Bibliometric Analysis of Hospital Smoking Policies: Research Trends, Influences, and Global Collaboration
Bibliographic record
Abstract
This study aims to analyze research trend developments, scientific impact, and global collaboration patterns in the field of hospital smoking ban policies using a bibliometric approach. Data were collected from the Scopus database using relevant keywords related to "hospital smoking policy" and analyzed with bibliometric software tools such as VOSviewer and Biblioshiny. The analysis results indicate a significant increase in the number of publications since 2000, with the United States, the United Kingdom, and Canada emerging as the main contributors. Dominant topics include smoke-free policies, health impacts on patients and staff, and the effectiveness of policy interventions. The visualization of collaboration networks reveals strong connections among developed countries, although collaborations involving developing countries remain limited. These findings provide a comprehensive overview of the research landscape concerning hospital smoking policies and highlight opportunities to strengthen cross-country cooperation to enhance the effectiveness of global health policies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.028 | 0.063 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".