Impact of Real-Time Continuous Glucose Monitoring Data Sharing on Quality of Life and Health Outcomes in Adults with Type 1 Diabetes

• Main Authors: Fortmann, A.L (Author), Polonsky, W.H (Author)
• Format: Article
• Language: English
• Published: Mary Ann Liebert Inc. 2021
• Subjects: adult; Adult; antidiabetic agent; Article; Blood Glucose; blood glucose monitoring; Blood Glucose Self-Monitoring; clinical trial; Continuous glucose monitoring; controlled study; data analysis software; Data sharing; Diabetes Mellitus, Type 1; diabetic patient; distress syndrome; family; female; friend; glucose blood level; glycemic control; health care survey; hemoglobin A1c; hemoglobin blood level; human; Humans; hypoglycemia; Hypoglycemic Agents; information dissemination; Information Dissemination; insulin dependent diabetes mellitus; major clinical study; male; Outcome Assessment, Health Care; priority journal; quality of life; Quality of life; Quality of Life; sleep quality; teamwork; Type 1 diabetes; wellbeing
• Online Access: View Fulltext in Publisher

 Background: To examine experiences with real-time continuous glucose monitoring (RT-CGM) data sharing and its impact on health-related outcomes. Methods: Adults with type 1 diabetes (T1D) (N = 302) using the Dexcom G5 Mobile or G6 RT-CGM system and sharing data with ≥1 family/friend follower completed a survey exploring their perceived value of data sharing, the impact of sharing on health and quality of life (QoL) outcomes, and how their chief follower (CF) used shared data to support their diabetes management. Regression analyses examined whether CF actions were linked to reported changes in health and QoL outcomes for the T1D adult. Results: The majority had lived with T1D >10 years, (76.5%), used RT-CGM >1 year (58.0%), and identified their spouse/partner as CF (51.9%). Data sharing reportedly contributed to improved hypoglycemic confidence (for 89.4% of respondents), improved overall well-being (54.3%), and reduced diabetes distress (36.1%). Benefits related to data sharing included fewer episodes of severe hypoglycemia (62.2%), better sleep (52.4%), and A1C improvement (47.3%). In particular, three positive CF actions were independent predictors of health and QoL benefits: celebrating success related to glycemic control, providing encouragement when glycemic control is challenging, and teamwork discussions about how CF should respond to out-of-range values. Conclusions: RT-CGM data sharing was associated with a range of health and QoL-related benefits. The occurrence of benefits was influenced by the collaborative management approaches taken by RT-CGM users and their data-sharing followers. Longitudinal trials are needed to determine the most effective patterns of collaborative data sharing, leading to their implementation into routine diabetes management. © William H. Polonsky and Addie L. Fortmann., 2021; Published by Mary Ann Liebert, Inc. 2021.