Gender Differences in Youth Suicide and Healthcare Service Use
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: Healthcare service use among suicide decedents must be well characterized and understood since a key strategy for preventing suicide is to improve healthcare providers' ability to effectively detect and treat those in need. AIMS: To determine gender differences in healthcare service use 12 months prior to suicide. METHOD: Data for 1,231 young Quebec residents (≤ 25 years) who died by suicide between 2000 and 2007 were collected from public health insurance agency databases and coroner registers. Healthcare visits were categorized according to the setting (emergency department [ED], outpatient, and hospital) and their nature (mental health vs. non-mental health). RESULTS: Girls were more likely than boys (82.5% vs. 74.9%, p = .011) to have used healthcare services in the year prior to death. A higher proportion of girls had used outpatient services (79.0% vs. 69.5%, p = .003), had been hospitalized (25.7% vs. 15.6%, p < .001) and had received a mental health-related diagnosis (46.7% vs. 33.1%, p < .001). However, no gender differences were observed in ED visits (59.5% vs. 54.5%, p = .150). CONCLUSION: There is an important proportion of suicide decedents who did not receive a mental health diagnosis and healthcare services in the year prior to death. Future studies should focus on examining gender-specific individual and health system barriers among suicide decedents as well as the quality of care offered regarding detection and treatment.
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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 | 0.000 | 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