Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Jul 30, 2019
Date Accepted: Feb 24, 2020
Determining Factors Affecting Nurses’ Acceptance of a Care Plan System Using a Modified Technology Acceptance Model：A Structural Equation Model with Cross-sectional Data
ABSTRACT
Background:
Health information technology (HIT) is applied to assist nursing practice worldwide, and holistic patient care planning can serve as a major guide for nursing practice to ensure quality in patient-centered care. However, few studies have thoroughly analyzed users’ acceptance of care plan systems (CPSs) to establish individual plans.
Objective:
Based on technology acceptance model (TAM) 3, this study developed a TAM to explore what determines acceptance of CPSs by nurses in clinical settings.
Methods:
Cross-sectional quantitative data were obtained from 222 nurses at eight hospitals affiliated with public organizations in Taiwan. Using the modified TAM 3, the collected data were employed to analyze determinants of user acceptance of a CPS through structural equation modeling (SEM). We also employed moderated multiple regression analysis and partial least squares–SEM to test moderating effects.
Results:
We verified all significant effects of using the CPS among bivariate patterns in the modified TAM 3 except for moderating effects. Our results revealed that determinants of perceived usefulness (PU) and perceived ease of use (PEOU) significantly influenced PU and PEOU respectively. The results also indicated that nurses’ perceptions of subjective norm (β = 0.25, p < 0.001), PEOU (β = 0.32, p < 0.001), and PU (β = 0.31, p < 0.001) had significant and strong positive effects on behavioral intention to use the CPS, accounting for 69% of the total explained variance.
Conclusions:
By exploring nurses’ acceptance of the CPS, this study revealed relationships among the variables by using TAM 3. Our results verify the modified TAM 3 as an innovative assessment instrument to help managers understand nurses’ perceptions of HIT in nursing settings; thus, the results could increase employment and enhance the work performance of HIT in nursing practice. Clinical Trial: N/A
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