.2020.102713
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102713

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors have no conflict of interests to declare.

Auteurs

Dania Comparcini (D)

Azienda Ospedaliera-Universitaria "Ospedali Riuniti", Ancona, Italy.

Giancarlo Cicolini (G)

University of Bari "Aldo Moro" - Department of Biomedical Science and Human Oncology, Italy.

Valentina Simonetti (V)

"Politecnica delle Marche" University, Italy; ASUR Marche, Ascoli Piceno, Italy.

Kristina Mikkonen (K)

Research Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland. Electronic address: https://twitter.com/Kristinamikkon.

Maria Kääriäinen (M)

Research Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland.

Marco Tomietto (M)

Research Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland; Hospital Administration Department, Azienda Sanitaria Friuli Occidentale, Pordenone, Italy. Electronic address: marco.tomietto@asfo.sanita.fvg.it.

Classifications MeSH