Development of a mobile phone-based intervention to improve adherence to secondary prevention of coronary heart disease in China
Why this work is in the frame
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Bibliographic record
Abstract
Coronary heart disease (CHD) is a major disease burden globally and in China, but secondary prevention among CHD patients remains insufficient. Mobile health (mHealth) technology holds promise for improving secondary prevention but few previous studies included both provider-facing and patient-directed measures. We conducted a physician needs assessment survey (n = 59), physician interviews (n = 6), one focus group and a short cellphone message validation survey (n = 14) in Shanghai and Hainan, China. Based on these results, we developed a multifaceted mHealth intervention that includes: (1) a provider-facing bilingual mobile app guiding prescription of evidence-based medications for secondary prevention and (2) a patient-directed short messaging system automatically sending reminders to patients regarding medication adherence and lifestyle changes (4-5 messages per week for 12 weeks). This combined intervention has the potential to improve secondary prevention of CHD and to be adapted to other countries and healthcare conditions.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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