Perceived Unmet Need for Mental Health Care for Canadians With Co-occurring Mental and Substance Use Disorders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Previous analyses demonstrated an elevated occurrence of perceived unmet need for mental health care among persons with co-occurring mental and substance use disorders in comparison with those with either disorder. This study built on previous work to examine these associations and underlying reasons in more detail. METHODS: Secondary data analyses were performed on a subset of respondents to the 2002 Canadian Community Health Survey (unweighted N=4,052). Diagnostic algorithms classified respondents by past-year substance dependence and selected mood and anxiety disorders. Logistic regressions examined the associations between diagnoses and unmet need in the previous year, accounting for recent service use and potential predisposing, enabling, and need factors often associated with help seeking. Self-reported reasons underlying unmet need were also tabulated across diagnostic groups. RESULTS: Of persons with a disorder, 22% reported a 12-month unmet need for care. With controls for service use and other potential confounders, the odds of unmet need were significantly elevated among persons with co-occurring disorders (adjusted odds ratio=3.25; 95% confidence interval=1.96-5.37). Most commonly, the underlying reason involved a preference to self-manage symptoms or not getting around to seeking care, with some variation by diagnosis. CONCLUSIONS: The findings highlight potential problems for individuals with mental and substance use disorders in accessing services. The elevated occurrence of perceived unmet need appeared to be relatively less affected by contact with the health care system than by generalized distress and problem severity. Issues such as stigma, motivation, and satisfaction with past services may influence help-seeking patterns and perceptions of unmet need and should be examined in future work.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it