Health Information Management Research Center (HIMRC), Kashan University of Medical Sciences, Kashan, Iran.
Department of Health Information Management & Technology, Allied Medical Sciences Faculty, Kashan University of Medical Sciences, Kashan, Iran.
JMIR Hum Factors. 2024 Sep 17;11:e55324. doi: 10.2196/55324.
The use of mobile tools in nursing care is indispensable. Given the importance of nurses' acceptance of these tools in delivering effective care, this issue requires greater attention.
This study aims to design the Mobile Health Tool Acceptance Scale for Nurses based on the Expectation-Confirmation Theory and to evaluate it psychometrically.
Using a Waltz-based approach grounded in existing tools and the constructs of the Expectation-Confirmation Theory, the initial version of the scale was designed and evaluated for face and content validity. Construct validity was examined through exploratory factor analysis, concurrent validity, and known-group comparison. Reliability was assessed using measures of internal consistency and stability.
The initial version of the scale consisted of 33 items. During the qualitative and quantitative content validity stage, 1 item was added and 1 item was removed. Exploratory factor analysis, retaining 33 items, identified 5 factors that explained 70.53% of the variance. A significant positive correlation was found between the scores of the designed tool and nurses' attitudes toward using mobile-based apps in nursing care (r=0.655, P<.001). The intraclass correlation coefficient, Cronbach α, and ω coefficient were 0.938, 0.953, and 0.907, respectively.
The 33-item scale developed is a valid and reliable instrument for measuring nurses' acceptance of mobile health tools.
移动工具在护理中的应用是不可或缺的。鉴于护士对这些工具在提供有效护理方面的接受程度的重要性,这一问题需要引起更多的关注。
本研究旨在基于期望确认理论设计护士移动健康工具接受度量表,并对其进行心理计量学评估。
采用基于 Waltz 的方法,以现有工具和期望确认理论的构念为基础,设计并评估量表的表面和内容效度。通过探索性因子分析、同时效度和已知组比较来检验构念效度。使用内部一致性和稳定性测量来评估信度。
量表的初始版本由 33 个项目组成。在定性和定量内容效度阶段,增加了 1 个项目,删除了 1 个项目。探索性因子分析保留 33 个项目,确定了 5 个因子,解释了 70.53%的方差。设计工具的得分与护士对在护理中使用基于移动设备的应用程序的态度之间存在显著正相关(r=0.655,P<.001)。内部一致性系数、Cronbach α 和 ω 系数分别为 0.938、0.953 和 0.907。
开发的 33 项量表是一种有效的、可靠的测量护士对移动健康工具接受度的工具。