Japanese Physicians’ Views on Drug Post-Marketing Surveillance
Bibliographic record
Abstract
BACKGROUND: Registration trials leading to the approval of drugs are paramount in drug development. After approval, continuous efforts are necessary to ensure proper use of the approved drugs. In Japan, post-marketing surveillance (PMS) by drug companies is conducted in accordance with good post-marketing study practice (GPSP). Although the global standard for pharmacovigilance is incorporated into GPSP, attention has recently been focused on disassociating them. In this study, we examined physicians' views on PMS with the aim of conducting PMS more effectively. METHODS: We retrospectively reviewed records between 2009 and 2013 from the institutional review board of Tokushima University Hospital, an academic hospital in rural Japan. The annual number of times PMS was performed was then determined. Next, we assessed physicians' attitudes toward drug PMS, including ethical issues, in a cross-sectional study using a questionnaire designed for this study. Five- and two-point scales were used. The questionnaire was distributed in 2014 to 221 physicians listed as investigators in PMS contracts. RESULTS: Of the 221 physicians, 103 (46.6%) responded to the questionnaire. About 50% of the respondents had experience writing PMS reports. Many of the physicians considered PMS to be important but burdensome. Furthermore, from the viewpoint of research ethics, many physicians considered it improper within the present PMS framework to collect and provide data beyond the scope of routine clinical practice without obtaining informed consent in the case of extra blood sampling, provision of images, monitoring and controlled studies. CONCLUSIONS: Beyond practical factors such as workload, attention should be given to establishing an ethical infrastructure and globally harmonized system with regard to the Japanese PMS system. Given the limitations of this single-institution study, further research is needed to collect information for developing a suitable infrastructure.
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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 | 0.013 | 0.041 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".