Treatment of acute behavioural disturbance: a UK national survey of rapid tranquillisation
Bibliographic record
Abstract
Rapid Tranquillisation (RT), defined as “the use of psychotropic medication to control agitated, threatening or destructive psychotic behaviour”, is a last resort pharmacological intervention. The withdrawal of the widely used droperidol in 2001 due to concerns over QTc prolongation may have increased the variability in RT practice across the UK. This paper reports on a UK wide survey of the practice of RT by psychiatrists. The survey pre-dated publication of NICE guidance on management of distributed behaviour. 257 questionnaires were received (response rate 22%). In comparison with previous surveys of this type, the overall quality of prescribing and monitoring has improved, although some apparently idiosyncratic practice remains. The majority of psychiatrists expressed concerns about prescribing and monitoring RT and would welcome an easy to use algorithm and associated training package. Findings are discussed in terms of training implications and BNF recommendations for high dose prescribing.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".