Modeling Factors Affecting Physicians' Acceptance of E-Prescriptions Using Structural Equation Modeling-Partial Least...

Area of Science:

• Health Informatics
• Technology Acceptance Models
• Medical Practice Management

Background:

• Electronic prescription (e-prescription) systems are crucial for modern health information systems.
• Physician acceptance is a key determinant of e-prescription system success.
• Understanding factors influencing adoption is vital for effective implementation.

Purpose of the Study:

• To identify key factors influencing physicians' acceptance of e-prescription systems.
• To apply a partial least squares structural equation modeling (PLS-SEM) approach.
• To integrate constructs from the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT), and Health Belief Model (HBM).

Main Methods:

• A cross-sectional descriptive-analytical study design was employed.
• A validated researcher-developed questionnaire based on TAM, IDT, and HBM was used.
• Data from 123 family physicians were analyzed using PLS-SEM.

Main Results:

• Relative advantage, compatibility, and perceived ease of use positively influenced perceived usefulness and benefits.
• Perceived usefulness and benefits strongly predicted behavioral intention and e-prescription acceptance.
• Cues to action did not significantly impact behavioral intention.

Conclusions:

• Health policymakers should focus on enhancing system usability and usefulness for physicians.
• Improving training, system design, and promoting benefits are crucial for e-prescription adoption.
• Addressing physicians' needs and feedback is essential for successful implementation.