An Effective Training Program for Registered Sales Clerks Who Sell Over-the-Counter Drugs in Japan: A Preliminary Study
Bibliographic record
Abstract
Purpose: The Japanese healthcare system has designated registered sales clerks to sell over-the-counter (OTC) drugs.Because of this, the AEON HAPYCOM Comprehensive Training Organization implemented an education programto train registered clerks in 2014. The program is unique; it consists of both lectures and hands-on workshopcomponents. We conducted this study as part of a self-evaluation designed to improve the program.Methods: Program participants were asked to respond to an evaluation form upon completion. The form wasdesigned to ascertain student perceptions of the program’s components (e.g., themes, lecturers, materials, and thehands-on workshop) as well as its applicability to their practice of selling OTC drugs.Results: We obtained a total of 6,776 responses from 3,388 participants. On average, each of the program’scomponents were rated highly, with the hands-on workshop being rated the highest. There was a weak relationshipbetween the scores for program preparation and its applicability to OTC sales practices.Conclusion: The program (especially the hands-on workshop component) was highly evaluated by participants.However, we determined that enhancements could be made to the hands-on workshop and other mechanisms toencourage participants to prepare before attending the program.
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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 | 0.004 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".