Evidence map›Paper›PMID 39950229›Full record

ArticleEmergency medicine Australasia : EMA2025

Impact of socioeconomic status on utilisation of a Virtual Emergency Department: An exploratory analysis.

Jason Talevski, Shady Rizk, Loren Sher, Rebecca L Jessup, Adam I Semciw, James H Boyd, Suzanne M Miller, Jennie Hutton

Abstract read
In one paragraph

Article in Emergency medicine Australasia : EMA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

Jason TalevskiVictorian Virtual Emergency Department, The Northern Hospital, Northern Health, Melbourne, Victoria, Australia.ORCID 0000-0001-9180-8758
Shady RizkDepartment of Critical Care, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.
Loren SherVictorian Virtual Emergency Department, The Northern Hospital, Northern Health, Melbourne, Victoria, Australia.ORCID 0000-0003-1125-6100
Rebecca L JessupSchool of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia.
Adam I SemciwDepartment of Paediatrics, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.
James H BoydSchool of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia.
Suzanne M MillerVictorian Virtual Emergency Department, The Northern Hospital, Northern Health, Melbourne, Victoria, Australia.
Jennie HuttonVictorian Virtual Emergency Department, The Northern Hospital, Northern Health, Melbourne, Victoria, Australia.ORCID 0000-0001-7911-9546

Funding

Cooperative Research Centres, Australian Government Department of IndustryDepartment of Health VictoriaDigital Health CRC LimitedLa Trobe UniversityNorthern Health
6 · The paper itself

Abstract

objectiveTo explore whether utilisation of a Virtual Emergency Department (VVED) differs according to socioeconomic status (SES).

methodsA retrospective analysis was undertaken of data from the VVED - a telehealth service that provides care for patients across Victoria, Australia with non-life-threatening emergencies. The study included all individuals who presented to the VVED between July 2022 and June 2023 through the two most common referral pathways (self-referral and ambulance referral). Area-level SES was ascertained by matching residential postcodes to the corresponding Australian Bureau of Statistics (ABS) Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) decile. IRSAD scores were divided into quintiles (1 = lowest SES, 5 = highest SES) and multivariable logistic regression modelling was used to analyse associations between the SES quintile and referral pathway, presented as odds ratios (ORs) with 95% confidence intervals (CIs).

resultsThere were 68 598 participants included in the analyses (mean age: 36.6 years; 58.4% female). Compared to SES quintile 3, higher odds of self-referral to the VVED were observed in the two most advantaged SES groups (Quintile 4; adjusted OR [aOR] = 1.16; 95% CI: 1.06-1.26; P = 0.001) (Quintile 5; aOR = 1.38; 95% CI: 1.25-1.52; P < 0.001). Conversely, lower odds of self-referral were observed in the most disadvantaged SES group (Quintile 1; aOR = 0.82; 95% CI: 0.75-0.90; P < 0.001).

conclusionsThe present study demonstrated a relatively even utilisation of the VVED service across SES population groups. The use of healthcare provider pathways, such as ambulance paramedics, may increase equitable access to telehealth. Clinical attention should be directed toward specific social groups in the emergency care setting.

Indexed as

Emergency Service, HospitalPatient Acceptance of Health CareSocial ClassTelemedicineAdolescentAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesVictoriaemergency caresocial disadvantagesocioeconomic statustelehealthvirtual care

Identifiers

PMID39950229
PMCPMC11826373

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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 OpenQuestion graph.