Evaluating the Use of a Psychiatric Intensive Care Unit: Is Ethnicity a Risk Factor for Admission?
Bibliographic record
Abstract
OBJECTIVE: This paper presents a descriptive study, undertaken in 1993, of a Psychiatric Intensive Care Unit (PICU) serving a deprived inner-city area, investigating the role of ethnicity as a risk factor for admission to the unit. METHODS: Clinical and demographic data were collected on consecutive admissions to a PICU. Global Assessment of Function Scale scores were rated on admission and at discharge from the unit. RESULTS: The majority of patients were male (63%) and the commonest DSM-IV diagnoses were schizophrenia (42%) and bipolar affective disorder (24%). Average length of stay was 13 days with patients making significant improvement in functioning during their stay. Fifty-five percent of PICU admissions came from ethnic minorities (compared with 25.6% of total hospital admissions and 20.9% of the local catchment area population aged between 16 and 65 years). There was no evidence that ethnic minority patients were being inappropriately admitted to the PICU. CONCLUSIONS: It is likely that a variety of factors contributed to the high rate of PICU admission amongst ethnic minority patients, including an increased prevalence of major mental illness and more frequent cannabis abuse.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".