Evidence map›Paper›PMID 38388438›Full record

Observational studyBMC health services research2024

Factors predictive of hospital admission for children via emergency departments in Australia and Sweden: an observational cross-sectional study.

Julia Crilly, Amy Sweeny, Åsa Muntlin, David Green, Lorelle Malyon, Luke Christofis, Malcolm Higgins, Ann-Sofie Källberg, Sara Dellner, Åsa Myrelid and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Julia CrillyDepartment of Emergency Medicine, Gold Coast Health, 1 Hospital Blvd, Southport, QLD, 4215, Australia. Julia.Crilly@health.qld.gov.au.
Amy SweenyDepartment of Emergency Medicine, Gold Coast Health, 1 Hospital Blvd, Southport, QLD, 4215, Australia.
Åsa MuntlinDepartment of Medical Sciences/Clinical Epidemiology, Uppsala University, Uppsala, Sweden.
David GreenDepartment of Emergency Medicine, Gold Coast Health, 1 Hospital Blvd, Southport, QLD, 4215, Australia.
Lorelle MalyonEmergency Department, Queensland Children's Hospital, Children's Health Queensland, Brisbane, QLD, Australia.
Luke ChristofisEmergency Department, Lyell McEwin Hospital, Elizabeth Vale, South Australia, Australia.
Malcolm HigginsPaediatric Emergency Department, Women's and Children's Hospital, North Adelaide, South Australia, Australia.
Ann-Sofie KällbergSchool of Health and Welfare, Dalarna University, Falun, Sweden.
Sara DellnerMaternal Health Care Unit, Region Stockholm, Stockholm, Sweden.
Åsa MyrelidDepartment of Women's and Children's Health, Uppsala University Children's Hospital, Uppsala, Sweden.
Therese DjärvEmergency and Reparative Medicine Theme, Karolinska University Hospital, Stockholm, Sweden.
Katarina E GöranssonSchool of Health and Welfare, Dalarna University, Falun, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying factors predictive of hospital admission can be useful to prospectively inform bed management and patient flow strategies and decrease emergency department (ED) crowding. It is largely unknown if admission rate or factors predictive of admission vary based on the population to which the ED served (i.e., children only, or both adults and children). This study aimed to describe the profile and identify factors predictive of hospital admission for children who presented to four EDs in Australia and one ED in Sweden.

methodsA multi-site observational cross-sectional study using routinely collected data pertaining to ED presentations made by children < 18 years of age between July 1, 2011 and October 31, 2012. Univariate and multivariate analysis were undertaken to determine factors predictive of hospital admission.

resultsOf the 151,647 ED presentations made during the study period, 22% resulted in hospital admission. Admission rate varied by site; the children's EDs in Australia had higher admission rates (South Australia: 26%, Queensland: 23%) than the mixed (adult and children's) EDs (South Australia: 13%, Queensland: 17%, Sweden: 18%). Factors most predictive of hospital admission for children, after controlling for triage category, included hospital type (children's only) adjusted odds ratio (aOR):2.3 (95%CI: 2.2-2.4), arrival by ambulance aOR:2.8 (95%CI: 2.7-2.9), referral from primary health aOR:1.5 (95%CI: 1.4-1.6) and presentation with a respiratory or gastrointestinal condition (aOR:2.6, 95%CI: 2.5-2.8 and aOR:1.5, 95%CI: 1.4-1.6, respectively). Predictors were similar when each site was considered separately.

conclusionsAlthough the characteristics of children varied by site, factors predictive of hospital admission were mostly similar. The awareness of these factors predicting the need for hospital admission can support the development of clinical pathways.

Indexed as

Emergency Service, HospitalHospitalsAdultAustraliaChildCross-Sectional StudiesHospitalizationHumansSwedenAustraliaChildrenEmergency departmentsHospital admissionSweden

Identifiers

PMID38388438
PMCPMC10885502

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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.