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Record W4414207409 · doi:10.1192/j.eurpsy.2025.403

Barriers towards mental health service utilization among religious immigrants

2025· article· en· W4414207409 on OpenAlexaffabout
Rob Whitley, G. Eric Jarvis

Bibliographic record

VenueEuropean Psychiatry · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsMcGill University
Fundersnot available
KeywordsMental healthThematic analysisImmigrationMental health servicePopulationDistressDemographicsMental distressQualitative research

Abstract

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Introduction Evidence suggests that immigrants and minorities with mental distress underuse mental health services compared with the majority population. Such under-utilization, combined with other socio-cultural factors, can impede recovery from mental illness. The population of Canada is becoming increasingly diverse, primarily due to record levels of immigration. These immigrants come from a variety of traditions including Muslim, Christian, and Jewish backgrounds. For such immigrants, their religious beliefs, practices and activities are often central to their lives and influence important decisions regarding health and well-being. These changing demographics have prompted calls for more research and action regarding the mental health service experience of religious immigrants. Objectives The objective of this study was to identify and understand self-identified barriers to mental health service utilization among religious immigrants, including eliciting experiences within the mental health care system. Methods To meet these aims, we employed a qualitative community-based approach, conducting in-depth semi-structured interviews with 58 first- or second-generation immigrants to Canada who identified as people of religious faith, comprising Christians, Muslims and Jews. All participants had used a mental health service in recent years, and they reported a variety of mental disorders, mostly depression and anxiety. Interviews were transcribed and data was analyzed using thematic analysis techniques. Results Analysis revealed three core barriers to service utilizations. First, participants often reported that some people in their social circle (such as parents and clergy) held stigmatizing views of mental illness, including sceptical views about the reality of mental illness. This contributed to self-stigma, inhibited disclosure and delayed help-seeking. Second, participants stated that service providers typically had a very limited understanding of the cultural and religious context of their lives, and sometimes conveyed a dismissive or ignorant attitude towards their deeply-held religious beliefs and practices. This negatively affected service utilization and the development of a therapeutic alliance. Third, some participants noted that they (and other members of their communities) lacked knowledge about mental illness, available treatments, and effective therapies, meaning they were unaware of potential services and supports. Conclusions The results suggest an urgent need for a multi-pronged approach to better engage religious minorities with mental distress. On the clinical side, there is a need for more religious and cultural competence training for Canadian clinicians. On the community side, culturally-appropriate anti-stigma and mental health literacy interventions may need to be co-created and implemented in partnership with different immigrant communities in Canada. Disclosure of Interest None Declared

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.024
GPT teacher head0.348
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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