A Review of Technology-Assisted Interventions for Diabetes Prevention

Grock, Shira; Ku, Jeong-Hee; Kim, Julie; Moin, Tannaz

doi:10.1007/s11892-017-0948-2

Cited by 86 publications

(72 citation statements)

References 51 publications

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“…Although mobile technology is being widely applied in clinical management of a variety of long-term chronic disorders [6,7,10,11,24,25] and also in modifying behaviour patterns such as smoking [26], the number of randomised intermediate and long-term studies in prevention of diabetes is limited. In this 2 year RCT involving 2062 participants with prediabetes recruited in two countries, India and the UK, with different ethnic and socio-cultural backgrounds, we have shown that delivery of a behavioural intervention by mobile technology is feasible.…”

Section: Discussionmentioning

confidence: 99%

A pragmatic and scalable strategy using mobile technology to promote sustained lifestyle changes to prevent type 2 diabetes in India and the UK: a randomised controlled trial

et al. 2020

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Aims/hypothesis This randomised controlled trial was performed in India and the UK in people with prediabetes to study whether mobile phone short message service (SMS) text messages can be used to motivate and educate people to follow lifestyle modifications, to prevent type 2 diabetes. Methods The study was performed in people with prediabetes (n = 2062; control: n = 1031; intervention: n = 1031) defined by HbA 1c ≥42 and ≤47 mmol/mol (≥6.0% and ≤6.4%). Participants were recruited from public and private sector organisations in India (men and women aged 35-55 years) and by the National Health Service (NHS) Health Checks programme in the UK (aged 40-74 years without pre-existing diabetes, cardiovascular disease or kidney disease). Allocation to the study groups was performed using a computergenerated sequence (1:1) in India and by stratified randomisation in permuted blocks in the UK. Investigators in both countries remained blinded throughout the study period. All participants received advice on a healthy lifestyle at baseline. The intervention group in addition received supportive text messages using mobile phone SMS messages 2-3 times per week. Participants were assessed at baseline and at 6, 12 and 24 months. The primary outcome was conversion to type 2 diabetes and secondary outcomes included anthropometry, biochemistry, dietary and physical activity changes, blood pressure and quality of life. Results At the 2 year follow-up (n = 2062; control: n = 1031; intervention: n = 1031), in the intention-to-treat population the HR for development of type 2 diabetes calculated using a discrete-time proportional hazards model was 0.89 (95% CI 0.74, 1.07; p = 0.22). There were no significant differences in the secondary outcomes. Conclusions/interpretation This trial in two countries with varied ethnic and cultural backgrounds showed no significant reduction in the progression to diabetes in 2 years by lifestyle modification using SMS messaging. Trial registration The primary study was registered on www.ClinicalTrials.gov (India, NCT01570946; UK, NCT01795833).

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Section: Discussionmentioning

confidence: 99%

A pragmatic and scalable strategy using mobile technology to promote sustained lifestyle changes to prevent type 2 diabetes in India and the UK: a randomised controlled trial

et al. 2020

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“…This study adds to a growing body of evidence supporting the use of mHealth technology for improving physical activity levels, weight loss, and diabetes prevention [12]. A smartphone/web-based DPP (Alive-PD) that included tailored goal setting, weekly tracking, human-based phone coaching, and twice-weekly DPP curriculum achieved A1C reductions of 0.26% and 3.3 kg weight loss at 6 months [14].…”

Section: Discussionmentioning

confidence: 90%

“…Various digitally-supported interventions have been used for diabetes prevention and weight loss, including email, voice calls, text messaging, web-based applications, mobile apps, activity monitors, and telemedicine [12]. In fact, the Centers for Disease Control and Prevention (CDC) has recently started to recognize virtual programs as valid DPPs [13].…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial (Preprint)

Everett¹,

Kane²,

Yoo³

et al. 2017

Preprint

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Background: Pre-diabetes is a high-risk state for the future development of type 2 diabetes, the latter of which may be prevented through physical activity, adherence to a healthy diet, and weight loss. Mobile health (mHealth) technology is a practical and cost-effective method of delivering diabetes prevention programs in a real-world setting. Sweetch (Sweetch Health, LTD) is a fully automated, personalized, artificial intelligence-based mobile-health platform designed to promote adherence to physical activity and weight reduction in people with prediabetes.

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“…Clearly, attendance continues to be a challenge for these types of programs and future studies should continue to explore strategies to improve overall attendance rates. In particular, the use of automated tracking tools (i.e., Fitbit, pedometers) have shown some early promise (36). Translating research into policy and practice is both a need and a challenge.…”

Section: Discussionmentioning

confidence: 99%

Re-thinking Physical Activity Programs for Older Brazilians and the Role of Public Health Centers: A Randomized Controlled Trial Using the RE-AIM Model

Benedetti

Rech

Konrad

et al. 2020

Front. Public Health

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Background: Explored the role of public health centers in the delivery of physical activity programs to older Brazilians. Methods: Total of 114 older adults (81% women) from public health centers across the city of Florianopolis, Brazil, were randomized into three groups: behavior change group (n = 36), traditional exercise group (n = 52), and control group (n = 26). The behavioral change group included 12 weekly meetings (2 h each). The traditional exercise group offered a 12-week exercise class. Individuals in the control group participated only in measurements. Program evaluation included a mixed-methods approach following the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance). Trained interviewers conducted 12 focus groups and 32 interviews with participants in the program, professionals delivering the programs, community health workers, and local and city administrators overseeing public health centers. Participants completed health, quality of life, and fitness assessments at four time points.

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A Review of Technology-Assisted Interventions for Diabetes Prevention

Cited by 86 publications

References 51 publications

A pragmatic and scalable strategy using mobile technology to promote sustained lifestyle changes to prevent type 2 diabetes in India and the UK: a randomised controlled trial

A pragmatic and scalable strategy using mobile technology to promote sustained lifestyle changes to prevent type 2 diabetes in India and the UK: a randomised controlled trial

A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial (Preprint)

Re-thinking Physical Activity Programs for Older Brazilians and the Role of Public Health Centers: A Randomized Controlled Trial Using the RE-AIM Model

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