Clinical Characteristics and Service Use of Incarcerated Males with Severe Mental Disorders: A Comparative Case-Control Study with Patients Found Not Criminally Responsible
Bibliographic record
Abstract
Since the drop in the bed capacity of civil psychiatric hospitals, an increase in the bed capacity of forensic psychiatric care and prison units has been reported in the United States and Europe. However, in Canada, a decrease in the number of people with severe mental illness (SMI) during the last two decades in penitentiaries has been reported. At the same time, an increase in individuals found not criminally responsible on account of mental disorder (NCRMD) was observed in forensic hospitals. The aim of this study is to compare incarcerated severely mentally ill (I-SMI) individuals with forensic-hospitalized SMI individuals in terms of their clinical profiles and service use in the province of Quebec (Canada). A case-control study design was selected using a sample of 44 I-SMI individuals and 59 forensic-hospitalized SMI individuals. Important findings include the following: I-SMI persons had less schooling; they more often reported suicide attempts and violent and non-violent crimes; and they had a higher level of comorbidity involving Cluster B personality disorders and substance-use disorders. Forensic-hospitalized SMI persons were more likely to have been receiving psychiatric follow-up before hospitalization. The final logistic regression model showed that lifetime suicide attempts, non-violent crimes, and psychopathic traits were higher among I-SMI individuals than among forensic-hospitalized SMI individuals. In contrast, receiving regular psychiatric follow-up was associated with forensic-hospitalized SMI individuals. Differences in psychopathological characteristics and the use of mental health services were found for I-SMI persons. More research is needed to determine which new initiatives might be efficacious in addressing the mental health needs of I-SMI individuals.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".