Diabetes

Comparing the Effects of Diabetes-Specific and Overall Medication Regimen Complexity on Diabetes Distress

Purpose: The purpose of this study was to examine the association between diabetes-specific and overall medication regimen complexity and diabetes distress among adults with type 2 diabetes. Methods: This study examined data from 220 patients with type 2 diabetes and hypertension and persistently elevated A1C, who were recruited for a remote monitoring-enabled telehealth trial (Clinicaltrials.gov…

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Diabetes Self-Management in the Digital Health Era: A Concept Analysis Using Natural Language Processing

Diabetes self-management is increasingly shaped by digital health technologies, yet existing conceptual definitions do not fully reflect this evolving landscape. This study aimed to refine the concept of diabetes self-management in the digital health era by applying Rodgers’ evolutionary method integrated with Natural Language Processing (NLP). Ninety-seven studies were analyzed through a dual-phase design combining…

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Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept

Diabetes prevalence continues to grow and there remains a significant diagnostic gap in one-third of the US population that has pre-diabetes. Innovative, practical strategies to improve monitoring of glycemic health are desperately needed. In this proof-of-concept study, we explore the relationship between non-invasive wearables and glycemic metrics and demonstrate the feasibility of using non-invasive wearables…

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Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches

Prediabetes affects one in three people and has a 10% annual conversion rate to type 2 diabetes without lifestyle or medical interventions. Management of glycemic health is essential to prevent progression to type 2 diabetes. However, there is currently no commercially-available and noninvasive method for monitoring glycemic health to aid in self-management of prediabetes. There…

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Assessment of ownership of smart devices and the acceptability of digital health data sharing

Smart portable devices- smartphones and smartwatches- are rapidly being adopted by the general population, which has brought forward an opportunity to use the large volumes of physiological, behavioral, and activity data continuously being collected by these devices in naturalistic settings to perform research, monitor health, and track disease. While these data can serve to revolutionize…

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Diabetes Watch: Tuning Into Your Body’s Sweet Signals

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