ArticleBMC nursing2025
The mediation of trust on artificial intelligence anxiety and continuous adoption of artificial intelligence technology among primacy nurses: a cross-sectional study.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory.Journal of medical Internet research · 2026Pooled it
- Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement.Frontiers in digital health · 2026Pooled it
- Dimensions of artificial intelligence anxiety among employees in the age of innovation: a systematic review.Frontiers in psychology · 2026Pooled it
- The Mediating Role of Work Engagement Between Artificial Intelligence Anxiety and Task Performance Among Nurses: A Cross-Sectional Correlational Study.Healthcare (Basel, Switzerland) · 2026Article
- AI Technology Readiness, Trust, and Supervisor Academic Support in Relation to Graduate Students' Research Self-Efficacy.Behavioral sciences (Basel, Switzerland) · 2026Article
- A concept analysis of artificial intelligence anxiety among nurses based on Walker and Avant's method.BMC nursing · 2026Article
- Explore factors affecting students' acceptance of AI resurrection and ethical dilemmas in AI resurrection technology among Chinese college students: a cross-sectional study.BMC psychology · 2026Article
- AI-driven multiscale virtual plant cell modeling: from molecular mechanisms to tissue functions.Planta · 2026Review
- Analysis of latent profiles and influencing factors of artificial intelligence anxiety among newly recruited nurses: a cross-sectional study.Frontiers in public health · 2026Article
- AI literacy and AI anxiety in nursing students: the serial mediating roles of attitudes and self-efficacy.Frontiers in public health · 2026Article
- How nursing informatization impacts nurses' humanistic caring: a qualitative study based on Social Cognitive Theory.Frontiers in medicine · 2026Article
- Artificial Intelligence Perceptions and Readiness Among Clinical Nurses: A Latent Profile Analysis With Implications for Nursing Management.Journal of nursing management · 2026Article
- Navigating the AI Era: How Perceived Organizational Support Shapes Employees' AI-Related Anxiety via AI Self-Efficacy.Psychology research and behavior management · 2026Article
- Nurses' AI training acceptance and tool usage: a structural equation model of individual and hospital-level factors.Frontiers in public health · 2026Article
- Trust, perceived accuracy, and continued use of patient-facing symptom monitoring applications: Cross-sectional study.Digital healthArticle
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAI learning anxiety and job substitution anxiety hinder the use of AI in healthcare. Primary nurses lack training resources, a strong sense of substitution risk, and weak organizational support. Trust is the key to solving AI anxiety and using AI among primary nurses. Therefore, this study aimed to validate the mediating role of AI trust between AI anxiety and the continuous adoption of artificial intelligence technology.
methodsThis study was a cross-sectional survey, using purposive sampling to select 550 nurses. Measurement tools included a demographic information questionnaire, an AI trust scale, an organizational trust scale, an artificial intelligence anxiety scale, and continuous adoption of an artificial intelligence technology scale.
resultsOrganizational trust and AI trust mediate AI anxiety and continuous adoption of artificial intelligence technology.
conclusionPrimary institutions should enhance AI education and training to alleviate learning anxiety, optimize the human-computer collaboration process to diminish nurses' feelings of substitution, and bolster nurses' AI and organizational trust by fostering organizational support and technological transparency, increasing their willingness to maintain adoption.
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