Validity and Reliability of the Cardiac Rehabilitation Barriers Scale in the Czech Republic (CRBS-CZE): Determination of Key Barriers in East-Central Europe
Bibliographic record
Abstract
Cardiovascular rehabilitation (CR) is an effective secondary preventive model of care. However, the use of CR is insufficient, and the reasons for this are not well-characterized in East-Central Europe. This prospective observational study psychometrically validated the recently translated Cardiac Rehabilitation Barriers Scale for the Czech language (CRBS-CZE) and identified the main CR barriers. Consecutive cardiac in/out-patients were approached from January 2020 for 18 months, of whom 186 (89.9%) consented. In addition to sociodemographic characteristics, participants completed the 21-item CRBS-CZE (response options 1–5, with higher scores representing greater barriers), and their CR utilization was tracked. Forty-five (24.2%) participants enrolled in CR, of whom 42 completed the CRBS a second time thereafter. Factor analysis revealed four factors, consistent with other CRBS translations. Internal reliability was acceptable for all but one factor (Cronbach’s alpha range = 0.44–0.77). Mean total barrier scores were significantly higher in non-enrollers (p < 0.001), decreased from first and second administration in these enrollers (p < 0.001), and were lower in CR completers (p < 0.001), supporting criterion validity. There were also significant differences in barrier scores by education, geography, tobacco use, among other variables, further supporting validity. The biggest barriers to enrolment were distance, work responsibilities, lack of time, transportation problems, and comorbidities; and the greatest barriers to adherence were distance and travel. Several items were considered irrelevant at first and second administration. Other barriers included wearing a mask during the COVID-19 pandemic. The study demonstrated sufficient validity and reliability of CRBS-CZE, which supports its use in future research.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".