Predictors of Enrollment in Cardiac Rehabilitation Programs in Spain
Why this work is in the frame
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Bibliographic record
Abstract
In Brief PURPOSE: Cardiac rehabilitation (CR) is very effective for secondary prevention of cardiovascular disorders. The objective of this study was to analyze population factors associated with nonenrollment of cardiac patients in these programs. METHODS: Retrospective study of 756 patients referred to the cardiac rehabilitation program (CRP) of a tertiary referral hospital with a service area population of more than 640 000 from January 2009 to June 2012. We assessed the relationship between population characteristics of these patients and nonenrollment by logistic regression analysis. RESULTS: There were 2386 hospital admissions for an acute coronary syndrome during the study period. Out of the 2355 patients who were alive at discharge, 756 (632 men and 124 women) were referred for CR (32.1% vs 3% state average and vs 51% European average). Of these patients, 20.9% did not enroll. The referral rate was lower among women than among men (P < .001). The characteristics associated with a lower rate of enrollment in the program were age (OR: 1.05; 95% CI: 1.02-1.09), living alone (OR: 4.54; 95% CI: 2.53-8.16), living further than 50 km from the CR unit (OR: 2.90; 95% CI: 1.29-6.41) and, in women, having a history of cardiovascular disease (recurrent myocardial infarction) (OR: 6.35; 95% CI: 2.53-11.81). CONCLUSIONS: The rate of referral for CR in our setting is well above the national average but still could be improved. We identified older age, living alone, travel distance to the cardiac rehabilitation unit, and, in women, a history of a previous myocardial infarction as barriers to enrollment in CRPs. Cardiac rehabilitation programs are very effective for secondary prevention. The aim of this study was to analyze population factors associated with nonenrollment of referred cardiac patients in the program. We identified older age, living alone, history of myocardial infarction, and travel distance to the cardiac rehabilitation unit as barriers to enrollment.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it