Sociodemographic predictors and reasons for participation in an outpatient cardiac rehabilitation programme following percutaneous coronary intervention
Bibliographic record
Abstract
Evidence-based guidelines recommend participation in cardiac rehabilitation (CR) to reduce subsequent cardiovascular events following percutaneous coronary intervention (PCI). The objective of this study was to investigate the reasons for and the demographic characteristics of patients who participate in CR programmes following PCI in a single metropolitan setting in Australia. Logistic regression models were used to examine the data obtained using self-reports through mailed questionnaires from 202 patients 12-24 months following the index PCI. Thirty-five per cent of subjects reported to have participated in CR programmes, of whom less than a quarter were female. In this sample the main reason for programme participation was a recommendation given by the general practitioner (GP). The likelihood of participating in a CR programme decreased with age and absence of a partner. Additional research on determinants of participation in CR programmes among this cohort of patients could assist in the development of new strategies to encourage healthy behaviours and reduce the risk of further cardiac events.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| 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".