Application of the Technology Acceptance Model to Predict Nursing Students' Intention to Use Informatics: Cross-Sectional Study.

IF 4
JMIR nursing Pub Date : 2026-04-13 DOI:10.2196/85385
Habib Alrashedi, Nader Alnomasy, Romeo Jr Mostoles
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引用次数: 0

Abstract

Background: Nursing informatics is essential for digital health transformation; however, the technology acceptance of undergraduate nursing students in Saudi Arabia remains underexplored.

Objective: This study examined factors influencing nursing students' intention to use informatics technologies using the technology acceptance model.

Methods: A cross-sectional survey was conducted with 132 undergraduate nursing students. Data were analyzed using descriptive, correlational, and hierarchical regression analyses.

Results: Perceived usefulness (mean 3.68, SD 1.22) and perceived ease of use (mean 3.64, SD 1.32) were the strongest predictors of acceptance, together explaining 87% of the variance (R²=0.87; β=0.323 for usefulness, P<.001; β=0.195 for ease of use, P=.032). Only 25.8% (n=34) of the students often used electronic health records, while 31.8% (n=42) had no electronic health record experience, indicating a clear gap in practical informatics exposure.

Conclusions: Nursing students' acceptance of informatics is primarily driven by its perceived usefulness and perceived ease of use. These findings highlight the urgent need to integrate practical, user-centered informatics training and clinical simulation into undergraduate nursing curricula to better prepare students for technology-based practice.

应用技术接受模型预测护生使用资讯科技的意向:横断面研究。
背景:护理信息学是数字化健康转型的关键;然而,沙特阿拉伯本科护理学生对技术的接受程度仍未得到充分探索。目的:采用技术接受模型探讨护生使用信息技术意愿的影响因素。方法:对132名护理本科学生进行横断面调查。数据分析采用描述性、相关性和层次回归分析。结果:感知有用性(mean 3.68, SD 1.22)和感知易用性(mean 3.64, SD 1.32)是信息学接受度的最强预测因子,共同解释了87%的方差(R²=0.87;β=0.323)。结论:护生对信息学的接受度主要由感知有用性和感知易用性驱动。这些发现突出了迫切需要将实用的、以用户为中心的信息学培训和临床模拟整合到本科护理课程中,以更好地为学生做好以技术为基础的实践准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.20
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审稿时长
16 weeks
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