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Using an Extended Technology Acceptance Model to Evaluate Digital Health Services.

Diana Akritidi1,2, Parisis Gallos1,2, Vassiliki Koufi2

  • 1Faculty of Nursing, National and Kapodistrian University of Athens, Athens Greece.

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Summary
This summary is machine-generated.

This study introduces an enhanced Technology Acceptance Model (TAM) to evaluate digital health services like the Personal Health Insurance Record (PHIR). User satisfaction, safety, privacy, and ease of use significantly impact adoption of digital health tools.

Keywords:
Digital health services evaluationTechnology Acceptance Model (TAM)safety-privacyuser satisfaction

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Area of Science:

  • Digital Health Evaluation
  • Health Informatics
  • Technology Acceptance Models

Background:

  • Evaluating digital health services is crucial for user satisfaction and quality improvement.
  • Understanding factors influencing citizens' acceptance and intention to use digital health services is essential.
  • The Greek Organization for the Health Care Provision offers the Personal Health Insurance Record (PHIR) digital service.

Purpose of the Study:

  • To propose and validate an enhanced model for evaluating digital health services.
  • To assess the factors influencing the acceptance and intention to use the Personal Health Insurance Record (PHIR).
  • To integrate user satisfaction and safety-privacy into the Technology Acceptance Model (TAM) for digital health evaluation.

Main Methods:

  • The study adapted the Technology Acceptance Model (TAM).
  • Two key factors, user satisfaction and safety-privacy, were added to the TAM.
  • Data analysis was performed to determine the impact of these factors on the intention to use the PHIR service.

Main Results:

  • Perceived usefulness, perceived ease of use, user satisfaction, and safety-privacy significantly influence the intention to use digital health services.
  • User satisfaction and safety-privacy were identified as significant predictors of intention to use.
  • Demographic factors like age and e-service familiarity also play a role in determining usage intention.

Conclusions:

  • The enhanced TAM provides a robust framework for evaluating digital health services.
  • User satisfaction and safety-privacy are critical determinants of digital health service adoption.
  • Future digital health service development should prioritize user experience, security, and privacy to encourage widespread use.