Abstract 202: Outcomes of Region-Wide Cardiac Rehabilitation
Bibliographic record
Abstract
Background: Cardiac rehabilitation (CR) is recommended for patients with cardiovascular disease, however the impact of a region-wide, centrally managed CR model with local non-medical community-based delivery of CR is unknown in a universal health care system setting. Objectives: To determine the impact of a regional 6-month, once per week supervised exercise session CR model on mortality and re-hospitalization compared to a matched control within a regional health care system. Methods: The regional CR service comprised: a standardized regional referral strategy for patients with established cardiac disease including stable heart failure, local (within a 30-minute drive time from place of residence) CR service delivery by trained CR professionals. Patient data that was prospectively entered into a regional CR database for patients referred to CR from 2012 through 2014, was linked to government mandated administrative databases and all-cause mortality and hospitalization rates were compared between patients who were referred to CR vs. a matched cohort who were not. Matching included age, sex, year of referral, socioeconomic status, and cardiac condition at hospital discharge. Mortality and re-hospitalization were assessed at 1-yr post index cardiac event excluding the initial 6-month period to account for immortal time bias. Results: Fewer patients who completed CR compared to matched controls died (14/1,318 or 1.1% vs. 31/1,318 or 2.4%, p=0.011), or were readmitted to hospital (128 or 9.7% vs. 190 or 14.4%, p<0.001). Fewer patients who started but did not complete CR (CR non-completers) died compared to matched controls (10/639 or 1.6% vs. 21/639 or 3.3%, p=0.045), however there was no difference in hospital readmission rates between CR non-completers compared to matched controls (18.0% vs. 14.9%, p=0.13). More patients who were referred to CR but did not enroll in CR, died compared to matched controls (241/3,933 or 6.1% vs. 196/3,933 or 5.0%, p=0.027), or were readmitted to hospital (932 or 23.7% vs. 643 or 16.3%, p<0.001). Conclusions: In a universal health-care system, patients who completed a regionally coordinated, locally delivered, standardized CR program close to home, experienced lower mortality or re-hospitalization rates compared to matched patients not referred to CR. This association was not likely due to a referral bias as patients who were referred to CR but did not enroll in CR faired worse, not better, compared to matched non-CR referred patients. Health care system decision makers (e.g. provincial governments in Canada) should strongly consider funding regional CR strategies.
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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 | 0.002 | 0.001 |
| 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 | 0.000 | 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".