Impact of a Digitally Enhanced Diabetes Self-Management Program on Glycemia and Medical Costs

WhatsApp-based intervention for people with type 2 diabetes: A randomized controlled trial

Diabetes mellitus is a metabolic disease characterized by prolonged elevated blood glucose levels. Diabetes self-management education and support programs are widely used in western countries. The impact of social media education and support interventions such as a WhatsApp-based program and the nurses' role in supporting and implementing this self-management program unclear. Using a WhatsApp-based program, we evaluated the effects of a 6-week program in improving self-efficacy and education among people with type 2 diabetes mellitus in Saudi Arabia. Eligible participants (n = 80) were recruited with the support of nurses into a randomized controlled trial and randomly assigned into self-management intervention and control groups. The intervention group (n = 40) received the self-management program support and the usual care. The control group (n = 40) received only the usual care with nurses' support. Results from generalized estimating equation analysis showed a significant increase in self-efficacy, self-management, and education in the WhatsApp-based intervention support group compared with the control group at 6 and 12 weeks (follow-up). Implementing the program via social media improves self-efficacy. The use of social media platforms should be promoted for global diabetes management.

Long-Term Results of a Digital Diabetes Self-Management and Education Support Program Among Adults With Type 2 Diabetes: A Retrospective Cohort Study

PURPOSE

The purpose of this study is to examine the long-term impact of a digital diabetes self-management education and support (DSMES) program on A1C among adults with type 2 diabetes (T2DM).

METHODS

Data analyzed were from a retrospective cohort of commercially insured members with T2DM enrolled in the Omada for Diabetes program between January 1, 2019, and January 31, 2022 (n = 1,322). Linear mixed models measured changes in A1C and weight across 12 months (collected at baseline and every 3 months over 1 year) overall and stratified by A1C at baseline (≥8% vs <8%).

RESULTS

On average, members were 53.5 years old, 56.9% female, and 71.5% White, with a mean baseline body mass index (BMI) of 36.9 and A1C of 7.6%. Members with baseline A1C ≥8% demonstrated clinically and statistically significant adjusted mean reductions in A1C during follow-up, from 9.48% at baseline to 7.33%, 7.57%, 7.59%, and 7.47% at 3, 6, 9, and 12 months, respectively. Those with A1C <8% maintained glycemic stability (6.73%, 6.50%, 6.54%, 6.62%, and 6.51%, respectively). Collectively, members experienced a -1.17 kg/m2 mean reduction in BMI over 12 months.

CONCLUSIONS

This study provides real-world evidence that members with elevated baseline A1C (≥8%) enrolled in a digital DSMES program experienced clinically meaningful and statistically significant reductions in A1C. Those with baseline A1C within goal treatment range (<8%) maintained glycemic stability over 1 year. The findings support existing evidence that scalable digital DSMES solutions can help individuals with T2DM manage their condition.