MétaCan
Menu
Back to cohort
Record W2494085971 · doi:10.1176/appi.ps.201500547

Psychiatric Hospitalizations: A Comparison by Gender, Sociodemographics, Clinical Profile, and Postdischarge Outcomes

2016· article· en· W2494085971 on OpenAlexaffabout
Simone N. Vigod, Paul Kurdyak, Kinwah Fung, Andrea Gruneir, Nathan Herrmann, Neesha Hussain‐Shamsy, Marly Isen, Elizabeth Lin, Paula A. Rochon, Valerie H. Taylor, Dallas Seitz

Bibliographic record

VenuePsychiatric Services · 2016
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsMedicineConfidence intervalOdds ratioPsychiatryEmergency departmentMoodDemographyInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.032
GPT teacher head0.362
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2016
Admission routes2
Has abstractyes

Explore more

Same venuePsychiatric ServicesSame topicSuicide and Self-Harm StudiesFrench-language works237,207