‘It Just Feels Like an Invasion’: Black First-Episode Psychosis Patients’ Experiences With Coercive Intervention and Its Influence on Help-Seeking Behaviours
Bibliographic record
Abstract
Studies from the United States and United Kingdom have shown that Black patients are disproportionately diagnosed with psychosis and have received excess coercive medical intervention. There has been little discussion of this topic in Canada, and of how coercive interventions may have influenced Black patient attitudes towards mental health services. To address these issues, semi-structured interviews were administered to five Black men with first-episode psychosis (FEP) to (a) explore their experiences with coercive interventions and (b) describe how these experiences may have influenced help-seeking behaviours. Interpretative phenomenological analysis (IPA) was used to analyze the data. Four core themes and four additional themes emerged from the interviews. Patients described loneliness, not being heard, police contact and forced medication as influencing their attitudes towards mental health care. Further research is needed to develop reparative strategies to encourage reflection about and awareness of coercive intervention among Black FEP patients.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".