Reliability of the Scale of Barriers for Cardiac Rehabilitation in the Colombian Population
Bibliographic record
Abstract
Cardiac rehabilitation is supported by the highest level of scientific evidence. However, less than 25% of those eligible to participate in a cardiac rehabilitation program initiate it; and of these, 50% drop out prematurely. A modified Spanish Cardiac Rehabilitation Barriers Scale (CRBS) has been translated, culturally adapted and validated in Colombia, however, the reliability remains to be evaluated. This study aimed to determine the internal consistency and test-retest reliability of the CRBS in a Colombian population. In total, 193 patients (67% men, average age = 65 ± 12 years) completed the scale twice, with an average of eight days between applications. Cronbach's Alpha and intraclass correlation coefficients (ICC) were calculated. The internal consistency of the Colombian version of the CRBS was acceptable (Cronbach's alpha = 0.84). The ICC of the CRBS was 0.69 (95% CI 0.61-0.76); 0.78 (95% CI 0.71-0.84) when the CRBS was completed by interview; and 0.47 (95% CI 0.21-0.67) when the CRBS was self-reported. The reliability of the interview version of the CRBS was substantial in the Colombian population; however, the reliability of the self-report version was lower. The use of this scale will allow developing strategies to increase participation and adherence to cardiac rehabilitation programs.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".