Perceived Advantages and Disadvantages of Using Drug Samples in a University Hospital Center: A Case Study
Bibliographic record
Abstract
BACKGROUND: The distribution of drug samples is both permitted and a common practice in Canada and the US. The impact of this strategy on healthcare workers' opinions and habits is a reason for concern. OBJECTIVE: To evaluate the perceived advantages and disadvantages of using drug samples in a university hospital center. METHOD: An observational, descriptive case study was conducted in a 500-bed university hospital center between October 18 and November 1, 2007. To obtain feedback from the healthcare staff, our research team, which was made up of a physician, pharmacy resident, 2 pharmacists, and a student in health administration, designed a 26-question survey using a Likert scale (fully agree, partially agree, partially disagree, totally disagree, do not know). The questions focused on 8 different variables (rapid treatment initiation, free cost and availability, practicality of use, patient risk, pharmacist's role, impact on choice of treatment, storage and stock management, risk of pilfering). RESULTS: In total, 39 physicians, 18 medical residents, 17 medical clerks, 83 nurses, and 23 pharmacists working in various healthcare units and outpatient clinics (N = 180) agreed to take part in the survey and fill out the questionnaire. Generally speaking, there was a high degree of variation among the professional groups in their levels of agreement with the statements on the questionnaire. For example, 71% of the nurses, 43% of the physicians, 71% of the medical residents, and 36% of the medical clerks believed that drug samples encouraged treatment adherence, whereas only 17% of the pharmacists were of this opinion. CONCLUSIONS: Our results show that the perceived advantages and risks of using drug samples vary by healthcare provider group and in terms of exposure or nonexposure to their use. Concerned professionals must be provided with this information and strict measures must be instituted to ensure patient security.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".