The 'Patient's Physician One-Step Removed': The Evolving Roles of Medical Tourism Facilitators
Bibliographic record
Abstract
BackgroundMedical tourism involves patients travellinginternationally to receive medical services. This practiceraises a range of ethical issues, including potential harmsto the patient’s home and destination country and risksto the patient’s own health. Medical tourists oftenengage the services of a facilitator who may book traveland accommodation and link the patient with a hospitalabroad. Facilitators have the potential to exacerbate ormitigate the ethical concerns associated with medicaltourism, but their roles are poorly understood.Methods12 facilitators were interviewed from 10Canadian medical tourism companies.ResultsThree themes were identified: facilitators’ rolestowards the patient, health system and medical tourismindustry. Facilitators’ roles towards the patient weretypically described in terms of advocacy and theprovision of information, but limited by facilitators’ legalliability. Facilitators felt they played a positive role in thelives of their patients and the Canadian health systemand served as catalysts for reform, although they notedan adversarial relationship with some Canadianphysicians. Many facilitators described personally visitingmedical tourism sites and forming personal relationshipswith surgeons abroad, but noted the need for greaterregulation of their industry.ConclusionFacilitators play a substantial and evolvingrole in the practice of medical tourism and may be enteringa period of professionalisation. Because of the key roleof facilitators in determining the effects of medical tourismon patients and public health, this paper recommendsa planned conversation between medical tourismstakeholders to define and shape facilitators’ roles.
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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 | 0.024 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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, 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".