MétaCan
Menu
Back to cohort
Record W2898838259 · doi:10.1177/1039856218810156

Widespread emergency department access block: a human rights issue in Australia?

2018· article· en· W2898838259 on OpenAlexaff
Stephen Allison, Tarun Bastiampillai, Richard O’Reilly, Steven S. Sharfstein, David Castle

Bibliographic record

VenueAustralasian Psychiatry · 2018
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsMental healthEmergency departmentMedicineMedical emergencyHealth carePsychiatryPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE:: There are increasing demands on emergency psychiatrists with higher numbers of mental health presentations, and longer stays in emergency departments (EDs). Australia, like other English speaking countries, funds considerably lower numbers of psychiatric beds than average for Organisation for Economic Co-operation and Development (OECD) countries. Consequently, acute bed occupancy is high, and a bed is frequently unavailable when a person needs admission. Patients with serious mental illness can wait days in busy and overstimulating EDs, become agitated and assaultive, and then require chemical and physical restraint. All patients have a right to safe high quality care, but the paucity of beds deprives patients of this right. The Australasian College of Emergency Medicine recommends reporting ED access block to health ministers, and human rights and/or health rights commissioners, and recommends increased funding for inpatient psychiatric care, emergency mental health and after-hours community services, together with more alcohol and other drug programs. CONCLUSIONS:: It is challenging for emergency physicians and psychiatrists to provide optimal care for acutely unwell patients who stay extended periods in the ED. Increasing the availability of inpatient care must be considered as part of a comprehensive solution for minimising ED lengths of stay in Australia.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.311
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.376
Teacher spread0.346 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAustralasian PsychiatrySame topicEmergency and Acute Care StudiesFrench-language works237,207