Experiences of Providers and Immigrants/Refugees with Health Care: A Meta-Synthesis of the Latin American Context
Bibliographic record
Abstract
INTRODUCTION: The experiences of providers and immigrants/refugees related to healthcare in the Latin American context have not yet been aggregated. This study aimed to synthesize the qualitative evidence on this theme. METHOD: A systematic review of qualitative evidence with meta-synthesis. After identification, eligible studies were evaluated for methodological quality, and information was systematically analyzed. RESULTS: The sample comprised 26 articles. The meta-theme shows that the experiences of providers and immigrants/refugees are determined by multilevel factors. In a macro-context, these factors involve the vulnerabilities of immigrants/refugees and the healthcare system/model, and in a closer context, they involve the lack of professional training in cultural skills and communication; language barriers; and prejudice/xenophobia. Within healthcare, the relationship is mostly conflictual, asymmetric, and unable to solve problems, leading to negative repercussions for both. CONCLUSIONS: Managers involved in developing public policies and providers must consider improving the interrelationship between healthcare services and the migrant population.
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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 | 0.020 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.016 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 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".