Examining Healthcare Providers' Acceptance of Data From Patient Self-Monitoring Devices Using Structural Equation Modeling With the UTAUT2 Model

Abstract

As wide-scale adoption by the market and consumers of ubiquitous devices or mobile apps that track fitness, sleep, nutrition, and basic metabolic parameters increases, it is vital to understand the attitudes of healthcare providers toward these devices. No researcher has previously examined how constructs related to technology acceptance have impacted healthcare providers' behavioral intention for self-monitoring devices (SMD). This was a quantitative, non-experimental study to examine SMD acceptance, intent to use, and other factors important to physicians regarding SMD. Statistical analysis of the data gathered showed that the second version of the Unified Theory of Acceptance and Usage of Technology (UTAUT2) constructs of performance expectancy, hedonic motivation, and price value were positively associated with the behavioral intention of SMD by physicians while effort expectancy and social influence were not. Furthermore, social influence was associated with use, while performance expectancy, effort expectancy, and hedonistic motivation were not. Major positive implications of these findings include: contribution to the body of literature in the health information technology (HIT) arena regarding factors that influence technology acceptance and potential increase in the adoption of SMD among healthcare providers.