Suicide, the main cause of referral of patients from a general hospital for psychiatric evaluation
Bibliographic record
Abstract
Introduction: Psychiatric emergencies constitute between 1% - 10% of general emergencies in Spain, of which a quarter will end up being hospital admissions. There is little literature on patients who are referred from general to specialized hospitals. Methods: Cross-Sectional study of all the patients referred in 2018. Sociodemographic variables and clinical variables, such as diagnosis and discharge destination, were analyzed. An analysis was performed by comparing means with the Chi Square test. Results: 433 derived emergencies were analyzed. Most of the patients were women. The main reason for derivation were suicide attempts. Of those patients, 40% required hospitalizations. More than 50% of the derived emergencies were referred to the home and followed up on an outpatient basis. Conclusion: Most derived emergencies are referred to the home after evaluation. This implies that most are not life-threatening and that with adequate tools for evaluating suicide risk, we could avoid transfers and improve the resolution of these cases.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".