Actively Recruiting
WeArable teChnology daTa driVen digitAl healTh cOachINg (ACTIVATION) - A Mixed-methods Study
Led by Alexandra Hospital · Updated on 2025-10-02
1700
Participants Needed
1
Research Sites
13 weeks
Total Duration
On this page
Sponsors
A
Alexandra Hospital
Lead Sponsor
N
National University of Singapore
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are studying how digital health coaching combined with wearable technology can help improve lifestyle behaviors to prevent and manage chronic conditions such as elevated blood pressure, obesity, prediabetes, type 2 diabetes, and hyperlipidemia. The trial focuses on addressing gaps in lifestyle intervention delivery by healthcare providers and explores scalable, personalized support through remote monitoring and feedback. The study is a mixed-methods, randomized trial aiming to evaluate these approaches in adults at risk or with these metabolic-related conditions. Participants are randomly assigned to one of three groups: Group 1 receives a smart watch only; Group 2 receives a smart watch plus access to a dashboard with a nudging system that sends motivational messages; and Group 3 receives a smart watch, the dashboard with nudges, plus remote health coaching from a digital health coach for six months. All participants will wear the Fitbit smart watch for at least eight hours daily over six months while continuing their normal activities. Questionnaires on lifestyle, health, and quality of life are completed at baseline and at several intervals up to 12 months. Throughout the study, participants undergo blood tests if recent results are unavailable to assess blood glucose and lipids. They complete questionnaires at baseline, 3, 6, 9, and 12 months to measure lifestyle changes, quality of life, self-efficacy, and satisfaction with the intervention. Physical activity levels are tracked at baseline, 6, and 12 months. The trial includes safety monitoring and engagement assessments, with participants encouraged to maintain usual care with their healthcare providers. The total participation spans one year with ongoing data collection and follow-up.
CONDITIONS
Brief Title
WeArable teChnology daTa driVen digitAl healTh cOachINg (ACTIVATION)- A Mixed-methods Study
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged between 21 and 75 years
- At risk of elevated blood pressure, overweight (BMI ≥23 kg/m2), or prediabetes
- Or diagnosed with hypertension, obesity (BMI ≥27.5 kg/m2), hyperlipidemia, or type 2 diabetes mellitus
- Own a smartphone
- Willing to wear a smartwatch during the intervention period
You will not qualify if you...
- Medical condition preventing participation in physical activity
- Current diagnosis or history of eating disorder or depression
- Currently pregnant or planning pregnancy within 6 months
- Participating in a weight loss program or using weight loss medications
- Not mentally, physically, or technologically capable
- Unable to provide informed consent
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 screening and enrollment visit
Duration - 6 months
Participants are given a Fitbit Smartwatch to wear for at least 8 hours a day during the 6-month intervention period. Some participants will also receive access to a dashboard with motivational nudges, and others will be assigned a Digital Health Coach providing remote health coaching for 6 months.
Questionnaires at baseline, 3, 6, 9, and 12 months after enrollment
Duration - Up to 12 months from enrollment
Participants continue to be observed for changes in physical activity, lifestyle, and quality of life up to 12 months after enrollment.
Questionnaires at 9 and 12 months after enrollment
Trial Site Locations
Total: 1 location
1
Alexandra Hospital
Singapore, Singapore
Actively Recruiting
Research Team
E
Elya Elya
J
Jacqueline Lau
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
OTHER
Number of Arms
3
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