Improving HbA(1c) with Glucose Self-Monitoring in Diabetic Patients with EpxDiabetes, a Phone Call and Text Message-Based Telemedicine Platform: A Randomized Controlled Trial

Autor: Robert Peters, Will Ross, Carlos Bernal-Mizrachi, Ran Xu, Kavon Javaherian, Maggie Xing
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Telemed J E Health
Popis: Background: We conducted a randomized controlled trial of EpxDiabetes, a novel digital health intervention as an adjunct therapy to reduce HbA(1c) and fasting blood glucose (FBG) among patients with type 2 diabetes mellitus (T2DM). In addition, we examined the effect of social determinants of health on our system. Methods: Sixty-five (n = 65) patients were randomized at a primary care clinic. Self-reported FBG data were collected by EpxDiabetes automated phone calls or text messages. Only intervention group responses were shared with providers, facilitating follow-up and bidirectional communication. ΔHbA(1c) and ΔFBG were analyzed after 6 months. Results: There was an absolute HbA(1c) reduction of 0.69% in the intervention group (95% confidence interval [CI], −1.41 to 0.02) and an absolute reduction of 0.03% in the control group (95% CI, −0.88 to 0.82). For those with baseline HbA(1c) >8%, HbA(1c) decreased significantly by 1.17% in the intervention group (95% CI, −1.90 to −0.44), and decreased by 0.02% in the control group (95% CI, −0.99 to 0.94). FBG decreased in the intervention group by 21.6 mg/dL (95% CI, −37.56 to −5.639), and increased 13.0 mg/dL in the control group (95% CI, −47.67 to 73.69). Engagement (proportion responding to ≥25% of texts or calls over 4 weeks) was 58% for the intervention group (95% CI, 0.373–0.627) and 48% for the control group (95% CI, 0.296–0.621). Smoking, number of comorbidities, and response rate were significant predictors of ΔHbA(1c). Conclusions: EpxDiabetes helps to reduce HbA(1c) in patients with uncontrolled T2DM and fosters patient–provider communication; it has definite merit as an adjunct therapy in diabetes management. Future work will focus on improving the acceptability of the system and implementation on a larger scale trial.
Databáze: OpenAIRE