Pharmaceutical promotions and trustworthiness on new drug prescribing among physicians in public general hospitals
Bibliographic record
Abstract
Objective: The interaction between physicians and the pharmaceutical industry influences physicians’ attitudes and prescribing behaviors. In this regard, physicians’ attitudes towards pharmaceutical promotions and their trustworthiness towards pharmaceutical representatives’ information on new drugs were explored in this study.Methods: The present study was an analysis of a cross-sectional survey of 183 physicians with different job and education hierarchies and from various clinical settings in Erbil-Iraqi Kurdistan in July 2018. The physicians were invited from the public sector, comprising a general, emergency, and pediatric hospital. The information was collected through an anonymous, self-administered questionnaire. The questionnaire included exposure to marketing activities, motivations to contact pharmaceutical representatives, attitudes towards promotional activities, and trustworthiness of the pharmaceutical representatives’ information on new drugs.Results: Majority of the physicians reported that the information provided by pharmaceutical representatives assisted them in staying up to date or learning about new products (76.5%), but 55.7% of them trusted their medical information. In addition, most of them reported that pharmaceutical representatives prioritized the promotion of their products over patients’ benefits (70.5%). They reported that receiving promotional material and participating in promotional activities have an effect on doctors’ behaviors to prescribe a new drug, including promotional materials (55.2%); medical samples (67.8%); funding of registration costs to conferences (60.1%); participation in industry-funded researches (69.9%); and continuing medical education (69.4%). Receiving promotional materials and participation in promotional activities were considered to be ethical.Conclusions: The present study showed that most of the physicians reported the role of promotional materials and activities on physicians’ behaviors to prescribe new drugs.
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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 | 0.021 |
| 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 | 0.000 | 0.001 |
| 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".