The international prevalence and variability of nonadherence to the nonpharmacologic treatment regimen after heart transplantation: Findings from the cross‐sectional BRIGHT study
Bibliographic record
Abstract
INTRODUCTION: Heart transplant (HTx) recipients need to follow a complex therapeutic regimen. We assessed the international prevalence and variability in nonadherence to six nonpharmacologic treatment components (physical activity, sun protection, diet, alcohol use, nonsmoking, and outpatient follow-up visits). METHODS: We used self-report data of 1397 adult HTx recipients from the 36-HTx-center, 11-country, 4-continent, cross-sectional BRIGHT study (ClinicalTrials.gov ID: NCT01608477). The nonadherence definitions used were as follows: Physical activity: <3 times/wk 20 minutes' vigorous activity, <5 times/wk 30 minutes' moderate activity, or <5 times/wk a combination of either intensity; Sun protection: not "always" applying any sun protection; Diet: not "often" or "always" following recommended diet(s); Alcohol use: >1 alcoholic drink/d (women) or >2 drinks/d (men); Smoking: current smokers or stopped <1 year before; Follow-up visits: missing ≥1 of the last 5 outpatient follow-up visits. Overall prevalence figures were adjusted to avoid over- or underrepresentation of countries. Between-country variability was assessed within each treatment component via chi-square testing. RESULTS: The adjusted study-wide nonadherence prevalence figures were as follows: 47.8% for physical activity (95% CI [45.2-50.5]), 39.9% for sun protection (95% CI [37.3-42.5]), 38.2% for diet recommendations (95% CI [35.1-41.3]), 22.9% for alcohol consumption (95% CI [20.8-25.1]), 7.4% for smoking cessation (95% CI [6.1-8.7]), and 5.7% for follow-up visits (95% CI [4.6-6.9]). Significant variability was observed between countries in all treatment components except follow-up visits. CONCLUSION: Nonadherence to the post-HTx nonpharmacologic treatment regimen is prevalent and shows significant variability internationally, suggesting a need for tailored adherence-enhancing interventions.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".