Factors That Affect Refugees’ Perceptions of Mental Health Services in the UK: A Systematic Review
Bibliographic record
Abstract
The UNHCR reported that over 123.2 million people were forcibly displaced worldwide by the end of 2024, with the mental health of refugees emerging as a critical issue. In the UK, asylum seekers and refugees make up around 13% of immigrants and the number is increasing year on year. The Immigration and Asylum Act 1999 aimed to ensure that most cases of asylum seekers would be decided fairly, and within six months. However, it has been argued that long wait times and systemic inequalities and inequities within the asylum system have contributed to heightened mental health problems among refugees even once they gain refugee status. The present study aimed to examine the factors that refugees perceive as limiting their ability and willingness to access mental health services in the UK. A systematic review of 15 relevant articles followed the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Results highlight intersecting perceived limitations to accessing mental health services, such as language difficulties, cultural disconnection regarding mental health including stigma and prejudice, mistrust of services as well as structural barriers including general service limitations and the involuntary transient nature of many refugees’ lives. Policy recommendations emphasize integrating ethnic minority organizations into services, developing culturally adapted services that take into consideration the views of refugees, and ensuring holistic approaches to address socio-economic determinants.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".