Traditional Versus Hybrid Outpatient Cardiac Rehabilitation
Bibliographic record
Abstract
PURPOSE: Due to the suboptimal uptake of cardiac rehabilitation (CR), alternative models have been proposed. This study compared the effectiveness of a traditional supervised program in a medical setting versus a hybrid CR model, where patients transition to unsupervised programming. METHODS: This was a prospective, 2-arm, nonrandomized study. Health-related quality of life (HRQoL), functional capacity, physical activity, diet, smoking, blood pressure, lipids, blood glucose, anthropometrics, and depressive symptoms were assessed before and after the 8-week program models. Program adherence and completion were also recorded. Both models offered outpatient supervised exercise sessions, group health education classes, and a resource manual. The hybrid model involved a blend of supervised and unsupervised, independent home-based exercise, and followup phone calls. RESULTS: One hundred twenty-five cardiac patients consented to the study, of whom 72 (57.6%) and 53 chose the traditional and hybrid programs, respectively. One hundred ten (traditional: n = 62, 86.1%; hybrid: n = 48, 92.3%; P > .05) participants completed their program. Significant improvements were observed for both models over time in HRQoL (P < .001), physical activity (P < .001), and diet (P < .001). Significant reductions in smoking (P = .043), systolic blood pressure (P < .001), total cholesterol (P < .001), low-density lipoprotein (P < .001), waist circumference (P < .001), and depressive symptoms (P < .001) were also observed. There were no significant differences pre- and postprograms between models for any outcome. CONCLUSIONS: Hybrid CR was not significantly different from the traditional model in terms of HRQoL, functional capacity, heart health behaviors, and risk factors, with no differences in completion rates.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".