Northern perspectives on medical elective tourism: a qualitative study
Bibliographic record
Abstract
BACKGROUND: The Royal College of Physicians and Surgeons of Canada recognizes education to be necessary for doctors to provide culturally safe care. Communities in northern Canada have large populations of Aboriginal people and other marginalized groups. Our goal was to identify the elements of appropriate predeparture curricula for these medical trainees. METHODS: We conducted our study in Kenora, Ontario. With the help of a core collaborative group and the support of the local Aboriginal Health Access Centre, we interviewed a purposive sample of community members about their interactions with trainees from southern Canada. Aboriginal and non-Aboriginal researchers with roots in northern and southern Canada brought perspectives to the inductive analysis. RESULTS: We conducted 17 semistructured interviews between February and March 2014. Participants felt that southern trainees were inadequately educated in northern politics, society and history. They identified 2 more themes: determinants of health affecting the local Aboriginal population, and provider and patient factors affecting delivery of culturally competent care. Participants also shared ideas on how best to implement this content into curricula. INTERPRETATION: Providing culturally competent care to northern communities is a complex process requiring education. Using a collaborative method, we were able to delineate the experiences of members of a northern community and identify knowledge gaps of southern trainees travelling there. Our results provide a foundation for the content and structure of formal predeparture curricula to enable such trainees to provide culturally safe care.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".