Evidence map›Paper›PMID 28511702›Full record

ReviewBMC health services research2017

What is the evidence for the management of patients along the pathway from the emergency department to acute admission to reduce unplanned attendance and admission? An evidence synthesis.

Sarah H Credé, Colin O'Keeffe, Suzanne Mason, Anthea Sutton, Emma Howe, Susan J Croft, Mike Whiteside

Abstract readReview
In one paragraph

Review in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Comparison of Frailty Screening Instruments in the Emergency Department.International journal of environmental research and public health · 2019
    Trial
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Care transitions and social needs: A Geriatric Emergency care Applied Research (GEAR) Network scoping review and consensus statement.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Observational
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

7 authors.

Sarah H CredéSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, England. s.h.crede@sheffield.ac.uk.
Colin O'KeeffeSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, England.
Suzanne MasonSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, England.
Anthea SuttonSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, England.
Emma HoweSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, England.
Susan J CroftSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, England.
Mike WhitesideDoncaster and Bassetlaw Hospitals NHS Foundation Trust, Doncaster, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, the rate of emergency hospital admissions is increasing. However, little evidence exists to inform the development of interventions to reduce unplanned Emergency Department (ED) attendances and hospital admissions. The objective of this evidence synthesis was to review the evidence for interventions, conducted during the patient's journey through the ED or acute care setting, to manage people with an exacerbation of a medical condition to reduce unplanned emergency hospital attendance and admissions.

methodsA rapid evidence synthesis, using a systematic literature search, was undertaken in the electronic data bases of MEDLINE, EMBASE, CINAHL, the Cochrane Library and Web of Science, for the years 2000-2014. Evidence included in this review was restricted to Randomised Controlled Trials (RCTs) and observational studies (with a control arm) reported in peer-reviewed journals. Studies evaluating interventions for patients with an acute exacerbation of a medical condition in the ED or acute care setting which reported at least one outcome related to ED attendance or unplanned admission were included.

resultsThirty papers met our inclusion criteria: 19 intervention studies (14 RCTs) and 11 controlled observational studies. Sixteen studies were set in the ED and 14 were conducted in an acute setting. Two studies (one RCT), set in the ED were effective in reducing ED attendance and hospital admission. Both of these interventions were initiated in the ED and included a post-discharge community component. Paradoxically 3 ED initiated interventions showed an increase in ED re-attendance. Six studies (1 RCT) set in acute care settings were effective in reducing: hospital admission, ED re-attendance or re-admission (two in an observation ward, one in an ED assessment unit and three in which the intervention was conducted within 72 h of admission).

conclusionsThere is no clear evidence that specific interventions along the patient journey from ED arrival to 72 h after admission benefit ED re-attendance or readmission. Interventions targeted at high-risk patients, particularly the elderly, may reduce ED utilization and warrant future research. Some interventions showing effectiveness in reducing unplanned ED attendances and admissions are delivered by appropriately trained personnel in an environment that allows sufficient time to assess and manage patients.

Indexed as

Acute DiseaseAdolescentAdultAgedCritical PathwaysEmergency Service, HospitalHospitalizationHumansMiddle AgedObservational Studies as TopicPatient DischargePatients' RoomsRandomized Controlled Trials as TopicYoung AdultAvoidable admissionsEmergency medicineUnplanned attendance

Identifiers

PMID28511702
PMCPMC5433069

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.