Understanding the impacts of medical tourism on health human resources in Barbados: a prospective, qualitative study of stakeholder perceptions
Bibliographic record
Abstract
BACKGROUND: Medical tourism is a global health practice where patients travel internationally with the intention of receiving medical services. A range of low, middle, and high income countries are encouraging investment in the medical tourism sector, including countries in the Caribbean targeting patients in North America and Europe. While medical tourism has the potential to provide economic and employment opportunities in destination countries, there are concerns that it could encourage the movement of health workers from the public to private health sector. METHODS: We present findings from 19 semi-structured interviews with stakeholders across the public health care, private health care, government, allied business, and civil society sectors. These interviews were conducted in-person in Barbados and via phone. The interview transcripts were coded and a thematic analysis developed. RESULTS: Three themes were identified: 1) Stakeholder perceptions of the patterns and plans for health human resource usage by current and planned medical tourism facilities in Barbados. We found that while health human resource usage in the medical tourism sector has been limited, it is likely to grow in the future; 2) Anticipated positive impacts of medical tourism on health human resources and access to care in the public system. These benefits included improved quality control, training opportunities, and health worker retention; and 3) Anticipated negative impacts of medical tourism on health human resources and access to care in the public system. These impacts included longer wait times for care and a shift in planning priorities driven by the medical tourism sector. CONCLUSIONS: Stakeholders interviewed who were connected to medical tourism expansion or the tourism sector took a generally positive view of the likely impacts of medical tourism on health human resources in Barbados. However, stakeholders associated with the public health system and health equity expressed concern that medical tourism may spread inequities in this country. The mechanisms by which observed negative health equity impacts in other countries will be avoided in Barbados are unclear. Continued study in Barbados and comparison with the regulatory frameworks in other countries is needed to help enhance positive and mitigate negative impacts of medical tourism on health human resources in Barbados. These findings will likely have import for other Caribbean nations investing in medical tourism and beyond.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".