Les soins médicaux de jeunes hommes et de jeunes femmes qui décèdent par suicide
Bibliographic record
Abstract
OBJECTIVE: Prior year medical care was compared among youth dying by suicide to their peers. Effect modification of these associations by age or place of residency (rural versus larger community sizes) was examined in a large, medically insured population. METHOD: This population-based case control study used data from the Office of the Chief Coroner in Ontario, Canada, linked to health care administrative data to examine associations between medical care for mental health or other reasons (versus no medical care) and suicide. Decedents ( n = 1203 males and n = 454 females) were youth (aged 10 to 25 years) who died by suicide in Ontario between April 2003 and March 2014, inclusive. Peers of the same ages were frequency matched to decedents on sex and place of residency. Logistic regression was used to calculate odds ratios and 95% confidence intervals and to test effect modification. RESULTS: Associations with mental health care were stronger in decedents than peers with a gradation of care (i.e., outpatient only, emergency department [ED], inpatient care) in both sexes. However, these associations were weaker among youth living in rural communities. Furthermore, older males (aged 18 to 25 years) were less likely than younger males (aged 10 to 17 years) to access the ED (ambulatory care only). This decrease was observed in rural and larger communities alongside no increase in medical care for other reasons. CONCLUSIONS: Geographical and age-related barriers to mental health care exist for youth who die by suicide. Preventive efforts can address these barriers, intervening early and integrating services, including the ED.
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.
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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".