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Record W2561197209 · doi:10.1192/bjpo.bp.116.003871

A retrospective analysis of personality disorder presentations in a Canadian university-affiliated hospital's emergency department

2016· article· en· W2561197209 on OpenAlex
Sarah Penfold, Dianne Groll, Dane Mauer-Vakil, Jennifer Pikard, Megan Yang, Mir Nadeem Mazhar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBJPsych Open · 2016
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsQueen's University
Fundersnot available
KeywordsPersonalityPersonality disordersEmergency departmentPsychiatryMental healthEveningMedicineRetrospective cohort studyPsychologyFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Individuals with personality disorders often have extensive involvement with healthcare services including frequent utilisation of emergency departments. AIMS: The aim of this study was to identify factors associated with emergency department presentations by individuals with personality disorders. METHOD: A 12-month retrospective data analysis of all mental-health-related emergency department visits was performed. Age, gender, time and season of presentation, length of stay, mode of arrival and discharge arrangements for individuals with personality disorders were compared to individuals with other psychiatric diagnoses. RESULTS: There were 336 visits by individuals with personality disorders and 5290 visits by individuals with other psychiatric diagnoses. Individuals with personality disorders were significantly more likely to be female, young adults, brought in by police, arrive in the evening, discharged home and have a longer median length of stay. CONCLUSION: Knowing what factors are associated with emergency department presentations by individuals with personality disorders can help ensure that appropriately trained support staff are available. DECLARATION OF INTEREST: None. COPYRIGHT AND USAGE: © The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.021
GPT teacher head0.336
Teacher spread0.314 · 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