E-Health technology acceptance: A meta-analysis

Abstract

Despite the potential benefits of e-health systems in sharing health information, the relationship between technology providers and potential users is inherently complex. This study aims to elucidate the factors driving the acceptance of new technologies among users by synthesizing results on the adoption of e-health technologies using the constructs and relationships outlined in the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Additionally, the impact of moderating variables—including gender, age group, presence of illness, user types, technological application, and publication year—was examined through meta-regression. Significant effects were observed for “Performance Expectancy,” “Effort Expectancy,” and “Social Influence” on “Behavioral Intention,” as well as the influence of “Behavioral Intention” and “Facilitating Conditions” on “Usage Behavior.” Among the tested moderating variables, all except for “age group” demonstrated significant moderation effects in various relationships. This research provides detailed estimates of the factors influencing the acceptance of new health technologies and offers strategic directions for the development of e-health systems, considering user acceptance. It contributes to a deeper understanding of the complex interplay between e-health systems and their users, highlighting the importance of tailored approaches to enhance technology adoption.