Educational interventions and their effects on healthcare professionals' digital competence development: A systematic review.

Digital health Healthcare professional Intervention Nursing informatics Professional competence Telemedicine

Journal

International journal of medical informatics
ISSN: 1872-8243
Titre abrégé: Int J Med Inform
Pays: Ireland
ID NLM: 9711057

Informations de publication

Date de publication:
10 Mar 2024
Historique:
received: 28 08 2023
revised: 09 02 2024
accepted: 24 02 2024
medline: 20 3 2024
pubmed: 20 3 2024
entrez: 19 3 2024
Statut: aheadofprint

Résumé

The digitalisation of healthcare requires that healthcare professionals are equipped with adequate digital competencies to be able to deliver high-quality healthcare. Continuing professional education is needed to ensure these competencies. This systematic review aimed to identify and describe the educational interventions that have been developed to improve various aspects of the digital competence of healthcare professionals and the effects of these interventions. A systematic literature review following the Joanna Briggs Institute's guidelines for Evidence Synthesis was conducted. Five electronic databases (CINAHL, PubMed, ProQuest, Scopus and Medic) up to November 2023 were searched for studies. Two researchers independently assessed the eligibility of the studies by title, abstract and full text and the methodological quality of the studies. Data tabulation and narrative synthesis analysis of study findings were performed. The PRISMA checklist guided the review process. This review included 20 studies reporting heterogeneous educational interventions to develop the digital competence of healthcare professionals. The participants were mainly nurses and interventions were conducted in various healthcare settings. The length of the education varied from a 20-minute session to a six-month period. Education was offered through traditional contact teaching, using a blended-learning approach and through videoconference. Learning was enhanced through lectures, slide presentations, group work, case studies, discussions and practical exercises or simulations. Educational interventions achieved statistically significant results regarding participants' knowledge, skills, attitudes, perception of resources, self-efficacy or confidence and output quality. The findings of this review suggest that digital competence education of nurses and allied health professionals would benefit from a multi-method approach. Training should provide knowledge as well as opportunities to interact with peers and instructors. Skills and confidence should be enhanced through practical training. Adequate organisational support, encouragement, and individual, needs-based guidance should be provided.

Identifiants

pubmed: 38503251
pii: S1386-5056(24)00059-5
doi: 10.1016/j.ijmedinf.2024.105396
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105396

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

E Kulju (E)

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. Electronic address: kuljue@gmail.com.

E Jarva (E)

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. Electronic address: erika.jarva@oulu.fi.

A Oikarinen (A)

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. Electronic address: anne.oikarinen@oulu.fi.

M Hammarén (M)

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. Electronic address: mira.hammaren@oulu.fi.

O Kanste (O)

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. Electronic address: outi.kanste@oulu.fi.

K Mikkonen (K)

Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Medical Research Center Oulu, Wellbeing Services County of North Ostrobothnia, Oulu, Finland. Electronic address: kristina.mikkonen@oulu.fi.

Classifications MeSH