Experiences of communication barriers between physicians and immigrant patients: A systematic review and thematic synthesis
Bibliographic record
Abstract
Frequent immigration of peoples from outside often challenges various systems of any country; healthcare sector is the most confronted one. One of the most prominent reasons for this confrontation is communication gap between physicians and immigrant patients. In this systematic narrative review, we studied existing literature on physician-immigrant patient communication. We systematically searched the repositories of literature and followed some criteria to select literature. We selected 32 literatures for information extraction. Three themes emerged from the synthesis: Physicians’ viewpoint about communication barrier with their immigrant patients, Immigrant patients’ viewpoint about the communication barrier with their physicians, and Interpreter as a mitigation process of communication barrier and associated challenges. Physicians are mostly concerned about the fidelity of their conversation with immigrant patients while the Immigrant patients are mostly concerned about their culture and sometimes fearful that the physicians will misunderstand them due to lack of language proficiency. This review provides an updated summary of communication barriers that may arise between physicians and immigrant patients, and their effects on quality of care.
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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 | 0.012 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| 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".