‘Thrown in at the Deep End’: The Experience of Graduates of Transnational Western Medical Education Transitioning into Middle Eastern Clinical Practice
Bibliographic record
Abstract
Background: Newly qualified doctors educated in their home country usually go on to work in their first hospital job in same country. These graduates are familiar with the socio-cultural context of clinical setting they work in. But, with many Western universities providing cross-border education to host countries in the Middle East and South East Asia in subjects such as medicine. The experiences of those graduating from transnational medical education and working in local hospitals are absent.The aim of the study was to explore the early transitional experiences of newly qualified doctors moving from a European branch campus to practice at hospitals affiliated to the medical school situated in a Middle-Eastern country.Methods: A qualitative study using an interpretive phenomenological approach through interviews to explore experiences of graduates of transnational medical education working in Middle Eastern hospitals. Results: The main findings can be summarised under the three themes generated: the essentials of practice, routine of practice and realities of practice. The results evidenced the transition as a challenging period for new doctors finding dissonance between the skills taught while in transnational education and the workplace. There were three particular areas of discord for the graduates in clinical practice: working in medical teams with a different arrangement to the one prepared for; adapting to a more patient-centred language and coping with differences in ethical norms, values and practices in the hospital.Conclusions: The graduates found transitioning from university to full-time clinical practice difficult and were disappointed by their experience not matching their expectations of work. These findings are valuable for transnational medical educators seeking to improve the experience of graduates who are moving from the clear ideals, norms and values of transnational medical education into the complexity of full-time clinical practice.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.021 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".