Barriers to care for mental health conditions in Canada
Bibliographic record
Abstract
There are growing concerns in Canada about access barriers to quality mental health care, which has worsened significantly by the COVID-19 pandemic and for some Canadians more than others. With a nationally representative sample of 1501 adults, surveyed by the Angus Reid Institute, this study examined the mental health conditions Canadians experience the most difficulties in accessing care. Among half of the respondents who sought mental health care, the majority encountered challenges in accessing help for posttraumatic stress disorder (PTSD) (34%) and depression (33%). When examining the data based only on those seeking care for specific conditions, attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), substance use disorders, and generalized anxiety disorder (GAD) emerged as those for which it was most difficult to find treatment. Indigenous and Black Canadians had significantly more difficulty finding care across several conditions. We discuss the implications of these findings, including the critical need to increase the supply and diversity of mental health providers across Canada. This study is one of the first to provide quantitative data on the perceived barriers in accessing mental health care, while exploring the role of race and ethnicity and other social identities.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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 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".