Examining recovery and mental health service satisfaction among young immigrant Muslim women with mental distress in Quebec
Bibliographic record
Abstract
OBJECTIVE: The overall aim of this study was to understand the experiences and perspectives of immigrant Muslim women in Quebec living with mental illness, who have recently used formal mental health services such as an accredited therapist, psychologist, or clinician. Specific objectives included (i) eliciting and examining their self-identified barriers and facilitators to recovery; (ii) exploring links between religion and mental health; and (iii) self-reported satisfaction with mental health services received. METHODS: We adopted a qualitative approach, facilitating the prioritization of participant perspectives. This involved semi-structured interviews with 20 women who (i) identified as Muslim; (ii) had used mental health services in the last three years; and (iii) were 18 + years of age. Interviews were transcribed and analyzed using thematic analysis techniques. RESULTS: Three prominent themes emerged from the analysis. These themes were (i) stigma and misunderstandings in families (especially parents) and sometimes in the ethno-religious community, both acting as barriers to health service utilization and recovery; (ii) frustrating clinical experiences within formal mental health care settings, in particular a perceived lack of cultural and religious competence, which negatively affected service utilization and the development of a therapeutic alliance; and (iii) deeply-held religious beliefs, practices and trust in God imparting a rhythm, purpose and meaning, which were strong facilitators to recovery. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: These findings suggest that recovery from mental illness can be advanced by a three-pronged approach in this population. First, anti-stigma mental health literacy interventions could be held in collaboration with Muslim community groups. Second, there is a need for further religious and cultural competence interventions, resources and trainings for mental health professionals working with Muslims. Third, self-care resources should be developed that harness aspects of religious practices that can give structure, meaning, purpose and hope. All this could ultimately foster recovery in this 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".