Abstract TP294: Effect of Educational Level on Atrial Fibrillation Patients’ Knowledge and Perceptions About Oral Anticoagulation Therapy: Results From an International Study
Bibliographic record
Abstract
Introduction: Previous research has demonstrated that patients with atrial fibrillation (AF) have limited knowledge of AF, stroke and oral anticoagulant (OAC) treatment. This analysis assessed the effect of educational level on stroke knowledge, AF perception, concern about stroke, OAC treatment preferences and adherence. Methods: This was a cross-sectional, prospective survey of 936 adult patients (mean (SD) age 54.3 (16.6) yrs; 37.2% female) with AF on OACs in the USA, Canada, Germany, France and Japan. Three groups were included: AF with recent stroke (≤ 6 m); new onset AF (≤ 6 [ ≤ 12 m in Japan]) without recent stroke; established AF (7-24m [1-3yrs in Japan]) without recent stroke. Open-ended questions determined stroke knowledge, assessed according to a predefined scoring system. Patients were grouped according to educational level: no school-leaving certificate (low), high school diploma, community college and university/technical college. Results: Stroke knowledge was similar in all patients regardless of educational level. A greater proportion of patients with college education were ‘always’ or ‘often concerned’ about stroke, whereas a greater proportion of those with low levels of education were ‘never concerned’ about stroke (or didn’t know). Educational level had no effect on self-reported OAC adherence or patient preference to be involved in OAC treatment decisions. Patients with no school leaving certificate perceived taking medication (all drugs) as a ‘major burden’ (25.9%), while significantly more patients with college/university education did not view taking medication as burdensome (38.5% and 50.4% versus 37.0%, respectively; Table). Conclusions: Education influenced patients’ perceptions of the seriousness of AF, frequency of concern about stroke and perceived burden of medication. Educational attainment did not affect level of stroke knowledge, OAC adherence and desire to be involved in OAC treatment decisions.
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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 | 0.002 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".