Patients assessed by the liaison psychiatric team in the emergency department of a regional hospital in Canada – general characteristics and gender differences
Bibliographic record
Abstract
OBJECTIVE: To describe the characteristics of liaison psychiatric patients in the emergency department (ED) of a medium sized hospital in the oil sands region of Northern Alberta. METHODS: ED psychiatry services users were evaluated using a data assessment tool designed to capture all relevant demographic and clinical characteristics. RESULTS: Overall, 477 patients (48.2% male) were assessed by the psychiatric team over the 12 month period. There was a fairly balanced distribution by age, ethnicity and relationship status between both sexes. The majority of patients with a history of self-harm or childhood sexual abuse were female while male patients were significantly more likely to report medication non-compliance. A higher proportion of female patients had depressive disorders and personality disorders while a higher proportion of male patients had anxiety disorders, bipolar and related disorders, schizophrenia spectrum disorders and substance-related disorders. Nearly one in five patients was admitted for inpatient treatment with a significantly higher proportion of males being admitted involuntarily. CONCLUSIONS: There were sex-specific differences in many of the demographic and clinical measures in our ED psychiatric sample. These differences indicate a potential need for targeted education and service initiatives to promote better access to psychiatric services and treatment outcomes.
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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 | 0.002 |
| 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) | 0.000 | 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".