Frontline Staff Perceptions of the Safewards Model on a Forensic Psychiatric Unit in Canada
Bibliographic record
Abstract
Aim and Method: The Safewards model is an evidence-based program designed to increase safety on inpatient psychiatric wards. This qualitative study sought to obtain feedback regarding the Safewards program from frontline staff on an inpatient forensic unit, three years after implementation of the program, in order to determine their opinions on if the program was effective, and how the program could be improved. Results: The majority of staff expressed that Safewards is an effective and useful program that was worth the time it took to implement, and expressed some suggestions for improvement. More experienced staff are more likely to feel that the program is unnecessary, and newer staff are more likely to feel that they lack sufficient training. Clinical Implications: This feedback, taken in consideration with studies that show that Safewards is effective at reducing rates of conflict and containment, could be useful to other inpatient psychiatric wards considering implementing the Safewards program.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".