The effectiveness of digital solutions in improving nurses' and healthcare professionals' mental well-being: a systematic review and meta-analysis.

digital health digital solutions effectiveness healthcare professionals mental well-being nurse systematic review work engagement

Journal

Journal of research in nursing : JRN
ISSN: 1744-988X
Titre abrégé: J Res Nurs
Pays: England
ID NLM: 101234311

Informations de publication

Date de publication:
Mar 2024
Historique:
medline: 29 7 2024
pubmed: 29 7 2024
entrez: 29 7 2024
Statut: ppublish

Résumé

Widespread challenges to mental well-being among nurses and healthcare professionals threaten the productivity and quality of healthcare. Digital solutions may prove to effectively support nurses' and healthcare professionals' mental well-being. To synthesise evidence regarding the effectiveness of digital solutions in improving nurses' and healthcare professionals' mental well-being. This systematic review followed the JBI guidance for systematic reviews of effectiveness. The PubMed, CINAHL, Scopus, Pro-Quest and APA PsycArticles databases were reviewed for randomised controlled trials and quasi-experimental studies published at any point prior to the 26th of October 2021. Meta-analysis and narrative synthesis were performed. Fourteen studies were included. Personal mental well-being solutions significantly improved nurses' and healthcare professionals' mental well-being. The effectiveness of work-related digital solutions could not be demonstrated. The meta-analysis revealed little to no effect on professionals' work engagement. Personal digital solutions may have the potential to improve the mental well-being of nurses and healthcare professionals. With the support of nurse managers' facilitation, nurses have a key role to promote their own mental well-being by utilising digital mental health solutions. Nevertheless, further adequately powered, well-designed research is required.

Sections du résumé

Background UNASSIGNED
Widespread challenges to mental well-being among nurses and healthcare professionals threaten the productivity and quality of healthcare. Digital solutions may prove to effectively support nurses' and healthcare professionals' mental well-being.
Aim UNASSIGNED
To synthesise evidence regarding the effectiveness of digital solutions in improving nurses' and healthcare professionals' mental well-being.
Methods UNASSIGNED
This systematic review followed the JBI guidance for systematic reviews of effectiveness. The PubMed, CINAHL, Scopus, Pro-Quest and APA PsycArticles databases were reviewed for randomised controlled trials and quasi-experimental studies published at any point prior to the 26th of October 2021. Meta-analysis and narrative synthesis were performed.
Results UNASSIGNED
Fourteen studies were included. Personal mental well-being solutions significantly improved nurses' and healthcare professionals' mental well-being. The effectiveness of work-related digital solutions could not be demonstrated. The meta-analysis revealed little to no effect on professionals' work engagement.
Conclusions UNASSIGNED
Personal digital solutions may have the potential to improve the mental well-being of nurses and healthcare professionals. With the support of nurse managers' facilitation, nurses have a key role to promote their own mental well-being by utilising digital mental health solutions. Nevertheless, further adequately powered, well-designed research is required.

Identifiants

pubmed: 39070568
doi: 10.1177/17449871241226914
pii: 10.1177_17449871241226914
pmc: PMC11271664
doi:

Types de publication

Journal Article

Langues

eng

Pagination

97-109

Informations de copyright

© The Author(s) 2024.

Déclaration de conflit d'intérêts

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Tiina Ilola (T)

Nurse Manager, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.

Mikael Malmisalo (M)

MSc Student, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.

Elina Laukka (E)

Post-doctoral Researcher, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.

Heli Lehtiniemi (H)

Statistician, Infrastructure for Population Studies, University of Oulu, Oulu, Finland.

Tarja Pölkki (T)

Professor, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.

Maria Kääriäinen (M)

Professor, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.

Hong-Gu He (HG)

Professor, Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore, Singapore.

Outi Kanste (O)

Professor, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.

Classifications MeSH