Evidence map›Paper›PMID 27006741›Full record

ArticleWorld journal of emergency medicine2016

Critical care nurses' attitude towards life-sustaining treatments in South East Iran.

Farideh Razban, Sedigheh Iranmanesh, Hasan Eslami Aliabadi, Mansooreh Azzizadeh Forouzi

Open access · bronzeAbstract read
In one paragraph

Article in World journal of emergency medicine, 2016. 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
0.6field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  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

4 authors at 2 institutions in 1 country.

Farideh RazbanNeuroscience Research Center, Institute of Neuropharmacology, University of Medical Sciences, Kerman, Iran.
Sedigheh IranmaneshSchool of Nursing and Midwifery, Kerman University of Medical Sciences, Kerman, Iran.
Hasan Eslami AliabadiBirjand University of Medical Sciences, Birjand, Iran.
Mansooreh Azzizadeh ForouziNeuroscience Research Center, Institute of Neuropharmacology, University of Medical Sciences, Kerman, Iran.
Kerman University of Medical Sciences · IRBirjand University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLife-sustaining treatments (LSTs) may prolong life but greatly decrease the quality of death. One factor influencing decision-making about withholding and withdrawing these treatments is the attitude of nurses. This study aimed to evaluate the attitude of critical care nurses towards life-sustaining treatments in South East Iran.

methodsIn this cross-sectional study, "Ethnicity and Attitudes towards Advance Care Directives Questionnaire" was used to investigate the attitude of 104 critical care nurses towards life-sustaining treatments in three hospitals affiliated to Kerman University of Medical Sciences.

resultsThe findings of this study indicated that although a majority of critical care nurses (77%) did not have personal desire for use of LSTs including CPR and mechanical ventilation, they had moderately negative to neutral attitude towards general use of LSTs (2.95 of 5).

conclusionsThese findings suggest that nurses' attitude towards LSTs can be changed by inclusion of specific courses about death, palliative care and life-sustaining treatments in undergraduate and postgraduate nursing curricula. Educating Muslim nurses about religious aspects of LSTs may also improve their attitudes.

Indexed as

AttitudeCritical care nurseLife-sustaining treatmentsSouth East Iran

Identifiers

PMID27006741
PMCPMC4786502
OpenAlexW2308964790

What OpenQuestion holds

Textmetadata
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.