Snakes and ladders: An integrative literature review of refugee doctors' workforce integration needs
Bibliographic record
Abstract
INTRODUCTION: Healthcare systems worldwide are facing a workforce crisis; meanwhile, refugee doctors throughout the world face difficulties in accessing work. The aims of this review were to explore the integration needs of refugee doctors into host healthcare systems from the refugee perspective, synthesise the literature to construct a theory of refugee doctor integration needs and explore how these needs are met or challenged on the pathway to full integration. METHODS: In this integrative literature review, 11 databases and eight grey literature sources were searched by combining terms for refugee doctor and social integration and limiting to research published in or after 2003. Data were extracted, and quality scoring was completed independently by two researchers. This study utilised template analysis to perform a qualitative synthesis of the data. The multidimensional template included a pre-defined template based on a theoretical framework and a concurrent fully inductive template. RESULTS: Twenty-two papers were included, incorporating the views of 339 doctors from 30 different home countries and 10 different host countries. The resultant theory included 'foundations' (rights and responsibilities) and three pillars. The 'learning' pillar included required knowledge and skills acquisition. The 'being' pillar encompassed necessary identity work. The 'connecting' pillar comprised social connections, which impacted all other domains. The random and non-linear path to integration faced by refugee doctors was also presented as a serious game. DISCUSSION: This study produced a theory exploring refugee doctors' integration needs and how these are met or challenged. Medical educators developing courses for refugee doctors should attend not only to knowledge and skills acquisition but also social connections, identity work and rights and responsibilities. The theory highlights the central importance of social connections. Medical educators can therefore have a transformative impact on refugee doctors' integration. This may also contribute to society by helping to alleviate the workforce crisis.
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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 | 0.016 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.030 | 0.026 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| 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".