Determinants of Computer Technology Adoption in Nursing Practice: A Technology Acceptance Model-Based Cross-Sectional Study

Abstract

Background: Computer technology has become an integral component of modern nursing practice, supporting clinical documentation, communication, decision-making, improving efficiency, accuracy and patient safety.
Aim: The aim of this survey was to determine the key factors influencing adoption of computer technology in nursing practice, with a comparative focus on cognitive instrumental and social influence approaches.
Methods & sample: A cross-sectional study was conducted among registered nurses working in public and private hospitals. Data were collected using a structured self-administered electronic questionnaire based on the Technology Acceptance Model. After data screening, 146 completed questionnaires were included in the analysis. Descriptive statistics, Cronbach's alpha, Pearson correlation analysis, and multiple linear regression were performed using Python.
Results: All study constructs demonstrated satisfactory internal consistency, with Cronbach's alpha coefficients ranging from 0.774 to 0.913. Subjective norm had the highest mean score (3.71 ± 0.89), whereas perceived ease of use had the lowest mean score (3.20 ± 0.82). Correlation analysis showed significant positive associations among all study constructs. Multiple linear regression revealed that perceived ease of use (B = 0.232, p = 0.001), facilitating conditions (B = 0.221, p = 0.001), and subjective norm (B = 0.161, p = 0.040) were significant predictors of actual computer technology use. Perceived usefulness was not independently associated with actual use (B = 0.067, p = 0.380). The regression model explained 46.0% of the variance in actual computer technology use (R² = 0.460).
Conclusion & Recommendation: Computer technology adoption among nurses is primarily influenced by system usability, organizational support, and social influence rather than perceived usefulness alone. Healthcare organizations should prioritize user-friendly technologies, strengthen technical infrastructure, and provide continuous training and managerial support to enhance nurses' adoption of computer technology.