Chen Zhi, Wu Tongxi, Wu Xingxing, Wang Jinjia, Ke Shufen, Li Hong, Lin Rong
The School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, Minhou County, Fuzhou, Fujian Province, 350122, China.
The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Taijiang District, Fuzhou, Fujian Province, 350005, China.
BMC Nurs. 2025 Jul 29;24(1):989. doi: 10.1186/s12912-025-03577-w.
Attitude toward the usage of artificial intelligence in nursing directly affect nurses' technology adoption behavior. Positive attitude toward the usage of artificial intelligence can help nurses analyze large data sets and propose potential diagnoses, thereby improving diagnostic accuracy. Empirical studies have shown that there is a potential association between eHealth literacy, technology trust, perceived value, and attitude toward the usage of artificial intelligence. This study aims to explore the mediating role of technology trust and perceived value in the relationship between eHealth literacy and attitude toward the usage of artificial intelligence in nursing.
This study used a cross-sectional survey design and a self-administered online questionnaire collection platform to conduct an online survey of 564 registered nurses (clinical nurses) in Fuzhou, Fujian Province, China from March to April, 2025. The online survey was conducted in accordance with the Checklist for Reporting Results of Internet Electronic Surveys. Descriptive analysis, Harman univariate analysis, Pearson correlation test, structural equation model, and bootstrap method were used for data analysis.
Bivariate correlation analysis found that eHealth literacy, technology trust, perceived value and artificial intelligence were positively correlated (r = 0.399 ~ 0.637, P < 0.001). Perceived value played a partial mediating role in the relationship between eHealth literacy and attitude toward the usage of artificial intelligence. Technology trust and perceived value played a chain-mediation role between eHealth literacy and attitude toward the usage of artificial intelligence.
eHealth literacy was found to positively predict nurses' attitudes toward the use of AI, both directly and indirectly. These findings provide a theoretical foundation for the development of nursing AI training programs and the design of clinically applicable AI systems, contributing to a better alignment between technological innovation and the practical needs of nursing care.
Not applicable.
护士对人工智能应用的态度直接影响其技术采纳行为。对人工智能应用持积极态度有助于护士分析大数据集并提出潜在诊断，从而提高诊断准确性。实证研究表明，电子健康素养、技术信任、感知价值与对人工智能应用的态度之间存在潜在关联。本研究旨在探讨技术信任和感知价值在电子健康素养与护士对人工智能应用态度之间关系中的中介作用。
本研究采用横断面调查设计，通过自填式在线问卷收集平台，于2025年3月至4月对中国福建省福州市的564名注册护士（临床护士）进行在线调查。在线调查按照《互联网电子调查结果报告清单》进行。采用描述性分析、哈曼单变量分析、皮尔逊相关检验、结构方程模型和Bootstrap法进行数据分析。
双变量相关分析发现，电子健康素养、技术信任、感知价值与对人工智能的态度呈正相关（r = 0.399～0.637，P < 0.001）。感知价值在电子健康素养与对人工智能应用态度的关系中起部分中介作用。技术信任和感知价值在电子健康素养与对人工智能应用态度之间起链式中介作用。
研究发现电子健康素养直接和间接地正向预测护士对人工智能使用的态度。这些发现为护理人工智能培训项目的开发和临床适用人工智能系统的设计提供了理论基础，有助于使技术创新与护理实践需求更好地契合。
不适用。
