Evidence map›Paper›PMID 27481374›Full record

Observational studyClinical medicine (London, England)2016

Designing services for frequent attenders to the emergency department: a characterisation of this population to inform service design.

Rebecca Jacob, Mai Luen Wong, Catherine Hayhurst, Peter Watson, Cecily Morrison

Abstract readObservational Study
In one paragraph

Observational study in Clinical medicine (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Rebecca JacobCambridge and Peterborough NHS Foundation Trust, Cambridge, UK Rebecca.Jacob@cpft.nhs.uk.
Mai Luen WongCambridge and Peterborough NHS Foundation Trust, Cambridge, UK.
Catherine HayhurstCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Peter WatsonMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
Cecily MorrisonEngineering Design Centre, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frequent attendance to the emergency department (ED) is a growing public health concern. Designing services for frequent attenders poses challenges, given the heterogeneous nature of this group. This was a two-part observational study identifying frequent attenders from ED records. The first stage studied trends and developed personas with emphasis on differentiating moderate frequent attenders (attending between 5 and 20 times per year) and extreme frequent attenders (attending more than 20 times). Stage 2 included a case note review of 100 consecutive frequent attenders. Results showed an increase in frequent attendance from 2.59% to 4.12% over 8 years. Moderate frequent attenders accounted for 97%. Of the 100 frequent attenders studied, 45% had medically unexplained symptoms (MUS), associated with younger age (p<0.001) but not with gender (p>0.05). In conclusion, the ED is a useful hub for identifying frequent attenders with MUS, particularly among moderate frequent attenders; service design for this group should consider a 'whole-systems approach' with integration between primary and secondary care, including specialist liaison psychiatry services where appropriate.

Indexed as

AdolescentAdultAgedAged, 80 and overEmergency Service, HospitalFemaleHumansMaleMental HealthMiddle AgedPatientsRetrospective StudiesUnited KingdomYoung AdultFrequent attendersmedically unexplained symptomsMUSservice design

Identifiers

PMID27481374
PMCPMC6280207

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.