EXPLORING THE EFFICACY OF DIGITAL BIOMARKERS AND TOOLS IN IMPROVING DIABETES SELF MANAGEMENT
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Abstract
Digital biomarkers and tools are increasingly being integrated into diabetes care, offering potential improvements in patient monitoring, self-management, and health outcomes. However, research into their adoption, effectiveness, and impact on clinical is ongoing and requires more widespread investigation. This study aimed to evaluate the current usage of digital biomarkers in diabetes care, assess healthcare providers' perceptions of their effectiveness and reliability, examine their impact on selfmanagement and health outcomes, identify barriers and facilitators to adoption, and explore their integration into routine care. These aims were addressed using a Google form-based online survey which was circulated to professionals working in the areas of diabetes care and digital health technology. The survey included questions relating to demographics, usage patterns, perceptions of effectiveness, impact on patient care, and future potential. Chi-squared tests were used to analyze the distribution of responses across various categories. Continuous Glucose Monitors (CGM) were the most commonly used tool (24% exclusive use). While 68% of respondents rated digital tools as quite or extremely effective, with monitoring as the primary benefit (52%), 88% reported a significant reduction in in-person consultations. 98% of respondents agreed on improvements in patient management. Accuracy and data quality were highlighted as key areas for improvement. 86% of respondents believed digital tools could potentially replace traditional methods of diabetes management. In conclusion, this study highlights the transformative potential of digital biomarkers in diabetes care delivery and emphasizes the importance of addressing barriers to optimize their integration into routine clinical practice