Provider Types and Perceived Mental Health Discrimination in Health Care Settings: Results of a Canadian Nationally Representative Sample
Bibliographic record
Abstract
An exploratory investigation was conducted to assess the influence of provider types on a client's perception of mental health stigmatization in a health care setting. A subsample of respondents (n = 2,323) to the Canadian Community Health Survey-Mental Health was included in the analysis. We used multiple regression to investigate the potential associations between provider types and number of providers seen for persons with mental health concerns experiencing health-care-related stigma. Seeking help from some groups was associated with increased odds of experiencing health care provider stigma. Seeing more professionals was also associated with an increased likelihood of experiencing health care provider stigma. The results clarify that individuals who experience mental illness often perceive discrimination and prejudice when seeking mental health treatment. Given the impact of stigma on treatment-seeking behavior, it is plausible that some mental health providers are contributing to the client's choice not to seek care.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".