Screening for psychiatric morbidity in police custody: results from the HELP-PC project
Bibliographic record
Abstract
Aims and method To ascertain the efficacy of custody health screening for mental disorders. We assessed a sample of detainees for the presence of mental disorders and the need for an appropriate adult. The assessments were carried out using pragmatic interviews and examinations supported by structured tools. Where possible, we attributed a probable clinical diagnosis based on the information available to us. The need for an appropriate adult was judged based on this information and capacity assessments. Results Existing screening procedures missed a quarter of cases of severe mental illness and moderate depression; they also failed to detect about a half of those at risk of alcohol withdrawal and 70% of those at risk of withdrawal from crack cocaine. The need for an appropriate adult was not recognised in more than half of cases. Clinical implications Consideration should be given to modifying police screening procedures for mental and associated disorders so that detainees receive the appropriate attention.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 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".