On-site programmatic attendance to cardiac rehabilitation and the healthy-adherer effect
Bibliographic record
Abstract
BACKGROUND: On-site attendance to prescheduled cardiac rehabilitation visits has been shown to be associated with improved outcomes following cardiac rehabilitation. The extent to which on-site programmatic attendance represents a healthy-adherer effect remains unknown. METHODS: This retrospective cohort study consisted of 17,000 consecutively referred patients to a cardiac rehabilitation program in Ontario, Canada. On-site attendance at prescheduled visits was our primary exposure variable. The primary outcome was all-cause death or hospitalization at two years following the expected program completion date, irrespective of drop-out. Secondary outcomes included adherence to statins, health-seeking preventative health visits, and changes in clinical risk-profiles. Cox proportional hazards adjusted for baseline sociodemographic, clinical and comorbid characteristics. RESULTS: Among the 12,440 patients who attended at least one prescheduled on-site visit, on-site attendance was inversely correlated with baseline smoking rates and body mass index at program entry. After adjustment for baseline factors, the risk of death or hospitalization progressively fell with incremental increases in on-site attendance (adjusted hazard ratio for each 10% increase in on-site attendance: 0.96; 95% confidence interval: 0.93-0.99, p = 0.007). Such associations were driven predominantly by differences in non-cardiovascular hospitalizations. Incremental increases in on-site attendance were associated with improvements in cardiopulmonary fitness and body mass index (both p < 0.001), better attendance of preventative care physician visits (p < 0.001) and higher medication adherence to statins (p = 0.007). CONCLUSIONS: Associations between on-site attendance at cardiac rehabilitation and outcomes may represent a healthy-adherer effect. Future research must evaluate the clinical utility of on-site attendance as a behavioral health-adherence metric for cardiac rehabilitation monitoring and surveillance.
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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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".