Prevalence of Mental Health and Addiction Service use Prior to and During Incarceration in Provincial Jails in Ontario, Canada: A Retrospective Cohort Study
Bibliographic record
Abstract
OBJECTIVE: Individuals with mental illness and addiction are overrepresented in prisons. Few studies have assessed mental health and addiction (MHA)-related service use among individuals experiencing incarceration using health administrative data and most focus on service use after prison release. The objective of this study was to determine the prevalence of MHA-related service use in the 5 years prior to and during incarceration. METHODS: We used linked correctional and administrative health data for people released from Ontario provincial jails in 2010. MHA-related service use in the 5 years prior to the index incarceration was categorized hierarchically into four mutually exclusive categories based on the type of service use: psychiatric hospitalization, MHA-related emergency department (ED) visit, MHA-related outpatient visit (from psychiatrist or primary care physician), and no MHA-related service use. Demographic, diagnostic, and incarceration characteristics were compared across the four service use categories. MHA-related service use during the index incarceration was assessed by category and length of incarceration. RESULTS: A total of 48,917 individuals were included. Prior to incarceration, 6,116 (12.5%) had a psychiatric hospitalization, 8,837 (18.1%) had an MHA-related ED visit, and 15,866 (32.4%) had an MHA-related outpatient visit. Of the individuals with any MHA-related service prior to incarceration, 60.4% did not receive outpatient care from a psychiatrist prior to incarceration and 65.6% did not receive MHA-related care during incarceration. CONCLUSION: Despite a high prevalence of mental illness and addiction among people experiencing incarceration, access to and use of MHA-related care prior to and during incarceration is poor. Increasing the accessibility and use of MHA-related services throughout the criminal justice pathway is warranted.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".