Technology‐based Comprehensive Cardiac Rehabilitation Therapy (TaCT) for women with cardiovascular disease in a middle‐income setting: A randomized controlled trial protocol
Bibliographic record
Abstract
Women are underrepresented in cardiac rehabilitation (CR) despite the benefits, and this is exacerbated in lower-resource settings where CR is insufficiently available. In this randomized controlled trial, the effectiveness of the Technology-based Comprehensive Cardiac Rehabilitation Therapy (TaCT) electronic cardiac rehabilitation (eCR) intervention on functional capacity, risk factors, quality of life, heart-health behaviors, symptoms, and morbidity will be tested among women with CVD in a middle-income country. Following a pilot study, a single-center, single-blinded, 2 parallel-arm (1:1 SNOSE) superiority trial comparing an eCR intervention (TaCT) to usual care, with assessments pre-intervention and at 3 and 6 months will be undertaken. One hundred adult women will be recruited. Permuted block (size 10) randomization will be applied. The 6-month intervention comprises an app, website, SMS texts with generic heart-health management advice, and bi-weekly 1:1 telephone calls with a nurse trainee. Individualized exercise prescriptions will be developed based on an Incremental Shuttle Walk Test (primary outcome) and dietary plans based on 24 h dietary recall. A yoga/relaxation video will be provided via WhatsApp, along with tobacco cessation support and a moderated group chat. At 3 months, intervention engagement and acceptability will be assessed. Analyses will be conducted based on intent-to-treat. If results of this novel trial of women-focused eCR in a middle-income country demonstrate clinically-significant increases in functional capacity, this could represent an important development for the field considering this would be an important outcome for women and would translate to lower mortality.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".