Evidence map›Paper›PMID 33144361›Full record

ArticleBJGP open2020

Accident and emergency department attendance rates of people experiencing homelessness by GP registration: a retrospective analysis.

Johanna Reilly, Khalil Hassanally, John Budd, Stewart Mercer

Abstract read
In one paragraph

Article in BJGP open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

4 authors.

Johanna ReillyAcademic Clinical Fellow, Usher Institute, University of Edinburgh, Edinburgh, UK johanna.reilly@ed.ac.uk.
Khalil HassanallyAcademic Clinical Fellow, Usher Institute, University of Edinburgh, Edinburgh, UK.
John BuddGP, Edinburgh Access Practice, NHS Lothian, Edinburgh, UK.
Stewart MercerProfessor of Primary Care, Usher Institute, University of Edinburgh, Edinburgh, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople experiencing homelessness are known to have complex health needs and to be high users of hospital accident and emergency (A&E) departments. It is unclear whether access to a day-time specialist homeless medical practice, as opposed to routine general practice, influences A&E attendance rates.

aimThis study investigated whether registration with a specialist homeless service would alter A&E attendance rates in a single geographical region in Scotland. DESIGN &

settingA health board area with a specialist service for people experiencing homelessness was selected. Data were obtained from the hospital records of 4408 A&E attendances by people experiencing homelessness at NHS Lothian (based on a broad definition of homelessness and including those in temporary accommodation) between January 2015 and July 2017.

methodThe attendances were compared between people registered with a specialist service and those registered with a mainstream GP.

resultsThe reasons for attendance and urgency of attendance were broadly similar between the two groups. Repeat attendance was similarly high in both groups. Almost 70% in both groups attended with problems deemed urgent, very urgent, or requiring immediate resuscitation. The patients registered with the specialist homeless service were more likely to be older and male; however, this did not affect the frequency of attendance.

conclusionPeople experiencing homelessness attending A&E mainly do so for urgent or very urgent problems. This was not related to the type of day-time primary care service they had access to. Strategies to reduce attendances, such as out-of-hours mobile medical units, should be explored.

Indexed as

community careemergency service, hospitalharm reductioninequalitiespeople experiencing homelessnesssocioeconomic factors

Identifiers

PMID33144361
PMCPMC7880188

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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.