ArticleDigital health
Knowledge, attitudes, practices, and barriers of artificial intelligence as predictors of intent to stay among nurses: A cross-sectional study.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement.Frontiers in digital health · 2026Pooled it
- Artificial intelligence in nursing: a systematic review of attitudes, literacy, readiness, and adoption intentions among nursing students and practicing nurses.Frontiers in digital health · 2025Pooled it
- A concept analysis of artificial intelligence anxiety among nurses based on Walker and Avant's method.BMC nursing · 2026Article
- Knowledge, attitudes, practices and ethics related to artificial intelligence among nursing students: a national cross-sectional survey in China.BMC nursing · 2026Article
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- Patient attitudes toward artificial intelligence in Jordanian Healthcare: A cross-sectional survey study.PLOS digital health · 2026Article
- Understanding AI adoption in medical education: Insights from students and faculty members in Indonesian medical schools.Journal of education and health promotion · 2026Article
- Sociodemographic factors, anxiety and attitudes toward generative artificial intelligence among nurses.Frontiers in psychiatry · 2026Article
- Nurses perceptions and use of artificial intelligence in healthcare.Scientific reports · 2025Article
- Perspectives on AI-Driven Nursing Science Among Nursing Professionals from China: A Qualitative Study.Nursing reports (Pavia, Italy) · 2025Article
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Integrating artificial intelligence (AI) in healthcare presents significant opportunities and challenges for nurses and other healthcare professionals. AI adoption may influence nurses' work environment and overall healthcare. This study aimed to describe the level of knowledge, attitudes, practices, and barriers of AI among nurses in Jordan and describe their influence on nurses' intent to stay in their job positions. Methods: A descriptive correlational cross-sectional study was conducted among nurses working in governmental hospitals in Jordan. Data were collected using two validated instruments and were analyzed using descriptive statistics, Pearson correlation, and multivariate regression. Results: The results showed that the mean scores of AI knowledge, attitudes, practices, barriers, and intent to stay were as follows: 3.91 (0.67), 4.15 (0.51), 3.98 (0.56), 3.93 (0.62), and 4.17 (0.49), respectively. While AI attitudes ( Conclusion: A positive attitude and practical engagement with AI Could significantly enhance nurses' intent to stay, while barriers undermine retention. Addressing these factors through targeted training and policy reforms is crucial for nursing workforce stability.
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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.