Mental Health Screening and Differences in Access to Care among Prisoners
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective:Disparities in mental health care exist between regional and demographic groups. While screening is recommended as part of a correctional mental health strategy, little work has been done to explore whether it can narrow regional and demographic disparities in access to care. We compared treatment access rates by sex, race, age, and region in relation to screening results.Methods:We conducted a retrospective cohort study using administrative data. All 7965 admissions to the prison system were followed for a median of 14 months.Results:Males and non-Indigenous minority racial groups had lower rates of treatment regardless of screening results; they were less likely both to self-report needs and to receive treatment if these needs were reported. Regional differences revealed higher treatment rates in Atlantic Canada and Ontario, as well as higher rates of inmates self-reporting needs on screening who did not receive treatment in the Atlantic, Québec, and Pacific regions. There were minimal differences between inmates of different age groups.Conclusions:Findings suggest potential resource gaps and/or differences in the performance of screening to detect mental health needs across demographic and regional groups. Screening did not narrow, and may have widened, differences between groups.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 it