ReviewJournal of advanced nursing2026
Self-Determination Theory as a Framework for Research and Design of Digital Applications for Nurses' Well-Being.
Review in Journal of advanced nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Profiles of artificial intelligence literacy and associations with evidence-based practice competence among nurses: a latent profile analysis.BMC nursing · 2026Article
- Integrating support, trust, and self-efficacy to enhance work engagement: the moderating role of basic psychological needs among nurses.BMC psychology · 2026Article
- Association Between Psychological Empowerment and Work Engagement Among Rural Nurses: A Latent Profile and Moderation Analysis.Journal of nursing management · 2026Article
- The more the better? The non-linear effect of workload on workplace well-being.Frontiers in psychology · 2026Article
- Decent work perception and burnout in pediatric nurses: the mediating effect of basic psychological needs based on self-determination theory.Frontiers in public health · 2026Article
- Head nurses' scientific research and innovation leadership and nurses' innovative work behavior: the mediating role of intra-team competition perception and the moderating role of harmonious work passion.Frontiers in psychology · 2026Article
- Spirituality, Culture and Job Satisfaction in the Holistic Assessment of Nurses' Well-Being at Work: A Cross-Sectional Survey Study.Journal of nursing management · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo establish the suitability of self-determination theory as a theoretical framework to inform research and design of digital applications for nurses' well-being. DESIGN AND
methodThis discursive paper describes the background and core premises of self-determination theory and explains its relevance as a theoretical framework to support research and the design of digital applications to promote nurses' well-being.
findingsIncreasing numbers of digital applications are being used by nurses, but few are supported by clearly explicated theoretical frameworks. Self-determination theory focuses on how people's innate psychological needs interact and are influenced by the social environments where they live and work. Given the influence the social environment can have on well-being, self-determination theory is well suited as a theoretical framework to inform research and design of digital applications promoting nurses' well-being.
conclusionsStress and burnout impact nurses worldwide, to the detriment of staff well-being, their retention in health services, and provision of patient care. The rapid development and ubiquitous use of digital applications by nurses make researching their effectiveness vitally important if nurses' well being is to be supported. Self-determination theory provides a theoretical framework useful for these applications. IMPLICATIONS FOR THE PROFESSION: Through the lens of self-determination theory, researchers, digital application designers, and organisations can garner further insights to support digital application development and implementation for the well-being of nurses. IMPACT: This paper has international relevance and can assist researchers, application designers, and organisations interested in promoting nurses' well-being through understanding the applicability and usefulness of self-determination theory as a theoretical framework for the design of digital applications for nurses' well-being. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.