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Record W4406877138 · doi:10.1177/27551938241311875

Mental Health of Black Canadians: A Scoping Review

2025· review· en· W4406877138 on OpenAlexaffabout
Adedoyin Olanlesi-Aliu, Aisha Giwa, Bukola Salami

Bibliographic record

VenueInternational Journal of Social Determinants of Health and Health Services · 2025
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of CalgaryUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsCINAHLMental healthPsycINFOGrey literatureScopusMEDLINEPsychologyNursingMedicinePsychological interventionPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Black Canadians frequently experience significant challenges when attempting to access mental health care, resulting in discrepancies in mental health outcomes. This article describes a scoping review that aimed to understand the range and nature of research conducted on the mental health of black Canadians and to identify the gaps in this literature. An established methodological framework guided the scoping review process. We searched research databases (CINAHL, Embase, Global Health, MEDLINE, PsycINFO, Scopus, Sociological Abstracts, and Web of Science) and grey literature sources for peer-reviewed articles and grey reports on the health of black Canadians. Of the 14 121 articles screened, 43 were included in the review. Our review found spiritual support, resilience, collective culture, and culturally congruent support as facilitators of positive mental health of black people in Canada, while stigmatization, misconceptions, low uptake of mental services, and difficulties accessing mental health services were the most significant barriers. Strategies for improving the mental health of black people in Canada center on social, emotional, and community support. Our findings indicate the need for black stakeholder involvement in awareness creation and knowledge improvement, which will help to dispel the myths and misconceptions about mental health in black populations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.063
GPT teacher head0.494
Teacher spread0.431 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations4
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Social Determinants of Health and Health ServicesSame topicMigration, Health and TraumaFrench-language works237,207