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Application of the Technology Acceptance Model to Predict Nursing Students' Intention to Use Informatics:
Habib Alrashedi1, Nader Alnomasy1, Romeo Jr Mostoles2
1Medical-Surgical Nursing Department, College of Nursing, University of Hail, Baqaa Street, Hail, 55439, Saudi Arabia, 966 0507306911.
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.
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