The ethical experiences of trainees on short-term international trips: a systematic qualitative synthesis
Bibliographic record
Abstract
BACKGROUND: Medical student and resident participation in short-term international trips for trainees (STINTTs) has increased in the past few decades. However, there has been no systematic review of trainees' actual ethical experiences. The authors sought to identify what ethical issues medical trainees encounter during STINTTs, as elicited by and reported in peer-reviewed, quantitative and qualitative research papers. METHODS: The authors systematically searched five academic databases finding 659 unique titles and abstracts. The authors applied inclusion and exclusion criteria to these titles and abstracts resulting in fourteen papers, which were analyzed using qualitative thematic synthesis. RESULTS: The qualitative analysis of the papers generated four themes: (1) Trainees' Concerns Over Perpetuating Medical Tourism; (2) Struggling to Identify and Balance the Benefits and Harms of STINTTs; (3) The Complicated Trainee Mens (mind); and (4) Ethical Situations Encountered by Trainees. The fourth theme, which was the largest, was further divided into (a) Navigating social and cultural dynamics, (b) Trainees' experiences related to the learner role, and (c) Ethical situations not qualifying for other catagories. Some of these issues reported in the empirical research papers are well represented in the broader literature on STINTTs, while others were less so-such as mistreatment of trainees. All included papers were published after 2010, and comprised a total of less than 170 medical trainees. CONCLUSIONS: Medical trainees report experiencing a wide range of ethical challenges during short-term international trips in which they engage in clinical or research activities. The authors call educators' attention to specific challenges that trainees face. The relevant literature covering US and Canadian STINTTs is relatively young and largely qualitative. The authors briefly sketch a program for expanding the research on this increasingly common educational experience.
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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 | 0.068 | 0.109 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".