Behavioral Change Interventions For Diabetes Management Through Iot Platforms: A Study On Real-Time Feedback And Patient Engagement

Abstract

Purpose – The purpose of this research is to examine the use of IoT platforms to deliver behavioral change interventions for people with Diabetes, with a primary emphasis on the Effectiveness of real-time feedback. The goal is to analyse how several IoT products, like the continuous glucose monitoring device and the smart insulin pens, improve how patients manage their blood sugar levels, make lifestyle changes to their regimens, and verify compliance with treatment regimens.

Research / Methodology /approach – A quantitative research approach was employed in this study, tapping a large survey that was administered to people with Diabetes who employ IoT platforms in managing their Diabetes. The participants were recruited through an online surveying technique using a structured questionnaire, where 164 patient participants were recorded; age, type of Diabetes, and IoT usage frequency of patients would not be homogenous. Self-administered quantitative and qualitative real-time questionnaires were also conducted to assess participants' experiences with real-time feedback, their utility in influencing behaviour change, and the difficulties of engaging in IoT devices.

Findings – The study shows that real-time feedback given by IoT networks leads to increased activity on the part of the patient and contributes to changes in behaviours, including physical activities, diet, and administration of insulin. Those of the participants who were assigned to receive continuous feedback were found to have changed their lifestyles as soon as they began the program and had higher compliance with their diabetes regimes. Some of the challenges that were noted were the cost of the devices, technical issues, and questions about data security. Nevertheless, as this study has shown, there is a prospect of IoT platforms unleashing a new generation of Diabetes self-management based on individual patient control supported by analysis of big data.

Practical Implications – The study indicates that healthcare providers and technology healthcare developers might use the application of IoT platforms in healthcare to enhance the course of diabetes patient's outcomes through the provision of self-monitoring tools that allow real-time monitoring of Diabetes. The implications arising out of these are useful in the design of future IoT gadgets and healthcare models encompassing patient involvement, targeted care, and data protection. The more advanced the IoT technology becomes, the more disruptive it becomes to the diabetes management process and how it helps eliminate complications and increase adherence to treatments while improving patients' quality of life.

Originality/value – This research finds its place in the existing scholarship on the application of IoT in healthcare by offering a clear explanation of how real-time feedback enhances behavioral change in patients with Diabetes. It provides a plethora of information regarding the benefits and concerns that accompany the implementation of IoT platforms for aiding chronic diseases, the importance of creating IoT platforms that are easy to use and secure for patients, as well as the potential to increase the overall quality of life and success of the said platform.