Controlled pilot test of a translated cardiac rehabilitation education curriculum in percutaneous coronary intervention patients in a middle-income country delivered using WeChat: acceptability, engagement, satisfaction and preliminary outcomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In China, despite the rapid increase in percutaneous coronary interventions (PCIs), cardiac rehabilitation (CR) is just burgeoning, leaving a need for comprehensive evidence-based education curricula. This pilot study assessed the acceptability of Simplified Chinese CR education delivered via booklets and videos on WeChat asynchronously and the impact on improving knowledge, risk factors, health behaviors and quality of life. In this pre-post, controlled, observational study, interested PCI patients received the 12-week intervention or usual care and WeChat without education. Participants completed validated surveys, including the Coronary Artery Disease Education-Questionnaire and Self-Management Scale. Acceptability (14 Likert-type items), engagement (minutes per week) and satisfaction were assessed in intervention participants. Ninety-six patients consented to participate (n = 49 intervention), of which 66 (68.8%) completed the follow-up assessments. Twenty-seven (77.1%) retained intervention participants engaged with the materials, rating content as highly acceptable (all means ≥4/5) and satisfactory (2.19 ± 0.48/3); those engaging more with the intervention were significantly more satisfied (P = 0.03). While participants in both groups achieved some improvements, only intervention participants had significant increases in disease-related knowledge, reductions in body mass index and triglycerides, as well as improvements in diet (all P < 0.05). In this first study validating the recently translated CR patient education intervention, acceptability and benefits have been supported.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 it