Evidence map›Paper›PMID 39282997›Full record

ArticleInternational journal of mental health nursing2025

Sociodemographic Factors and Presentation Features of Individuals Seeking Mental Health Care in Emergency Departments: A Retrospective Cohort Study.

Oliver Higgins, Rachel B Sheather-Reid, Stephan K Chalup, Rhonda L Wilson

Abstract read
In one paragraph

Article in International journal of mental health nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Oliver HigginsRMIT University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-6545-145X
Rachel B Sheather-ReidCentral Coast Local Health District, New South Wales, Australia.ORCID https://orcid.org/0009-0006-9282-2408
Stephan K ChalupSchool of Information and Physical Sciences (Computer Science and Software Engineering), University of Newcastle, Newcastle, Australia.ORCID https://orcid.org/0000-0002-7886-3653
Rhonda L WilsonRMIT University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9252-2321

Funding

Partial financial support was received from the NSW Ministry of Health as part of the Towards Zero Suicides initiative
6 · The paper itself

Abstract

Emergency Department (ED) presentations for Mental Health (MH) help-seeking have been rising rapidly, with EDs as the main entry point for most individuals in Australia. The objective of this retrospective cohort study was to analyse the sociodemographic and presentation features of people who sought mental healthcare in two EDs located in a regional coastal setting in New South Wales (NSW), Australia from 2016 to 2021. This article is a part of a broader research study on the utilisation of machine learning in MH. The objective of this study is to identify the factors that lead to the admission of individuals to an MH inpatient facility when they seek MH care in an ED. Data were collected using existing records and analysed using descriptive univariate analysis with statistical significance between the two sites was determined using Chi squared test, p < 0.05. Two main themes characterise dominant help-seeking dynamics for MH conditions in ED, suicidal ideation, and access and egress pathways. The main findings indicate that suicidal ideation was the most common presenting problem (38.19%). People presenting to ED who 'Did not wait' or 'Left at own risk' accounted for 10.20% of departures from ED. A large number of presentations arrived via the ambulance, accounting for 45.91%. A large proportion of presentations are related to a potentially life-threatening condition (suicidal ideation). The largest proportion of triage code 1 'Resuscitation' was for people with presenting problem of 'Behavioural Disturbance'. Departure and arrival dynamics need to be better understood in consultation with community and lived experience groups to improve future service alignment with the access and egress pathways for emergency MH care.

Indexed as

Emergency Service, HospitalMental DisordersMental Health ServicesPatient Acceptance of Health CareAdolescentAdultAgedFemaleHealth Services AccessibilityHelp-Seeking BehaviorHumansMaleMiddle AgedNew South WalesRetrospective StudiesSociodemographic Factorsartificial intelligenceemergency departmentmachine learningmental healthnursing

Identifiers

PMID39282997
PMCPMC11751752

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.