Mental health presentations to an inner-city accident and emergency department
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIMS AND METHOD To study the presentation, assessment and management of all patients attending St Thomas' accident and emergency (A&E) department with overt mental health problems. The method included a pragmatic definition of ‘overt mental health problems' and a range of strategies to maximise case ascertainment. RESULTS The department saw 565 presentations in a 3-month period. Patients were predominantly young, male, single, unemployed, housed outside the area served by the local primary care group and presented outside normal working hours. CLINICAL IMPLICATIONS This study confirms that A&E departments may be the most frequently used setting for urgent mental health assessments in central London. The patients attending differ from those using community mental health teams. It is argued that mental health liaison services based in inner-city A&E departments should be developed.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it