Sex Differences in Psychiatric Hospitalizations of Individuals With Psychotic Disorders
Bibliographic record
Abstract
We aimed to evaluate the association between sex and hospitalization characteristics in psychotic disorders. We identified all acute hospitalizations, between 2010 and 2013, for psychotic disorders in patients younger than 45 and older than 55 years (n = 5411) in the hospital's database. In addition, we identified patients who were prescribed with intramuscular risperidone (n = 280) or clozapine (n = 192) at discharge. The results showed that women younger than 45 years had lower proportions of hospitalizations (33.52% vs. 66.47%) and involuntary hospitalizations (33.85% vs. 45.55%) than did men in the same age group. Women older than 55 years had higher proportions of hospitalizations (57.22% vs. 42.77%) and similar proportion of involuntary hospitalizations. Women younger than 45 years were prescribed similar doses of intramuscular risperidone and lower doses of clozapine (345.8 vs. 380.2 mg) and women older than 55 years were prescribed higher doses of intramuscular risperidone (44.8 vs. 34.4 mg/2 weeks) and clozapine (164.32 vs. 154.5 mg) than were men in the same age group. Women in the reproductive years have better hospitalization characteristics than do men on these measures.
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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 | 0.001 |
| 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) | 0.002 | 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".