Evidence map›Paper›PMID 42843883›Full record

ArticleBMJ open2026

Factors associated with persistent high use of emergency departments: a nationwide retrospective cohort study.

Akshay Kumar, Catriona Marshall, Sonia Saraiva, William Lee, Suzanne Mason, Christopher D Burton, Christina Maria van der Feltz-Cornelis, Robert M West, Chris Bojke, Richard Mattock and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2026. 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

12 authors.

Akshay KumarPsychological and Social Medicine, Leeds Institute of Health Sciences, Leeds, UK.ORCID http://orcid.org/0009-0000-2487-0551
Catriona MarshallPsychological and Social Medicine, Leeds Institute of Health Sciences, Leeds, UK.ORCID http://orcid.org/0000-0001-7454-6178
Sonia SaraivaPsychological and Social Medicine, Leeds Institute of Health Sciences, Leeds, UK s.a.saraiva@leeds.ac.uk.ORCID http://orcid.org/0000-0002-2305-9246
William LeeCollege of Medicine and Health, University of Exeter, Exeter, UK.
Suzanne MasonSchool of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-1701-0577
Christopher D BurtonAcademic Unit of Primary Medical Care, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0003-0233-2431
Christina Maria van der Feltz-CornelisDept of Health Sciences, YBRI, University of York, York, UK.ORCID http://orcid.org/0000-0001-6925-8956
Robert M WestPsychological and Social Medicine, Leeds Institute of Health Sciences, Leeds, UK.ORCID http://orcid.org/0000-0001-7305-3654
Chris BojkeAcademic Unit of Health Economics, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0003-2601-0314
Richard MattockPsychological and Social Medicine, Leeds Institute of Health Sciences, Leeds, UK.ORCID http://orcid.org/0000-0001-7517-5233
Samuel David ReltonPsychological and Social Medicine, Leeds Institute of Health Sciences, Leeds, UK.ORCID http://orcid.org/0000-0003-0634-4587
Elspeth GuthrieLeeds Institute of Health Sciences, Leeds, UK.ORCID http://orcid.org/0000-0002-5834-6616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify patient and attendance characteristics that predict persistent high use of emergency departments (EDs) in England and to quantify the relationship between these factors and the duration an individual remains a high user.

designNationwide retrospective cohort study using a Cox proportional hazards model with random effects.

settingEDs across England, using linked national healthcare datasets including hospital admissions, General Practice (GP) prescribing data and mortality records from January 2016 to December 2019.

participantsThe total national dataset comprised approximately 150 million ED attendances by 30 million adult patients (aged>18). From this, a random sample of 5 million individuals was analysed. In the 2017 calendar year, 1 766 208 individuals attended the ED, of which 91 034 (5.2%) met the criteria for high use (defined as five or more attendances within a 12-month period). PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the length of time an individual remained in the 'high user' status. Predictors were measured using HRs to determine the likelihood of transitioning out of high-user status (where an HR<1.00 indicates a longer duration of high use).

resultsSeveral factors significantly predicted prolonged high-user status. Strong predictors (expressed as HRs) included: use of hypnotics and anxiolytics (HR=0.64), antipsychotics (HR=0.67), opioid analgesics (HR=0.73) and non-opioid analgesics (HR=0.74), being a 'burst' attender (HR=0.55), social deprivation (HR=0.81), leaving the department after refusing treatment (HR=0.77), leaving before being treated (HR=0.86) and having 'nothing abnormal detected' during the visit (HR=0.88).

conclusionsPersistent high ED use is strongly associated with prescriptions for analgesics and mental health medications, as well as specific attendance behaviours like 'burst' patterns and leaving without treatment. These findings suggest that healthcare providers should prioritise proactive care plans, enhanced mental health support and specialised pain management strategies to intervene before patients become long-term frequent users. Further research into the efficacy of these specific interventions for 'burst' attenders is warranted.

Indexed as

Emergency Service, HospitalAdultAgedEmergency Room VisitsEnglandFemaleHumansHypnotics and SedativesMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesTime FactorsYoung AdultHypnotics and SedativesEmergency DepartmentsMENTAL HEALTHSTATISTICS & RESEARCH METHODS

Identifiers

PMID42843883
PMCPMC13647028

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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.