Evidence map›Paper›PMID 30613026›Full record

ArticleBMJ open2019

What are the social predictors of accident and emergency attendance in disadvantaged neighbourhoods? Results from a cross-sectional household health survey in the north west of England.

Clarissa Giebel, Jason Cameron McIntyre, Konstantinos Daras, Mark Gabbay, Jennifer Downing, Munir Pirmohamed, Fran Walker, Wojciech Sawicki, Ana Alfirevic, Ben Barr

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 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

10 authors.

Clarissa GiebelInstitute of Psychology, Health and Society, University of Liverpool, Liverpool, UK.ORCID 0000-0002-0746-0566
Jason Cameron McIntyreSchool of Natural Sciences and Psychology, Liverpool John Moore's University, Liverpool, UK.
Konstantinos DarasGeographic Data Science Lab, University of Liverpool, Liverpool, UK.
Mark GabbayInstitute of Psychology, Health and Society, University of Liverpool, Liverpool, UK.
Jennifer DowningNIHR Collaboration for Leadership in Applied Health Research and Care, North West Coast, UK.
Munir PirmohamedNIHR Collaboration for Leadership in Applied Health Research and Care, North West Coast, UK.
Fran WalkerNIHR Collaboration for Leadership in Applied Health Research and Care, North West Coast, UK.
Wojciech SawickiRoyal Liverpool and Broadgreen University Hospitals NHS Trust, Liverpool, UK.
Ana AlfirevicNIHR Collaboration for Leadership in Applied Health Research and Care, North West Coast, UK.
Ben BarrInstitute of Psychology, Health and Society, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to identify the most important determinants of accident and emergency (A&E) attendance in disadvantaged areas. DESIGN, SETTING AND

participantsA total of 3510 residents from 20 disadvantaged neighbourhoods in the North West Coast area in England completed a comprehensive public health survey.

main outcome measuresParticipants were asked to complete general background information, as well as information about their physical health, mental health, lifestyle, social issues, housing and environment, work and finances, and healthcare service usage. Only one resident per household could take part in the survey. Poisson regression analysis was employed to assess the predictors of A&E attendance frequency in the previous 12 months.

results31.6% of the sample reported having attended A&E in the previous 12 months, ranging from 1 to 95 visits. Controlling for demographic and health factors, not being in employment and living in poor quality housing increased the likelihood of attending an A&E service. Service access was also found to be predictive of A&E attendance insofar as there were an additional 18 fewer A&E attendances per 100 population for each kilometre closer a person lived to a general practitioner (GP) practice, and 3 fewer attendances per 100 population for each kilometre further a person lived from an A&E department.

conclusionsThis is one of the first surveys to explore a comprehensive set of socio-economic factors as well as proximity to both GP and A&E services as predictors of A&E attendance in disadvantaged areas. Findings from this study suggest the need to address both socioeconomic issues, such as employment and housing quality, as well as structural issues, such as public transport and access to primary care, to reduce the current burden on A&E departments.

Indexed as

AdolescentAdultCross-Sectional StudiesEmergency Service, HospitalEnglandFemaleGeneral PracticeHealth Services AccessibilityHealth SurveysHumansMaleMiddle AgedPatient Acceptance of Health CarePrimary Health CareRegression AnalysisResidence Characteristicsaccident and emergencydeprivationhousing qualityservice access

Identifiers

PMID30613026
PMCPMC6326270

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.