Internet of Medical Things (IoMT)-Enabled Glucometer-Based Digital Health Framework for Enhancing Self-Monitoring Practices Among Elderly Diabetic Patients in Chennai

Abstract

Introduction: IoMT enables real-time monitoring of patients using devices such as wearable sensors, smart glucometers, heart rate monitors, and automated insulin pumps. Recent advancements in healthcare technology have enabled the development of smarter and more efficient diabetes management systems. This study explores the IoMT-based framework that supports digital integration of self-monitoring blood glucose (SMBG) for effective diabetes care among elderly patients. Methods: A multi-stage stratified cluster sampling technique was employed. Selected hospitals were chosen through random sampling, and eligible elderly diabetic patients were subsequently recruited from these facilities using simple random sampling through inclusion and exclusion criteria. A total of 117 participants were selected. Interview schedule covered Socio-demographic factors, clinical factors, and knowledge and practice of smart glucometer. Data was entered using SPSS version 27.0. Results: Concerning the impact of SMBG on quality of life, the vast majority of participants (95.73%) stated that SMBG had improved their quality of life and notably, none of the participants reported that SMBG had reduced their quality of life.  Conclusion: Regular monitoring of blood glucose, medication adherence, diet, and physical activity contributes to better glycemic control. Enhancing diabetes education, family support, and access to affordable monitoring tools can significantly improve self-care outcomes and quality of life.