Standards for cardiac telerehabilitation
Bibliographic record
Abstract
Participation in comprehensive, multidisciplinary cardiac rehabilitation programmes as part of secondary prevention is recommended for patients with cardiovascular disease. However, recent data reveal that participation in cardiac rehabilitation is only around 30%-40% of eligible patients in Europe. Key barriers are practical barriers such as limitations in transport or scheduling issues. In recent years, home-based cardiac rehabilitation, delivered by telerehabilitation, has been suggested as an alternative or adjunct to centre-based cardiac rehabilitation to increase access, adherence, and participation rates. Multiple trials have demonstrated the effectiveness and cost-effectiveness of cardiac telerehabilitation. Recently, the European Association of Preventive Cardiology (EAPC) of the European Society of Cardiology (ESC) has defined the presence of a cardiac telerehabilitation programme as one of the quality indicators for centres requesting accreditation. This document aims to provide a clear description of cardiac telerehabilitation and to provide minimal standards and core components to ensure the high quality of cardiac telerehabilitation in Europe.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".