P08 Effect of referral strategies and women-only programs on completion of cardiac rehabilitation among women: a retrospective longitudinal study
Bibliographic record
Abstract
<h3>Background</h3> Cardiovascular diseases are the leading cause of mortality among women, yet their participation in cardiac rehabilitation (CR) programs remains lower than men’s. Strategies such as women-only CR groups and in-hospital liaison referrals may improve enrollment, but their impact on CR completion and cardiovascular events remains unclear. <h3>Aim</h3> This study evaluated the associations of (1) women-only vs. mixed-gender CR groups and (2) in-hospital liaison referrals vs. standard hospital referrals on women’s CR completion and cardiovascular event recurrence. <h3>Methods</h3> This is a retrospective longitudinal study conducted using records of adult women referred to the CR program at Hôtel-Dieu de Lévis (Canada) from May 2022 to February 2025. The 12-week program included supervised exercise, risk factor management, and education. We excluded non-hospital referrals and women who participated in a virtual, hybrid, or home-based program. Completion was defined as attending ≥70% of sessions. Recurrence of cardiovascular events was assessed using emergency visits and hospital admissions. We conducted multivariable logistic regressions adjusted for potential confounders. <h3>Results</h3> 118 women were included (mean age 69.4±9.2 years; 66.4% post-MI; median follow-up: 651 days). Women-only CR groups were associated with higher completion (OR=5.36, 95%CI[1.58, 18.22], p=0.007) and participation (+12.66%, 95%CI[3.23, 22.10], p=0.01) (figure 1). In-hospital liaison referrals were also associated with higher completion (OR=3.70, 95%CI[1.00, 13.66], p=0.049). Women receiving both interventions had higher completion (OR=15.95, 95%CI[1.93, 131.66], p=0.01) and participation (+20.40%, 95%CI[7.32, 33.48], p=0.003) compared to women in mixed-gender groups with standard hospital referral. Although not statistically significant, women-only CR groups showed lower incidence of all-cause hospitalization (HR=0.51, 95%CI[0.15 to 1.73], p=0.3). Referral strategies were not associated with cardiovascular event recurrence. <h3>Conclusion</h3> These findings support the integration of structured women-only CR groups and in-hospital liaison referrals to improve program adherence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".