Cost-effectiveness of cardiac rehabilitation program delivery models in patients at varying cardiac risk, reason for referral, and sex
Bibliographic record
Abstract
BACKGROUND: Little is known about the relative cost-effectiveness of different secondary prevention cardiac rehabilitation (CR) program designs or how cost-effectiveness is influenced by patient clinical and demographic characteristics. The purpose of the study was (i) to evaluate the incremental cost-effectiveness of a standard 3-month CR program (SCR) versus a program distributed over 12 months (distributed CR, DCR); and (ii) to determine the effect of patient demographic characteristics (cardiac risk, cardiac diagnosis, sex) on incremental cost-effectiveness. METHODS: A two group cost-effectiveness analysis was conducted alongside a randomized controlled trial. Patients with coronary artery disease (mean age=58 years, SD+/-10) were randomized to either SCR (n=196) or DCR (n=196) and followed for 24 months. Program delivery costs, cardiac healthcare use, morbidity, mortality, and quality-adjusted life years were assessed. Cost-effectiveness was evaluated with incremental cost-utility analysis. RESULTS: In the pooled analysis, we found the probability of SCR being more cost-effective than DCR was 63-67%. The subanalysis found SCR to be the more cost-effective intervention for patients at high risk, patients with previous coronary artery bypass graft and for male patients. The DCR program was more cost-effective for patients with lower risk of disease progression and for female patients. CONCLUSION: Differences were noted in the cost-effectiveness of CR models based on cardiac risk level, reason for referral, and demographic characteristics. Our results suggest improved cost-effectiveness may be gained by triaging patients to different CR intervention models, however, further investigation is required.
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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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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".