A quarter of century after: The changing ecology of psychiatric emergency services
Bibliographic record
Abstract
INTRODUCTION: Previous studies demonstrated a trend of increasing common mental disorders among the Emergency Department (ED) visitors in Western countries. Little is known about the current conditions of the emergency psychiatric services in Asian countries. This study aims to survey the current epidemiology and the changing ecology of emergency psychiatry services in Taiwan. METHODS: A total of 804 psychiatry consultations were initiated at the ED during the 1-year period from July 1, 2014 to June 30, 2015 in a medical center in northern Taiwan. Clinical data of gender, age, chief complaints, tentative diagnoses, dispositions, and ED staying hours were compared to a previous report in the same hospital in 1988. RESULTS: Psychiatry consultation was initiated in 0.72% of all ED visits (804/111,923). Among these visits, females were 1.73 times of the males. The most common chief complaints were psychosis/mania (33.5%) and suicide/self-harm (33.2%), followed by homicide/violence (12.8%) and anxiety/depression (10.3%). Top tentative diagnoses were schizophrenia spectrum and other psychotic disorders (31.3%), trauma- and stressor-related disorders (17.5%), bipolar disorders (15.9%), and depressive disorders (14.2%). Compared to 1988, there are three major changes: (1) over-representation of female patients, (2) an increase of "neurosis" patients, and (3) an increase of suicide/self-harm as chief problem. DISCUSSION: This study portrays the current epidemiology and changing ecology of psychiatric emergency in Taiwan. The increase of neurotic and suicide/self-harm patients requires more services and clinical training in managing common mental disorders and suicide in the ED.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".