Development of Practical Clinical Trials Education Program for Pharmacy Students
Bibliographic record
Abstract
Clinical trials are essential for the approval of new drugs and to ensure that they are performed under the highest quality control,the clinical research coordinator (CRC) should play an important role in their various processes.Although some CRC training programs have been developed for pharmacists and nurses,there are still no such practical education programs for pharmacy students,though the Model Core Curriculum for Pharmaceutical Education states that“acquiring a basic knowledge of clinical trials and a professional attitude in their practice”are required as a general instructional objective.Therefore,we performed questionnaire survey of pharmacy students concerning what they would like to learn in practical training on clinical trials and based on the results,proposed a practical clinical trials education program for pharmacy students based on the Model Core Curriculum for Pharmaceutical Education.Our program consists of two courses : a basic course and an applied course.The aims of the basic course are to gain knowledge of the essential aspects of clinical trials and learn basic management skills and those of the applied course to develop communication skills and learn how the CRC can acquire a professional attitude towards the conduct of clinical trials.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".