Evidence map›Paper›PMID 31261880›Full record

ReviewHealthcare (Basel, Switzerland)2019

End-of-Life Care Challenges from Staff Viewpoints in Emergency Departments: Systematic Review.

Ali J Alqahtani, Geoffrey Mitchell

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

13 citing papers in PubMed, 32 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ali J AlqahtaniPrimary Care Clinical Unit, Faculty of Medicine, Herston Campus, Royal Brisbane & Women's Hospital, The University of Queensland, Level 8, Health Sciences Building (16/901), Herston, QLD 4029, Australia. a.alqahtani@uq.edu.au.ORCID 0000-0003-4934-2610
Geoffrey MitchellPrimary Care Clinical Unit, Faculty of Medicine, Herston Campus, Royal Brisbane & Women's Hospital, The University of Queensland, Level 8, Health Sciences Building (16/901), Herston, QLD 4029, Australia.ORCID 0000-0001-7817-6821
The University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hospital emergency department (ED) is the place where people most commonly seek urgent care. The initial diagnosis of an end-of-life (EOL) condition may occur in the ED. In this review we described the challenges; from the staff members' perspectives, to safe, appropriate, and high quality end-of-life care (EOLC) for people who are diagnosed with non-malignant diseases who present to ED settings internationally. We conducted a systematic review of peer-reviewed literature. PubMed, Scopus, CINAHL, Medline, and Web of Science were searched from 2007 to 2017. In this review the challenges in providing quality EOLC from staff viewpoints, for EOL people who are diagnosed with non-malignant progressive diseases in ED settings, were classified into eight themes: (1) EOLC education and training, (2) ED design, (3) Lack of family support, (4) Work Load, (5) ED staff communication and decision making, (6) EOLC quality in ED, (7) resource availability (time, space, appropriate interdisciplinary personnel) and (8) integrating palliative care (PC) in ED. The formulation of EOLC using this review result may help to improve the quality of life for dying people by providing ED staff with clear guidelines that can guide them in their daily practice.

Indexed as

emergency departmentend-of-life carepalliative carestaff viewterminal care

Identifiers

PMID31261880
PMCPMC6787591
OpenAlexW2953729599

What OpenQuestion holds

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LicenceCC BY
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.