Mental health needs of homeless and recently housed individuals in Canada: A meta‐ethnography
Bibliographic record
Abstract
Homeless individuals are disproportionately likely to experience mental health conditions, and typically face many systemic barriers to access mental health services. This study sought to determine the mental health needs of homeless and recently housed individuals in Canada. A meta-ethnography was conducted to synthesise existing qualitative data and translate themes across a broader context. Thirty-five studies on the experiences of 1511 individuals with a history of homelessness were included. Themes were interpreted by comparing and contrasting findings across multiple contexts. Distinct, yet highly interrelated, unmet mental health needs were revealed through personal narratives of trauma, stigmatisation, victimisation, and a lack of basic necessities. Six themes that characterised this population's mental health needs were ontological security, autonomy, hope and purpose, empowerment, social connection and belonging, and access to services. This study revealed homeless individuals' unmet mental health needs to inform social and policy change and improve psychological well-being.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".