Medical Chart Review to Explore Suicidal and Self-Harm Thoughts and Behavior Among Psychiatric Inpatients
Bibliographic record
Abstract
Suicide and self-harm events are elevated in psychiatric inpatient populations. In this study, health data were retrospectively collected from the medical records of 183 patients (97 civil and 86 forensic) who had resided in, or been admitted to, a public psychiatric hospital in Saskatchewan, Canada from April 1 to December 31, 2021. Descriptive and inferential analyses were conducted to estimate prevalence and correlates of (non-fatal) suicide and self-harm events, including recent and lifetime occurrences, according to patients' health information. Nearly two-thirds (62%) of patients had any record of non-fatal suicide or self-harm events, including a lifetime history of self-harm (42%) and suicidal behavior (37%) as well as recent self-harm (24%) and suicidal (31%) thoughts or behaviors. Forensic patients were significantly more likely to have a record of suicide and self-harm events. This study emphasizes the need for further research into the course of suicidality and self-harm in psychiatric inpatients.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 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) | 0.002 | 0.001 |
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".