Chronic Psychotic Disorders and Correctional Involvement: A Population-Based Matched Case-Control Study in Ontario, Canada
Bibliographic record
Abstract
OBJECTIVE: Individuals with chronic psychotic disorders are overrepresented in correctional facilities, but little is known about factors that increase the risk of correctional involvement. The objective of this study was to compare individuals with chronic psychotic disorders who were released from correctional facilities in Ontario to individuals with chronic psychotic disorders but no correctional involvement on sociodemographic, clinical, and prior mental health-related health service utilization characteristics. METHOD: All individuals with chronic psychotic disorders who were released from a provincial correctional facility in Ontario in 2010 were matched (1:2) by age and sex to Ontario residents with chronic psychotic disorders and no correctional involvement. Covariates included sociodemographic (rural residence, marginalization such as residential instability quintile, material deprivation quintile, dependency quintile, and ethnic concentration quintile) and clinical (duration of chronic psychotic disorder and comorbidities) characteristics, and mental health-related health service utilization characteristics (primary care physician, psychiatrist and emergency department visits, and hospitalizations) 1 and 3 years prior to correctional involvement. The association between correctional involvement and prior health service utilization was measured by estimating incidence rate ratios using Poisson and negative-binomial regressions. RESULTS: = 6,393). Adjusting for sociodemographic and clinical variables, individuals with correctional involvement had a higher rate of mental health-related primary care physician visits, emergency department visits, and hospitalizations but a lower rate of psychiatrist visits prior to correctional involvement, compared to individuals without correctional involvement. CONCLUSIONS: Despite higher mental health-related comorbidities and higher rates of accessing acute mental health services among individuals with chronic psychotic disorders and correctional involvement, visits to psychiatrists prior to involvement were low.
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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 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".