A Wearable Technology Delivering a Web-Based Diabetes Prevention Program to People at High Risk of Type 2 Diabetes: Randomized Controlled Trial

Emily Staite, Adam Bayley, Ebaa Al-Ozairi, Kurtis Stewart, David Hopkins, Jennifer Rundle, Neel Basudev, Zahra Mohamedali, Khalida Ismail, Emily Staite, Adam Bayley, Ebaa Al-Ozairi, Kurtis Stewart, David Hopkins, Jennifer Rundle, Neel Basudev, Zahra Mohamedali, Khalida Ismail

Abstract

Background: Intensive lifestyle interventions are effective in reducing the risk of type 2 diabetes, but the implementation of learnings from landmark studies is expensive and time consuming. The availability of digital lifestyle interventions is increasing, but evidence of their effectiveness is limited.

Objective: This randomized controlled trial (RCT) aimed to test the feasibility of a web-based diabetes prevention program (DPP) with step-dependent feedback messages versus a standard web-based DPP in people with prediabetes.

Methods: We employed a two-arm, parallel, single-blind RCT for people at high risk of developing diabetes. Patients with a hemoglobin A1c (HbA1c) level of 39-47 mmol/mol were recruited from 21 general practices in London. The intervention integrated a smartphone app delivering a web-based DPP course with SMS texts incorporating motivational interviewing techniques and step-dependent feedback messages delivered via a wearable device over 12 months. The control group received the wearable technology and access to the web-based DDP but not the SMS texts. As this was a feasibility study, the primary aim was to estimate potential sample size at different stages of the study, including the size of the target study population and the proportion of participants who consented, were randomized, and completed follow-up. We also measured the main outcomes for a full-scale RCT, namely, change in weight and physical activity at 6- and 12-month follow-ups, and secondary outcomes, including changes in the HbA1c level, blood pressure, waist circumference, waist-to-hip ratio, and lipid levels.

Results: We enrolled 200 participants: 98 were randomized to the intervention and 102 were randomized to the control group. The follow-up rate was higher in the control group (87/102, 85.3%) than in the intervention group (69/98, 70%) at 12 months. There was no treatment effect on weight at 6 months (mean difference 0.15; 95% CI -0.93 to 1.23) or 12 months (mean difference 0.07 kg; 95% CI -1.29 to 1.44) or for physical activity levels at 6 months (mean difference -382.90 steps; 95% CI -860.65 to 94.85) or 12 months (mean difference 92.64 steps; 95% CI -380.92 to 566.20). We did not observe a treatment effect on the secondary outcomes measured at the 6-month or 12-month follow-up. For the intervention group, the mean weight was 92.33 (SD 15.67) kg at baseline, 91.34 (SD 16.04) kg at 6 months, and 89.41 (SD 14.93) kg at 12 months. For the control group, the mean weight was 92.59 (SD 17.43) kg at baseline, 91.71 (SD 16.48) kg at 6 months, and 91.10 (SD 15.82) kg at 12 months. In the intervention group, the mean physical activity was 7308.40 (SD 4911.93) steps at baseline, 5008.76 (SD 2733.22) steps at 6 months, and 4814.66 (SD 3419.65) steps at 12 months. In the control group, the mean physical activity was 7599.28 (SD 3881.04) steps at baseline, 6148.83 (SD 3433.77) steps at 6 months, and 5006.30 (SD 3681.1) steps at 12 months.

Conclusions: This study demonstrates that it is feasible to successfully recruit and retain patients in an RCT of a web-based DPP.

Trial registration: ClinicalTrials.gov NCT02919397; https://ichgcp.net/clinical-trials-registry/NCT02919397.

Keywords: diabetes prevention program; lifestyle; mobile phone; motivational interviewing; theory of planned behavior; type 2 diabetes mellitus; wearable technology.

Conflict of interest statement

Conflicts of Interest: None declared.

©Emily Staite, Adam Bayley, Ebaa Al-Ozairi, Kurtis Stewart, David Hopkins, Jennifer Rundle, Neel Basudev, Zahra Mohamedali, Khalida Ismail. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 15.07.2020.

Figures

Figure 1
Figure 1
Participant flow diagram.

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