He Danni, Yao Jiani, Qi Wenhao, Cao Shihua, Chen Yanfei, Zhu Xiaohong, Lou Xiajing, Chen Xiaomin, Lin Xin, Feng Yaping, Fu Xiaoli, Ning Li, Wang Shuyuan, Liu Yan
School of Nursing, Hangzhou Normal University, Hangzhou, China.
Zhejiang Provincial People's Hospital, Hangzhou, China.
J Clin Nurs. 2025 Jun;34(6):2225-2235. doi: 10.1111/jocn.17406. Epub 2024 Sep 17.
In China, nursing information systems (NIS) implementation can face numerous barriers to acceptance, including the attitudes of potential users. However, few studies have evaluated this acceptance.
The aim of this study was to explain the acceptance of NIS utilizing a survey based on unified theory of acceptance and use of technology.
A multi-center cross-sectional study utilizing an online survey was conducted. SPSS AMOS was used to conduct a structural equation modelling analysis. This research followed the STROBE Checklist.
A total of 3973 Nurses participated in the study between January 2023 and March 2023. The acceptance of NIS among nurses was overall moderate to high. The proposed model has been rigorously tested and validated using empirical data, ensuring its credibility and dependability. Performance expectancy (PE), social influence (SI), and attitude significantly and positively affected intentions to use NIS. Effort expectancy (EE) did not show any significant effects in the sample. Facilitating conditions (FCs) was found to have a negative relationship with the intention to use NIS. There was a statistically significant difference BI between the different age groups, working years, and computer training experience. The model demonstrates a good fit with the observed data.
This study identified PE, SI, and attitude as facilitators of nurses' intentions to use NIS. The findings about EE indicates that the ease of using NIS does not seem to be a concern among nurses. Moreover, high FC might be perceived as indicative of a complex system or extensive usage, that can lead to increased workload and reduced behavioural intention (BI). The significant differences in BI among various demographic groups highlight the need for more studies understanding the preferences and barriers faced by different, levels of experience and training backgrounds.
No patient or public contribution.
在中国，护理信息系统（NIS）的实施可能面临诸多接受障碍，包括潜在用户的态度。然而，很少有研究评估这种接受情况。
本研究旨在利用基于技术接受与使用统一理论的调查来解释对NIS的接受情况。
采用在线调查进行多中心横断面研究。使用SPSS AMOS进行结构方程建模分析。本研究遵循STROBE清单。
2023年1月至2023年3月期间，共有3973名护士参与了该研究。护士对NIS的接受程度总体为中等至高。所提出的模型已使用实证数据进行了严格测试和验证，确保了其可信度和可靠性。绩效期望（PE）、社会影响（SI）和态度对使用NIS的意愿有显著的正向影响。努力期望（EE）在样本中未显示出任何显著影响。发现促进条件（FCs）与使用NIS的意愿呈负相关。不同年龄组、工作年限和计算机培训经历之间的行为意向（BI）存在统计学显著差异。该模型与观测数据拟合良好。
本研究确定PE、SI和态度是护士使用NIS意愿的促进因素。关于EE的研究结果表明，NIS的易用性似乎不是护士所关心的问题。此外，高FC可能被视为系统复杂或使用广泛的标志，这可能导致工作量增加和行为意向（BI）降低。不同人口统计学组之间BI的显著差异凸显了需要更多研究来了解不同经验和培训背景水平所面临的偏好和障碍。
无患者或公众贡献。
