Involuntary treatment of psychiatric inpatients certified under the Saskatchewan Mental Health Services Act in a secure forensic psychiatric treatment center
Bibliographic record
Abstract
A psychiatric patient prisoner is certified and treated involuntarily under the Saskatchewan Mental Health Services Act at the Regional Psychiatric Center if he/she is mentally ill, incapable of making treatment decision and is likely to cause harm to self or others. This retrospective study examined the treatment of certified patients during a 12-year period (1996 to 2007). A total of 112 patients were treated using 263 certifications during 163 separate hospital admissions. Fifty of all the certified patients (44.6%) required more than one certification, and out of these, 72% required another certification within three months of the first certification. Among those certified, schizophrenia and related psychosis (65.2%, n = 73), substance use disorder (50%, n = 56) and antisocial personality disorder (58%, n = 65) were the most common discharge diagnoses and antipsychotics, the most frequent discharge medications. Global Assessment of Functioning score of patients improved significantly (p < .05) from 43.6 at admission to 50.4 at discharge. This functional improvement may suggest a beneficial use of certification by keeping patients in treatment. This benefit may be enhanced if the statutory duration of certification can be increased to account for the length of time required for the adequate resolution of symptoms and to reduce the need for repeat certification.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".