Interaction and medical inducement between pharmaceutical representatives and physicians: a meta-synthesis
Bibliographic record
Abstract
BACKGROUND: It has been proven that the interaction between pharmaceutical representatives and physicians can directly influence the latter's prescribing behaviour. This meta-synthesis aims to explore the available studies regarding the nature of the interaction that takes place between pharmaceutical representatives and physicians. It highlights the different aspects of that interaction by investigating the reasons why these meetings happen in the first place, their benefits and drawbacks and their impact on patients' health and, ultimately, the health of the public. METHODS: A search for published articles was conducted in April 2015. Three databases (PubMed, Ovid Medline, and ProQuest) were searched for articles published between January 2000 and April 2015. Authors worked autonomously and in pairs to select eligible articles. In this case, the meta-synthesis approach was used to develop a fuller understanding and to facilitate new knowledge by bringing together qualitative findings on physician-PR interaction. 'Meta-synthesis' is the process of amalgamation of a group of similar studies with the aim of developing an explanation for their findings (Walsh and Downe, J Advanc Nurs 50: 204-211, 2005). A thematic content analysis was conducted on the 15 included full text articles (qualitative and quantitative studies) whereby the original authors' understanding of key concepts in each study was identified and listed in a summary form in the data extraction sheet under "key findings" column. These findings were then juxtaposed to identify homogeneity and dissonance (Walsh and Downe, J Advanc Nurs 50: 204-211, 2005). Homogenous findings were then coded together on a different data extraction table to form a theme. RESULTS: A total of 15 articles met the inclusion criteria and were included in this meta-synthesis;six from the United States, two from Libya, and one each from Turkey, Peru, India, Germany, the United Kingdom, Yemen, and Japan. Six main themes were derived from the included articles: 1-the frequency of pharmaceutical representatives' visits, 2-the perceived ethical acceptability of the interactions between pharmaceutical representatives and physicians, 3-the attitudes held by physicians towards visits by pharmaceutical representatives, 4-their perception of the effect of such visits on prescription patterns, 5-reasons to accept or reject pharmaceutical representatives, and lastly, 6-guidelines. CONCLUSIONS: The physicians referred to pharmaceutical representatives as efficient and convenient information resources and were willing to meet them and accept their gifts. It was also evident that most physicians believed that their prescribing would not be influenced by pharmaceutical representatives.
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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 | 0.133 | 0.262 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.034 |
| Bibliometrics | 0.014 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".