Ethical and legal implications of the risks of medical tourism for patients: a qualitative study of Canadian health and safety representatives’ perspectives
Bibliographic record
Abstract
OBJECTIVES: Medical tourism involves patients' intentional travel to privately obtain medical care in another country. Empirical evidence regarding health and safety risks facing medical tourists is limited. Consideration of this issue is dominated by speculation and lacks meaningful input from people with specific expertise in patient health and safety. We consulted with patient health and safety experts in the Canadian province of British Columbia to explore their views concerning risks that medical tourists may be exposed to. Herein, we report on the findings, linking them to existing ethical and legal issues associated with medical tourism. DESIGN: We held a focus group in September 2011 in Vancouver, British Columbia with professionals representing different domains of patient health and safety expertise. The focus group was transcribed verbatim and analysed thematically. PARTICIPANTS: Seven professionals representing the domains of tissue banking, blood safety, health records, organ transplantation, dental care, clinical ethics and infection control participated. RESULTS: Five dominant health and safety risks for outbound medical tourists were identified by participants: (1) complications; (2) specific concerns regarding organ transplantation; (3) transmission of antibiotic-resistant organisms; (4) (dis)continuity of medical documentation and (5) (un)informed decision-making. CONCLUSIONS: Concern was expressed that medical tourism might have unintended and undesired effects upon patients' home healthcare systems. The individual choices of medical tourists could have significant public consequences if healthcare facilities in their home countries must expend resources treating postoperative complications. Participants also expressed concern that medical tourists returning home with infections, particularly antibiotic-resistant infections, could place others at risk of exposure to infections that are refractory to standard treatment regimens and thereby pose significant public health risks.
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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 | 0.018 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.030 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".