Comparison of Users and Non-Users of Mental Health Services Among Depressed Women: A National Study
Bibliographic record
Abstract
Risk factors for major depressive episodes (MDE), determinants of not seeking treatment for it and types of health care service accessed by women who received treatment for MDE were examined using data collected in the Health and Mental Health cycle of the Canadian Community Health Survey, 2002. Of the 1,186 women with MDE, 45% did not receive treatment for it. The highest rates of MDE were found among women under 30 years of age, single mothers with young children, low income women, those with chronic health conditions, high levels of daily stress and low levels of social support. The odds of not seeking treatment for MDE were highest for single mothers with adult children, women with low social support and those with little formal education. The type of mental health services accessed by women with MDE was strongly associated with their age, education, length of time in Canada, language skills, income adequacy, physical health, stress level and chronic health conditions. Our findings signify a need for screening women at high risk of depression, especially those identified as more likely not to seek treatment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".