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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".