Application of the Technology Acceptance Model to Predict Nursing Students’ Intention to Use Informatics: A Cross-Sectional Study
ABSTRACT
Background:
The importance of nursing informatics for digital health transformation is paramount; however, the technology acceptance of undergraduate students in Saudi Arabia has not been explored sufficiently.
Objective:
This study aimed to determine the parameters that influence nursing students’ intention to use informatic technologies grounded in the Technology Acceptance Model (TAM).
Methods:
A cross-sectional survey was administered to a sample of 132 undergraduate nursing students. Data analysis was descriptive, correlational, and hierarchical regression analysis.
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 = .87; β = 0.323 for usefulness, p < .001; β = 0.195 for ease of use, p = .032). Social Influence (β = -0.007, p = .896), Sustainability (β = 0.113, p = .200), and Engagement (β = 0.185, p = .276) were not significant. Only 25.8% of students often used Electronic Health Records; 31.8% had no electronic health record (HER) experience, indicating a clear gap in practical informatics exposure.
Conclusions:
To prepare students for technology-based practice, the curriculum needs to be reformed to include practical, user-centered informatics training and clinical simulation. It is crucial to facilitate personal perceptions of technology usability and utility to promote higher levels of adoption to correspond with national digital health objectives. Clinical Trial: NA
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