Investigating the impact of patient-centred labels on comprehension of medication dosing: a randomised controlled trial
Bibliographic record
Abstract
OBJECTIVE: This study aims to implement a version of patient-centred labels (PCL) consistent with current labelling practice in Australia; assess the effectiveness of PCL in relation to the proportion of participants that correctly comprehend dosing instructions, and explore the proportion of correct comprehension of PCL in participants with both low and high health literacy. DESIGN: Randomised controlled trial. SETTING: A large tertiary care hospital in Brisbane, Queensland, Australia. PARTICIPANTS: 121 participants with a majority born in Australia (65.3%), New Zealand (14.0%), the UK (6.6%) and Ireland (2.5%). INTERVENTION: Participants were randomly assigned to either a panel of three PCL (n=61) or three standard labels (n=60) and asked to comprehend their assigned panel of labels. OUTCOME MEASURES: Difference in the proportion of participants that correctly comprehend dosing instructions provided on PCL compared with standard labels. The two-proportion test was used to measure the impact of PCL on the proportion of participants correctly comprehending dosing instructions. RESULTS: A greater proportion of participants were able to accurately comprehend PCL compared with standard labels. The proportion of participants who were able to correctly comprehend dose instructions provided on all three labels was significantly higher in the group that received PCL; 23.3% standard vs 83.6% PCL, p<0.001. The effect was observed in both low and high health literacy participants. The proportion of participants with accurate label comprehension was higher in participants with low Newest Vital Signs scores (8.3% standard vs 85.7% PCL, p<0.001) and low Rapid Estimate of Adult Literacy in Medicine scores (10.5% standard vs 96.0% PCL, p<0.001) who received PCL. CONCLUSION: This study supports the use of PCL in Australian pharmacy practice. PCL provide simple, clear and explicit dosing instructions to patients. Implementing PCL may reduce the risk of misinterpreting dosing instructions by patients and improve quality use of medicines. TRIAL REGISTRATION NUMBER: ACTRN12621000083897; Results.
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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 | 0.012 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".