Where is the policy? A bibliometric analysis of the state of policy research on medical tourism
Bibliographic record
Abstract
Abstract Background It is imperative that researchers studying medical tourism connect their work with policy, so that its real-world challenges can be better understood, and more effectively addressed. This article gauges the scope and evolution of policy thinking in medical tourism research through a bibliometric review of published academic literature, to establish the extent to which researchers apply public policy theories and frameworks in their investigation of medical tourism, or consider the policy imperatives of their work. Methods A Boolean search of the Web of Science (WoS) Core Collection was performed to identify policy-related publications on medical tourism. We analyzed the results using bibliometrics and a data visualization software called VOSviewer to identify patterns in knowledge production and underlying network linkages in policy research on the subject. Results Our findings suggest that only a small proportion of medical tourism research explicitly addresses policy issues or applies policy paradigms in their study approach. Field-specialized journals serving practitioners publish less research as compared to interdisciplinary social and health policy journals. Moreover, there are significant geographical and disciplinary disparities in the policy-orientation of research, and a predilection towards select policy areas such as reproductive and transplant tourism to the neglect of more holistic governance and health system considerations. Conclusion This article is a call to action for greater engagement by policy scholars on medical tourism, and for health researchers to more explicitly consider how their research might contribute to the understanding and resolution of contemporary policy challenges of medical tourism. Failure to clearly and consistently make the policy connection is a lost opportunity for researchers to frame the public debate, and influence policy thinking on medical tourism.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | high |
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 | 0.043 | 0.241 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.252 | 0.381 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".