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Record W2917303218 · doi:10.1111/inm.12580

Why go to the emergency department? Perspectives from persons with borderline personality disorder

2019· article· en· W2917303218 on OpenAlexaff
Amanda Vandyk, Andrea Bentz, Sarah Bissonette, Caitlyn Cater

Bibliographic record

VenueInternational Journal of Mental Health Nursing · 2019
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEmergency departmentBorderline personality disorderThematic analysisSuicidal ideationLonelinessPsychological interventionFeelingMedicineQualitative researchPsychologySuicide preventionPsychiatryPoison controlMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

Through this qualitative study, we explored frequent emergency department use by persons with borderline personality disorder from their perspective. Interpretive description guided the study design, and data were collected through interviews with six individuals diagnosed with borderline personality disorder who had at least 12 emergency department visits for reasons related to their mental illness within a 1-year timeframe. Using thematic data analysis, we articulate the participants' experiences through two broad themes: cyclic nature of emergency department use and coping skills and strategies. Unstable community management that leads to self- or crisis presentation to the emergency department often perpetuated emergency department use by our participants and the ensuing interventions aimed at acute stabilization. The participants identified a desire for human interaction and feelings of loneliness, failure of community resources (such as crisis lines or therapy), and safety concerns following suicidal ideation, self-harm, or substance use as the main drivers for their emergency department visits. Our participants identified several potential strategies to protect them against unnecessary emergency department use and improve their health care overall. More work is needed to explore the viability and effectiveness of these suggestions.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.386
Teacher spread0.366 · 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 designNot applicable
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

Citations50
Published2019
Admission routes1
Has abstractyes

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