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Record W3027014105 · doi:10.1186/s12913-020-05291-6

Experience of emergency department use among persons with a history of adverse childhood experiences

2020· article· en· W3027014105 on OpenAlexaff
Eva Purkey, Colleen Davison, Meredith MacKenzie Greenle, Tracey Beckett, Daniel Korpal, Katherine Soucie, Susan A. Bartels

Bibliographic record

VenueBMC Health Services Research · 2020
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsSt. Michael's HospitalWestern UniversityKingston Health Sciences CentreQueen's University
Fundersnot available
KeywordsMedicineEmergency departmentThematic analysisQualitative researchDistressTriageNursing researchHealth carePatient experienceOvercrowdingAdverse Childhood ExperiencesNursingMental healthFamily medicinePsychiatryClinical psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Adverse childhood experiences (ACEs) are associated with increased morbidity and mortality, lower levels of distress tolerance, and greater emotional dysregulation, as well as with increased healthcare utilization. All these factors may lead to an increased use of emergency department (ED) services. Understanding the experience of ED utilization among a group of ED users with high ACE scores, as well as their experiences as viewed through the lens of a trauma and violence informed care (TVIC) framework, could be important to their provision of care. METHODS: This is the qualitative portion of a larger mixed methods study. Twenty-five ED users with high ACE scores completed in depth interviews. Thematic analysis of the interview transcripts was undertaken and directed content analysis was used to examine the transcripts against a TVIC framework. RESULTS: The majority of participants experienced excellent care although challenges to this experience were faced by many in the areas of registration and triage. Some participants did identify negative experiences of care and stigma when presenting with mental health conditions and pain crises, as did participants who perceived that they were considered "different" (dressed differently, living in poverty, young parents, etc.). Participants were thoughtful about their reasons for seeking ED care including lack of timely access to their family doctor, perceived urgency of their condition, or needs that fell outside the scope of primary care. Participants' experiences mapped onto a TVIC framework such that their needs and experiences could be framed using a TVIC lens. CONCLUSIONS: While the ED care experience was excellent for most participants, even those with a trauma history, there existed a subset of vulnerable patients for whom the principles of TVIC were not met, and for whom implementation of trauma informed care might have a positive impact on the overall experience of care. Recommendations include training around TVIC for ED leadership, staff and physicians, improved access to semi-urgent primary care, ED patient care plans integrating TVIC principles, and improved support for triage nurses and registration personnel.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.102
GPT teacher head0.402
Teacher spread0.300 · 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

Citations38
Published2020
Admission routes1
Has abstractyes

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