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

Clinical Snapshot

Key Findings

• P Value: P<0.001 for perceived usefulness; P=0.032 for perceived ease of use

• Effect Size: R²=0.87 (87% variance explained by perceived usefulness and ease of use)

• Primary Outcome: Intention to use nursing informatics technologies

• Nnt Or Sensitivity: β=0.323 for usefulness, β=0.195 for ease of use; 25.8% frequent EHR users, 31.8% no EHR experience

• Confidence Interval: Not reported in abstract

Clinical Application

Findings support curriculum integration of user-centered informatics training and clinical simulation Relevant for Australian nursing education given similar technology adoption challenges, though cultural adaptation needed. Aligns with ANMAC standards for nursing informatics competency Undergraduate nursing students, particularly in developing healthcare technology contexts

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.

References

1. 1.Alrashedi, H., Alnomasy, N., & Mostoles, R. (2024). Application of the Technology Acceptance Model to Predict Nursing Students' Intention to Use Informatics: Cross-Sectional Study. JMIR Nursing. https://doi.org/10.1016/j.heliyon.2024.e27067