The Impact of Opening a Smoking Room on Psychiatric Inpatient Behavior Following Implementation of a Hospital-Wide Smoking Ban
Bibliographic record
Abstract
BACKGROUND: Psychiatric patients are significantly more likely to smoke than mentally healthy persons, presenting a challenge for inpatient psychiatric care when smoking bans are instituted. OBJECTIVE: To assess the impact of opening a smoking room within a psychiatric unit following a hospital smoking ban. STUDY DESIGN: A staff survey and a chart review of 180 inpatient admissions before and after the opening of a smoking room. RESULTS: Patient records revealed no significant differences between recorded indices of disruptive patient behavior before or after the smoking room opening. The staff survey identified a perceived beneficial impact on unit atmosphere, where less time was spent discussing smoking privileges and off-unit privileges were granted more appropriately. CONCLUSIONS: Implementation of a smoking room failed to reduce indices of disruptive patient behavior. Despite the absence of objective evidence, the attitude among staff was in support of allowing patients to smoke on the unit.
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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 | 0.002 |
| 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".