Psychiatric Hospitalizations: A Comparison by Gender, Sociodemographics, Clinical Profile, and Postdischarge Outcomes
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to identify differences between men and women hospitalized for psychiatric conditions. METHODS: Men and women with an inpatient psychiatric hospitalization in Ontario, Canada, between 2008 and 2013 (N=95,055) were compared on sociodemographic characteristics, health history, and clinical profiles and on 30-day and 90-day postdischarge readmission, emergency department (ED) visits, self-harm, and death. RESULTS: Compared with men, women were older and more likely to be educated, to live with a partner, and to report trauma history. Mood disorders were more common among women; psychotic and substance use disorders were more common among men. Postdischarge, there was no difference in either readmission or ED revisits. Compared with men, women had greater risk of self-harm at 30 days (adjusted odds ratio [AOR]=1.17, 95% confidence interval [CI]=1.04-1.32) and at 90 days (AOR=1.28, CI=1.17-1.39). Death was rare (<1%), with women at lower risk at both 30 days (AOR=.49, CI=.38-.63) and 90 days (AOR=.53, CI=.45-.63). CONCLUSIONS: These data can inform inpatient psychiatric service delivery for both men and women.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".