Gender differences in general and specialty outpatient mental health service use for depression
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
BACKGROUND: This study ascertained gender-specific determinants of outpatient mental health (MH) service use for depression to highlight any gender disparities in barriers to care and explain how depressed men and women in need of care might differ in their help-seeking behaviour. METHODS: Data used in this study came from the Canadian Community Health Survey on Mental Health and Well Being, cycle 1.2 (CCHS 1.2) conducted by Statistics Canada in 2002 (N = 36,984). The sample was limited to respondents filling criteria for a probable major depression in the 12 months prior to the interview (n = 1743). Gender-specific multivariate logistic regression analyses were carried out. RESULTS: The results showed that 54.3% of respondents meeting criteria for major depression had consulted for mental health reasons in the year prior to interview. When looking at type of outpatient mental health service use, males were more likely to consult a general practitioner and a mental health specialist in the past year as opposed to females. However, females were more likely to consult a general practitioner only as opposed to no service use than males. Gender specific differences in determinants associated with outpatient service use included for males, lower adjusted household income, and for females, a younger age, the presence of social support, self-reported availability barriers, the presence of self-reported suicidal thoughts or attempt and a poorer self- perceived mental health. CONCLUSIONS: Continued efforts to promote access to mental health care are needed for men and women affected by depression, and this, to target specific vulnerable populations and increase utilization rates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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