Street triage services in England: service models, national provision and the opinions of police
Bibliographic record
Abstract
Aims and methodStreet triage services are increasingly common and part of standard responses to mental health crises in the community, but little is understood about them. We conducted a national survey of mental health trusts to gather detailed information regarding street triage services alongside a survey of Thames Valley police officers to ascertain their views and experiences. RESULTS: Triage services are available in most areas of the country and are growing in scope. There is wide variation in levels of funding and modes of operation, including hours covered. Police officers from our survey overwhelmingly support such services and would like to see them expanded.Clinical implicationsMental health crises now form a core part of policing and there are compelling reasons for the support of specialist services. Recent changes to the law have heightened this need, with a requirement for specialist input before a Section 136 is enacted. Those who have experienced triage services report it as less stigmatising and traumatic than a traditional approach, but there remains little evidence on which to base decisions.Declaration of interestNone.
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".