Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare

Continuous Glucose Monitoring Systems (CGMs) device is the most developed technology, which has reshaped manual diabetes management with smart features having sensor, transmitter and monitor. However, number of users for CGMs still very low compared to existing systems although this provides a landmark in blood glucose monitoring management. Consequently, aspire assessment explore factors that influence users’ intention adopt on Internet Things (IoT) based healthcare. This paper an adoption model by integrating some from different theories studies wearable healthcare devices. The proposed also examines current as guideline device. We have collected data 97 actual users. Partial least square structural equation modelling were involved measurement study. experiential study specifies interpersonal trustworthiness are strong predictors attitude toward device, shows significant relationships use device's adoption. Personal innovativeness no relationship Besides, self-efficacy direct person's health interest where heath directly influences Moreover, perceived value not found be measuring results research provide suggestions developers ensure