Evidence map›Paper›PMID 38132002›Full record

ArticleHealthcare (Basel, Switzerland)2023

Paediatric Emergency Asthma Presentations: Temporal Trends and Representations in Rural Australia.

Daniel Terry, Blake Peck, Kate Kloot

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Daniel TerrySchool of Nursing and Midwifery, University of Southern Queensland, Ipswich, QLD 4305, Australia.ORCID 0000-0002-1969-8002
Blake PeckInstitute of Health and Wellbeing, Federation University, Ballarat, VIC 3350, Australia.ORCID 0000-0002-2444-9780
Kate KlootSchool of Medicine, Deakin University, Warrnambool, VIC 3280, Australia.ORCID 0000-0003-2889-9639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a key illness driving children to present to emergency departments, and although paediatric emergency asthma presentations have been examined, the temporal trends remain somewhat elusive. The aim is to highlight, describe, and model the temporal trends of emergency paediatric asthma presentations, using comprehensive hospital emergency presentation data. A retrospective cross-sectional study examined de-identified paediatric (0 to 14 years) emergency asthma presentation data over a three-year period. Data were obtained from nine healthcare facilities in Victoria, Australia. Episode-level data were collected through RAHDaR, a comprehensive emergency data register which includes missing data (35.0%) among rural health facilities not currently captured elsewhere. Monthly presentation rates demonstrate a significant difference in presentations between fall/autumn and spring, and males had higher presentation rates in February and June-August. Emergency presentations were more likely to occur Sunday-Tuesday, peaking in the time periods of 8-9 a.m., 11 a.m.-12 p.m., and 8-9 p.m. Significant differences were noted between all age groups. Examining previously unavailable rural data has highlighted patterns among emergency asthma presentations for children 0-14 years of age. Knowledge of these by season, month, and day of the week, in combination with time of day, offers scope for more focused workforce education and planning, and nuanced referral pathways, particularly in resource-limited settings.

Indexed as

asthmadelivery of healthcareemergency departmentshealthcare utilisationpaediatrics

Identifiers

PMID38132002
PMCPMC10742987

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.