Profiles of Patients Admitted to a Psychiatric Intensive Care Unit: Secluded with or without Restraint
Bibliographic record
Abstract
OBJECTIVE: To identify and describe the profiles of patients admitted to a psychiatric intensive care unit (PICU) as they relate to seclusion and restraint. METHOD: Multiple correspondence analysis (MCA) and cluster analysis were performed with data for 114 patients admitted to a PICU from June 8, 2010, to June 7, 2011. RESULTS: The MCA revealed that the presence or absence of seclusion and restraint was the main factor explaining the variance. Admitted patients fall into 5 profiles, 2 of which are significantly associated with seclusion and restraint: young psychotic men and women with bipolar disorder. CONCLUSIONS: The differentiation of patient profiles as they relate to seclusion and restraint should lead to the development of profile-specific interventions before, during, and after seclusion and restraint.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 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".