Incidence, Racial Disparities and Factors Related to Psychosis among Black Individuals in Canada: A Scoping Review
Bibliographic record
Abstract
ObjectiveBlack communities are increasingly concerned about psychosis, a worry echoed by provincial health-care systems across Canada. Responding to the lack of evidence on psychosis in Black communities, this scoping review examined the incidence and prevalence of psychosis, access to care (pathways to care, coercive referrals, interventions, etc.), treatments received, and stigma faced by individuals with psychosis.MethodTo identify studies, a comprehensive search strategy was developed and executed in December 2021 across 10 databases, including APA PsycInfo, CINAHL, MEDLINE and Web of Science. Subject headings and keywords relating to Black communities, psychosis, health inequalities, Canada and its provinces and territories were used and combined. The scoping review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping review (PRISMA-ScR) reporting standard.ResultsA total of 15 studies met the inclusion criteria, all of them conducted in Ontario and Quebec. Results highlight different disparities in psychosis among Black communities. Compared to other Canadian ethnic groups, Black individuals are more likely to be diagnosed with psychosis. Black individuals with psychosis are more likely to have their first contact with health-care settings through emergency departments, to be referred by police and ambulance services, and to experience coercive referrals and interventions, and involuntary admission. Black individuals experience a lower quality of care and are the ethnic group most likely to disengage from treatment.ConclusionThis scoping review reveals many gaps in research, prevention, promotion and intervention on psychosis in Black individuals in Canada. Future studies should explore factors related to age, gender, social and economic factors, interpersonal, institutional and systemic racism, and psychosis-related stigma. Efforts should be directed toward developing trainings for health-care professionals and promotion and prevention programs within Black communities. Culturally adapted interventions, racially disaggregated data, and increased research funding are needed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".