Adults' use of health services in the year before death by suicide in Alberta.
Bibliographic record
Abstract
BACKGROUND: The suicide rate in Alberta is consistently above the Canadian average. Health care use profiles of those who die by suicide in Alberta are currently unknown. DATA AND METHODS: Death records were selected for people aged 25 to 64 with suicide coded as the underlying cause of death from April 1, 2003 to March 31, 2006. The death records were linked to administrative records pertaining to physician visits, emergency department visits, inpatient hospital separations, and community mental health visits. The control group was the Alberta population aged 25 to 64 who did not die by suicide. Frequency estimates were produced to determine the characteristics of the study population. Odds ratios relating to demographics, exposure to health care services, and case-control status were estimated with logistic regression. RESULTS: Almost 90% of suicides had a health service in the year before their death. Suicides averaged 16.6 visits per person, compared with 7.7 visits for non-suicides. Much of the health service use among people who died by suicide appears to have been driven by mental disorders. INTERPRETATION: Information about health service delivery to those who die by suicide can guide prevention and intervention efforts.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".