Understanding the Predictors of Actual Use Behavior of Medical Devices among Kenyans post-COVID-19. The Moderating Effects of Technology Anxiety and Resistance to Change

Abstract

COVID-19 has provided a solid basis for the diversification of healthcare delivery by incorporating medical technologies into healthcare, especially in developing countries. However, knowledge on the predictors of actual use behavior of medical technologies post-COVID-19 remains scarce. This study, therefore, seeks to provide an overview of the determinants of actual use behavior (AUB) of medical devices among Kenyans post-COVID-19 by using the extended Uni?ed Theory of Acceptance and Use of Technology (UTAUT2) model. Data were collected from the people of Kenya using structured questionnaires. Two hundred and twelve (212) responses were used for the analysis by applying the Partial Least Squares based on Structural Equation Modeling. The results showed a signi?cant positive relationship between FC and AUB (p < 0.000). Other predictors such as social in?uence, effort expectancy, and resistance to change were also found to signi?cantly impact the actual use behavior of medical devices among Kenyans post-COVID-19. Although the relationship between technology anxiety and actual use behavior was not significant in this study, it had a negative impact, influencing the actual use behavior of medical devices. Based on the ?ndings of this study, stakeholders need to create the necessary conditions to facilitate the adoption and use of medical devices, as this will boost the adoption and utilization of medical devices, which will help improve the quality of life among Kenyans post-COVID-19.