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Record W2942332521 · doi:10.7202/1058614ar

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

2019· article· fr· W2942332521 on OpenAlexaffvenueabout
Helen‐Maria Vasiliadis, Catherine Lamoureux‐Lamarche, Louis Rochette, Pascale Lévesque, Éric Pelletier, Alain Lesage

Bibliographic record

VenueSanté mentale au Québec · 2019
Typearticle
Languagefr
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsInstitut universitaire en santé mentale de MontréalUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.029
GPT teacher head0.331
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2019
Admission routes3
Has abstractyes

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