A QUALITATIVE STUDY ON NEEDS AND BARRIERS TO MENTAL HEALTHCARE SERVICE ACCESS BY REFUGEE WOMEN IN WINNIPEG, MANITOBA, CANADA
Bibliographic record
Abstract
The world refugee crisis is currently at a record level. Refugees have an increased risk of developing mental illness like post-traumatic stress disorder (PTSD), depression, and somatic symptoms because of their exposure to violence. Despite increased healthcare needs, refugees face considerable barriers in accessing services. Women refugees may have unique mental healthcare needs due to their vulnerability to gender-based violence and abuse during flight from war. This study explores the mental healthcare need, availability of support and barriers in accessing services among Syrian refugee women in Winnipeg. Semi-structured interviews were conducted with nine refugee women and six service providers/decision makers. The data were analyzed using a qualitative thematic approach aided by NVivo 12 qualitative software. The most cited barriers in accessing mental healthcare services were language, weather, unemployment, stigma, system navigation, different understandings of mental health and illness, and lack culturally competent care. Results from this study can inform decision makers of issues requiring policy responses to improve mental healthcare for refugee women in Manitoba.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 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".