Evidence map›Paper›PMID 41067760›Full record

ArticleBMJ open2025

Trimodal age distribution of frequent attendance at the emergency department: a descriptive analysis of national, English, secondary care data using a retrospective cohort.

Catriona Marshall, Akshay Kumar, Sonia Saraiva, Robert M West, Suzanne M Mason, Christopher D Burton, Christina M van der Feltz-Cornelis, William Lee, Chris Bojke, Richard Mattock and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

13 authors.

Catriona MarshallLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0001-7454-6178
Akshay KumarLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0009-0000-2487-0551
Sonia SaraivaLeeds Institute of Health Sciences, University of Leeds, Leeds, UK s.a.saraiva@leeds.ac.uk.ORCID http://orcid.org/0000-0002-2305-9246
Robert M WestLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0001-7305-3654
Suzanne M MasonSheffield Centre for Health and Related Research, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-1701-0577
Christopher D BurtonSheffield Centre for Health and Related Research, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0003-0233-2431
Christina M van der Feltz-CornelisDepartment of Health Sciences, University of York, York, UK.ORCID http://orcid.org/0000-0001-6925-8956
William LeeCornwall Partnership NHS Foundation Trust, Bodmin, UK.ORCID http://orcid.org/0000-0002-0607-038X
Chris BojkeLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0003-2601-0314
Richard MattockLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0001-7517-5233
Stephanie de la HayeSheffield Hallam University, Sheffield, UK.
Samuel David ReltonLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0003-0634-4587
Elspeth GuthrieLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-5834-6616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFrequent use of emergency departments (EDs) places a considerable burden on healthcare systems. Although frequent attenders are known to have complex physical, mental health and social needs, national-level evidence on their characteristics and patterns of attendance remains limited. This study aimed to provide a comprehensive, population-level description of frequent ED attendance in England, with a focus on age-based subgroups.

designRetrospective cohort study.

settingEDs in England via the Hospital Episode Statistics and the Emergency Care Dataset data linked with primary care prescribing and mortality data, between March 2016 and March 2021.

participantsThe dataset received from National Health Service Digital contained approximately 150 million ED attendances by 30 million adult (>18 years) patients over the time period April 2016 to March 2021. A random sample of 5 million people was used for this analysis. OUTCOME MEASURES: The primary outcome was the number of attendances in each financial year by frequent attenders compared with the remaining patients, split by age bands. Patients were classified as frequent attenders if they had ≥5 or ≥10 ED attendances within a rolling 12-month period. Secondary outcomes included demographic, diagnostic and prescribing characteristics, as well as the number of different ED sites visited.

resultsA Gaussian mixture model was used to identify age-based subgroups. Descriptive statistics were used to summarise key features; 95% CIs were reported where applicable. Among 3.91 million unique adult ED attenders, there were 8.7 million attendances. Of these, 222 160 individuals (5.7%) had ≥5 attendances in a year, accounting for 12.6% of total attendances. A trimodal age distribution was identified, with three distinct peaks corresponding to ages 18-34, 35-64 and 65+. Frequent attenders were more likely to live in deprived areas and have a history of psychotropic or analgesic prescribing. Mental health diagnoses and polypharmacy were particularly common in the younger and middle-aged groups. Multisite attendance was uncommon, with over 80% of frequent attenders using only one ED site annually.

conclusionsThis national analysis reveals a trimodal age pattern among frequent ED attenders, with differing clinical and socio-demographic profiles across age groups. These findings highlight the need for age-tailored approaches to managing high-intensity ED use and inform targeted service development.

Indexed as

Emergency Service, HospitalPatient Acceptance of Health CareSecondary Health CareAdolescentAdultAgedAged, 80 and overAge DistributionEnglandFemaleHumansMaleMiddle AgedRetrospective StudiesState MedicineYoung AdultEmergency DepartmentsEmergency Service, HospitalRetrospective Studies

Identifiers

PMID41067760
PMCPMC12516972

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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.