Evidence map›Paper›PMID 38718063›Full record

ArticlePloS one2024

Association between emergency department attendances, sociodemographic factors and long-term health conditions in the population of Norfolk and Waveney, England: Cross sectional study.

Charlotte E L Jones, Zillur Rahman Shabuz, Max Bachmann, Amanda Burke, Julii Brainard, Rachel Cullum, Mike Saunders, Alice M Dalton, Oby O Enwo, Nick Steel

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Charlotte E L JonesNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0009-0004-9791-0760
Zillur Rahman ShabuzNorwich Medical School, University of East Anglia, Norwich, United Kingdom.
Max BachmannNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0003-1770-3506
Amanda BurkeNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0002-7905-8947
Julii BrainardNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0002-5272-7995
Rachel CullumNorwich Medical School, University of East Anglia, Norwich, United Kingdom.
Mike SaundersNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0001-9109-6164
Alice M DaltonNorwich Medical School, University of East Anglia, Norwich, United Kingdom.
Oby O EnwoNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0003-4287-7145
Nick SteelNorwich Medical School, University of East Anglia, Norwich, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDemand for urgent and emergency health care in England has grown over the last decade, for reasons that are not clear. Changes in population demographics may be a cause. This study investigated associations between individuals' characteristics (including socioeconomic deprivation and long term health conditions (LTC)) and the frequency of emergency department (ED) attendances, in the Norfolk and Waveney subregion of the East of England.

methodsThe study population was people who were registered with 91 of 106 Norfolk and Waveney general practices during one year from 1 April 2022 to 31 March 2023. Linked primary and secondary care and geographical data included each individual's sociodemographic characteristics, and number of ED attendances during the same year and, for some individuals, LTCs and number of general practice (GP) appointments. Associations between these factors and ED attendances were estimated using Poisson regression models.

results1,027,422 individuals were included of whom 57.4% had GP data on the presence or absence of LTC, and 43.1% had both LTC and general practitioner appointment data. In the total population ED attendances were more frequent in individuals aged under five years, (adjusted Incidence Rate Ratio (IRR) 1.25, 95% confidence interval 1.23 to 1.28) compared to 15-35 years); living in more socioeconomically deprived areas (IRR 0.61 (0.60 to 0.63)) for least deprived compared to most deprived,and living closer to the nearest ED. Among individuals with LTC data, each additional LTC was also associated with increased ED attendances (IRR 1.16 (1.15 to 1.16)). Among individuals with LTC and GP appointment data, each additional GP appointment was also associated with increased ED attendances (IRR 1.03 (1.026 to 1.027)).

conclusionsIn the Norfolk and Waveney population, ED attendance rates were higher for young children and individuals living in more deprived areas and closer to EDs. In individuals with LTC and GP appointment data, both factors were also associated with higher ED attendance.

Indexed as

Emergency Service, HospitalAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesEnglandFemaleGeneral PracticeHumansInfantInfant, NewbornMaleMiddle Aged

Identifiers

PMID38718063
PMCPMC11078347

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LicenceCC BY
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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.