Sedative‐hypnotic prescription in an out‐patient mental health service in the north‐west
Bibliographic record
Abstract
Sedative‐hypnotic medications are commonly abused prescription drugs, which are commonly prescribed by psychiatrists. We aimed at studying benzodiazepine and related drug prescriptions among patients attending psychiatric out‐patient clinics of a hospital in East Lancashire. A total of 6.2 per cent of patients who attended the department in one representative week were prescribed benzodiazepine/related drugs. A majority of these had anxiety disorders, and anxiety was the major indication for prescription of these drugs. Diazepam, temazepam and related drugs like zopiclone/zolpidem were the most commonly prescribed. Most subjects had been on the drug for one to 12 months. The prescriptions were not in keeping with the BNF guidelines in most cases. The findings do not support the hypothesis of an unduly high prevalence of sedative prescriptions in this setting. The results highlight a need for complete documentation of various aspects of benzodiazepine prescriptions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".