Medication Literacy in a Cohort of Chinese Patients Discharged with Acute Coronary Syndrome
Bibliographic record
Abstract
This study aims at investigating medication literacy of discharged patients with acute coronary syndrome (ACS) in China, and the important determinants of medication literacy among them. For this purpose, we conducted a prospective cohort study. Patient's demographic and clinical data were retrieved from hospital charts and medication literacy was measured by instructed interview using the Chinese version of Medication Literacy Questionnaire on Discharged Patient between 7 and 30 days after the patient was discharged from the hospital. The results show that medication literacy for the surveyed patients was insufficient: >20% did not have adequate knowledge on the types of drugs and the frequency that they need to take the drugs, >30% did not know the name of and the dosage of the drugs they are taking, and >70% did not have adequate knowledge on the effects and side effects of the drugs they are taking. Our research indicated that medication literacy scores decreased with age but increased with education. The number of medicines the discharged patient took with them and days between discharge and interview were not associated with medication literacy levels.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".