Evidence map›Paper›PMID 32282818›Full record

ArticlePloS one2020

Socioeconomic disadvantage as a driver of non-urgent emergency department presentations: A retrospective data analysis.

Maria Unwin, Elaine Crisp, Jim Stankovich, Damhnat McCann, Leigh Kinsman

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
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  5. Scoping a paediatric emergency medicine unit.Emergency medicine Australasia : EMA · 2025
    Article
  6. [Intensive care and emergency medicine overuse and sustainability].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
    Review
  7. Article
  8. Article
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  16. Review
  17. Comparison of cost and resource utilization between firearm injuries and motor vehicle collisions at pediatric hospitals.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021
    Article
  18. 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

5 authors.

Maria UnwinSchool of Nursing, University of Tasmania, Launceston, Tasmania, Australia.ORCID 0000-0002-8431-3164
Elaine CrispSchool of Nursing, University of Tasmania, Launceston, Tasmania, Australia.
Jim StankovichDepartment of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
Damhnat McCannSchool of Nursing, University of Tasmania, Launceston, Tasmania, Australia.
Leigh KinsmanSchool of Nursing, University of Newcastle, Port Macquarie, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, emergency departments (EDs) are struggling to meet the service demands of their local communities. Across Australia, EDs routinely collect data for every presentation which is used to determine the ability of EDs to meet key performance indicators. This data can also be used to provide an overall picture of service demand and has been used by healthcare planners to identify local needs and inform service provision, thus, using ED presentations as a microcosm of the communities they serve. The aim of this study was to use ED presentation data to identify who, when and why people accessed a regional Australian ED with non-urgent conditions. METHOD AND MATERIALS: A retrospective data analysis of routinely collected ED data was undertaken. This included data obtained over a seven-year period (July 2009 to June 2016) in comparison with the Australian Bureau of Statistics census data. Analysis included descriptive statistics to identify the profile of non-urgent attendees and linear regression to identify trends in ED usage.

resultsThis study revealed a consistently high demand for ED services by people with non-urgent conditions (54.1% of all presentations). People living in the most disadvantaged socioeconomic decile contributed to 36.8% of these non-urgent presentations while those under 25 years of age contributed to 41.1%. Diagnoses of mental health and behavioural issues and of non-specific symptoms significantly increased over the study period (p < 0.001) for both diagnostic groups.

conclusionThe over-representation by those from the most socioeconomically disadvantaged areas highlights an inequity in access to services. The over-representation by those younger in age indicates behavioural patterns based on age. These key issues faced by our local community and the disparity in current service provision will be used to inform future health policy and service planning.

Indexed as

AdolescentAdultAgedAged, 80 and overAmbulatory CareAustraliaChildChild, PreschoolEmergency Service, HospitalFemaleHealth Services Needs and DemandHumansInfantInfant, NewbornLinear ModelsMale

Identifiers

PMID32282818
PMCPMC7153867

What OpenQuestion holds

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Registered trials

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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.