Systematic Services Audit of Consecutive Suicides in New Brunswick: The Case for Coordinating Specialist Mental Health and Addiction Services
Bibliographic record
Abstract
OBJECTIVE: To weight the potential of promotion, prevention, and treatment programs to help establish priorities in multipronged suicide prevention strategies. METHODS: Psychological autopsy methods served to collect information on consecutive suicides over 14 months in New Brunswick (n = 102). A panel of researchers, clinicians, provincial planners, and consumers reviewed the cases and applied a systematic needs assessment procedure to establish interventions and services received, unmet needs at the individual level, and programmatic and systemic shortcomings. RESULTS: More than two-thirds of the individuals suffered from a depressive disorder and a similar proportion from substance (essentially alcohol) abuse or dependence; one-half also presented a personality disorder. In the last year, more than one-half had been in contact with a mental health services specialist, but less than 5% had contact with addiction services, though one-third had previous contact in their lifetime. In one-third of the cases, service gaps called for greater coordination and integration of mental health specialists and addiction services within the health care system. In one-half of the cases, system needs were found to be unmet for public awareness efforts aimed at encouraging individuals to consult health and social services professionals, and in terms of training efforts geared to improving detection, treatment, and referral for mental illness, substance-related problems, and suicidal behaviour by primary medical, social, and specialist services. CONCLUSION: This study supports multipronged suicide prevention strategies that should include integrated public promotion, professional development campaigns, and better program coordination. Authorities in New Brunswick have opted to favour the latter strategy component, whose development and application must be evaluated to determine its impact on suicide rates.
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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 | 0.010 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".