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Determining Factors Affecting Nurses' Acceptance of a Care Plan System Using a Modified Technology Acceptance Model
Kuei-Fang Ho1,2, Pi-Chen Chang2, Maria Dyah Kurniasari2,3
1Department of Nursing, Ching Kuo Institute of Management and Health, Keelung, Taiwan.
JMIR Medical Informatics
|May 6, 2020
Summary
Nurses’ acceptance of care plan systems is influenced by subjective norms, ease of use, and usefulness. This study validates a modified Technology Acceptance Model 3 (TAM3) for understanding health information technology adoption in nursing.
Area of Science:
- Nursing Informatics
- Health Information Technology Adoption
- Human-Computer Interaction
Background:
- Holistic patient care planning is crucial for quality, patient-centered care.
- Health information technology is widely used in global nursing practice.
- Limited research exists on user acceptance of electronic care plan systems.
Purpose of the Study:
- To explore determinants of care plan system acceptance among clinical nurses.
- To adapt and apply the Technology Acceptance Model 3 (TAM3) in a healthcare context.
- To identify factors influencing nurses' behavioral intention to use care plan systems.
Main Methods:
- Cross-sectional quantitative study with 222 nurses in Taiwan.
- Utilized a modified TAM3 framework.
- Employed structural equation modeling (SEM) and moderated multiple regression analysis.
Main Results:
- Perceived usefulness and ease of use significantly impacted their respective perceptions.
- Subjective norm (β=.25), perceived ease of use (β=.32), and perceived usefulness (β=.31) positively influenced behavioral intention.
- These factors explained 69% of the variance in behavioral intention to use the system.
Conclusions:
- The modified TAM3 effectively explains nurses' acceptance of care plan systems.
- Understanding these determinants is key for enhancing health information technology adoption in nursing.
- The study provides an innovative assessment tool for managers evaluating technology implementation.
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