Consultations médicales et types de services de santé utilisés dans les deux années précédant le suicide auprès des Québécois diagnostiqués avec et sans troubles mentaux et troubles avec utilisation de substances
Bibliographic record
Abstract
Objectives Population based studies on linked health administrative databases (HADBs) characterizing those who die by suicide and their use of health services are rare. The objectives of this study were to describe the use of health services among people who died by suicide in Quebec, with and without previously receiving a mental disorder (MD) and dependencies (D) (MD/D) diagnosis, and (2) living Quebecers diagnosed with MD/D. Methods This study is based on an analysis of data from the Integrated Chronic Disease Surveillance System of Quebec (SISMACQ), which combines databases on outpatient medical and emergency services and hospitalizations. The population of the study consists of Quebecers aged 15 years and over and insured between April 1, 1996 and March 31, 2013 under the Régie de l'assurance maladie du Québec (RAMQ). For the purposes of this study, the 7 years preceding suicide were examined in the HADBDS for the three following cohort groups: (i) cases of suicide with a diagnosed MD/D in the 7 years preceding the date of death; (ii) cases of suicide without a MD/D diagnosis in the 7 years preceding the date of death; and (iii) a control group of living persons at the time of death of the suicide case (5 controls, 1 case) with a MD/D diagnosis within 7 years matched by region, sex and age group of the case. Results The results show that cases of suicide without a MD/D (about 25% of suicide cases) were less likely to have consulted than those with a MD/D. Suicide cases with and without a MD/D were less likely to be heavy users of ambulatory health services (≥ 4 visits) than matched living controls. They were also more likely to consult for a physical disorder alone and less likely to consult for mental health reasons. Compared to cases of suicide with a MD/D, suicide cases without MD/D were less likely to be hospitalized and more likely to have visited only an emergency room. Suicide cases diagnosed with a MD/D were more likely to be hospitalized and use emergency services alone than the other two groups. Matched living controls with a MD/D were more likely to use outpatient services alone. Conclusions These results should be compared with those emerging from systematic suicide case audits. These show a prevalence of mental disorders of 90%, especially depression, personality disorders and substance use disorders. They also show deficits in the recognition and treatment of mental disorders, which would correspond to the 25% of cases of suicide in the HADBs not diagnosed in the last 7 years. Future studies should include multivariate analyses to better elucidate health service use trajectories and patient vulnerability profiles.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".