International Medical Graduates' perceptions about residency training experience: a qualitative study
Bibliographic record
Abstract
Objectives: To explore International Medical Graduates residents' experiences and perspectives of their residency training program. Methods: This qualitative study was conducted at a large research-intensive University. Purposeful sampling was used to recruit 14 International medical graduates. The residents recruited for this study were at different levels in their training ranging from Postgraduate year one to five. Residents interviewed represented seven unique specialties. Each trainee was interviewed, and the data were recorded and transcribed verbatim. A thematic analysis framework was used to conduct the data analysis, resulting in the development of study themes. Results: Our analysis generated six main themes. These themes were related to costly decisions, unspoken expectations, the stigma associated with being an IMG, fears of being an IMG, the strength and resilience of IMGs, and recommen-dations proposed by IMGs for program improvement. Conclusions: In this study, we wanted to explore international residents' experiences with their programs. The experience of each individual international resident is unique. However, in this study, we were able to provide firsthand perceptions of IMGs from a research-intensive university and identified common themes experienced and perceived by our resi-dents. This study's findings may help educate, reduce stigma, and guide the implementation of effective individu-al and systemic support for these trainees. Which in turn will enhance the overall educational experiences for IMGs trainees. Our study found that themes seem to be recur-ring, hence, an urgency to bring about appropriate chang-es, equitable opportunities, and support for IMGs.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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 teacher head, 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".