Community or patient preferences for cost-effectiveness of cardiac rehabilitation: does it matter?
Bibliographic record
Abstract
BACKGROUND: Few healthcare economic evaluations, and none in cardiac rehabilitation, report results based on both community and patient preferences for health outcomes. We published the results of a randomized trial of cardiac rehabilitation after myocardial infarction in 1994 in which preferences were measured using both perspectives but only patient preferences were reported. This secondary analysis uses both types of preference measurements. METHODS: We collected community Quality of Well-Being (QWB) and patient Time Trade-off (TTO) preference scores from 188 patients (rehabilitation, n=93; usual care, n=95) on entry into the trial, at 2 months (end of the intervention) and again at 4, 8, and 12 months. Mean preference scores over the 12-month follow-up study period, estimates of quality-adjusted life years (QALYs) gained per patient, incremental cost-effectiveness ratios [costs inflated to 2006 US dollars] and probabilities of the cost-effectiveness of rehabilitation for costs per QALY up to USD100,000 are reported. RESULTS: Mean QWB preference scores were lower (P<0.01) than the corresponding mean TTO preference scores at each assessment point. The 12-month changes in mean QWB and TTO preference scores were large and positive (P<0.001) with rehabilitation patients gaining a mean of 0.011 (95% confidence interval, -0.030 to +0.052) more QWB-derived QALYs, and 0.040 (-0.026, 0.107) more TTO-derived QALYs, per patient than usual care patients. The incremental cost-effectiveness ratio for QWB-derived QALYs was estimated at $60 270/QALY (about euro50 600/QALY) and at $16 580/QALY (about euro13 900/QALY) with TTO-derived QALYs. With a willingness to spend $100 000/QALY, the probability of rehabilitation being cost-effective is 0.58 for QWB-derived QALYs and 0.83 for TTO-derived QALYs. CONCLUSION: This secondary analysis of data from a randomized trial indicates that cardiac rehabilitation is cost-effective from a community perspective and highly cost-effective from the perspective of patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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".