Mobile Health Biometrics to Enhance Exercise and Physical Activity Adherence in Type 2 Diabetes (MOTIVATE-T2D): a decentralised feasibility randomised controlled trial delivered across the UK and Canada
Bibliographic record
Abstract
OBJECTIVES: Assess the feasibility of a mobile health (mHealth)-supported home-delivered physical activity (PA) intervention (MOTIVATE-T2D) in people with recently diagnosed type 2 diabetes (T2D). DESIGN: Feasibility multicentre, parallel group, randomised controlled trial (RCT). SETTING: Participants were recruited from England and Canada using a decentralised design. PARTICIPANTS: Adults (40-75 years) recently diagnosed with T2D (5-24 months). INTERVENTIONS: Participants were randomised 1:1 to intervention (MOTIVATE-T2D) or active control groups. Participants codesigned 6month- home-delivered, personalised, progressive PA programmes supported by virtual behavioural counselling. MOTIVATE-T2D used biofeedback from wearable technologies to support the programme. The active control group received the same intervention without wearables. OUTCOMES: The primary outcomes were recruitment rate, retention and adherence to purposeful exercise. Clinical data on effectiveness were collected as exploratory outcomes at baseline, 6 and 12 months, with HbA1c and systolic blood pressure (BP) proposed as primary outcomes for a future full RCT. RESULTS: n=135 eligible participants expressed an interest in the trial, resulting in 125 participants randomised (age 55±9 years, 48% female, 81% white), a recruitment rate of 93%. Retention at 12 months was 82%. MOTIVATE-T2D participants were more likely to start (OR 10.4, CI 3.4 to 32.1) and maintain purposeful exercise at 6 (OR 7.1, CI 3.2 to 15.7) and 12 months (OR 2.9, CI 1.2 to 7.4). Exploratory clinical outcomes showed a potential effect in favour of MOTIVATE-T2D, including proposed primary outcomes HbA1c and systolic BP (between-group mean differences: HbA1c: 6 months: -5% change from baseline, CI -10 to 2: 12 months: -2% change from baseline, CI -8 to -4; systolic BP: 6 months: -1 mm Hg, CI -5 to 3: 12 months: -4 mm Hg, CI -8 to 1). CONCLUSIONS: Our findings support the feasibility of delivering the MOTIVATE-T2D mHealth-supported PA intervention for people with recently diagnosed T2D and progression to a full RCT to examine its clinical and cost-effectiveness. TRIAL REGISTRATION NUMBER: ISRCTN: 14335124; ClinicalTrials.gov: NCT0465353.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".