Mental Health Services Use Trends in Canadian Veterans: A Population-Based Retrospective Cohort Study in Ontario
Bibliographic record
Abstract
OBJECTIVE: A substantial evidence base in the peer-reviewed literature exists investigating mental illness in the military, but relatively less is documented about mental illness in veterans. This study uses provincial, administrative data to study the use of mental health services by Canadian veterans in Ontario. METHOD: This was a retrospective cohort study of Canadian Armed Forces and Royal Canadian Mounted Police veterans who were released between 1990 and 2013 and resided in Ontario. Mental health-related primary care physician, psychiatrist, emergency department (ED) visits, and psychiatric hospitalisations were counted. Repeated measures were presented in 5-year intervals, stratified by age at release. RESULTS: The cohort included 23,818 veterans. In the first 5 years following entry into the health care system, 28.9% of veterans had ≥1 mental health-related primary care physician visit, 5.8% visited a psychiatrist at least once, and 2.4% received acute mental health services at an ED. The use of mental health services was consistent over time. Almost 8% of veterans aged 30 to 39 years saw a psychiatrist in the first 5 years after release, compared to 3.5% of veterans aged ≥50 years at release. The youngest veterans at release (<30 years) were the most frequent users of ED services for a mental health-related reason (5.1% had at least 1 ED visit). CONCLUSION: Understanding how veterans use the health care system for mental health problems is an important step to ensuring needs are met during the transition to civilian life.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".