Predictors of Unmet Need for Medical Care Among Justice-Involved Persons With Mental Illness
Bibliographic record
Abstract
OBJECTIVE: This cross-sectional study examined factors associated with unmet need for care from primary care physicians or from psychiatrists among clients enrolled in mental health court support programs in Toronto, Ontario. METHODS: The sample included adults admitted to these programs during 2009 (N=994). Both measures of unmet need were determined by mental health court workers at program intake. Predictors included client predisposing, clinical, and enabling variables. RESULTS: Twelve percent had unmet need for care from primary care physicians and 34% from psychiatrists. Both measures of unmet need were associated with having an unknown diagnosis, having no income source or receiving welfare, homelessness, and not having a case manager. Unmet need for care from psychiatrists was associated with symptoms of serious mental illness and current hospitalization. CONCLUSIONS: Obtaining care from psychiatrists appears to be a particular challenge for justice-involved persons with mental illness. Policies and practices that improve access warrant more attention.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".