Evidence map›Paper›PMID 34849213›Full record

ArticleJournal of medical ethics and history of medicine2021

Nurses' attitudes toward caring for terminally ill neonates and their families in Iran: a cross-sectional study.

Maliheh Kadivar, Marjan Mardani-Hamooleh, Marjan Kouhnavard, Azadeh Sayarifard

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical ethics and history of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Maliheh KadivarProfessor, Department of Pediatrics, Nursing and Midwifery Care Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
Marjan Mardani-HamoolehAssociate Professor, Nursing Care Research Center, Department of Psychiatric Nursing, Iran University of Medical Sciences, Tehran, Iran.
Marjan KouhnavardResearcher, Department of Pediatrics, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
Azadeh SayarifardAssociate Professor, Center for Academic and Health Policy, Tehran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Providing care for terminally ill neonates is an important issue in NICUs. This research aimed to determine nurses' attitudes toward providing care for terminally ill neonates and their families. A total of 138 nurses working in neonatal intensive care units (NICUs) affiliated to Tehran University of Medical Sciences participated in this cross-sectional study via convenience sampling in 2019. The Data collection tool was the Frommelt attitudes toward caring for terminally ill persons and their families scale. The nurses in this study had the most positive attitudes toward the items "nursing care should include the family of the terminally ill patient, too" (4.2 ± 0.6) and "the care provider can prepare the patient or his/her family for death" (4.1 ± 0.7). The nurses had the least positive attitude toward the item "the time spent on caring for terminally ill patients creates a sense of frustration in me" (1.06 ± 1). The mean score of the attitudes of NICU nurses toward caring for terminally ill neonates and their families indicates the necessity of improving this attitude.

Indexed as

End-of-life careFamilyIntensive care units, neonatal.NeonateNurseTerminal care

Identifiers

PMID34849213
PMCPMC8595070
OpenAlexW3134717051

What OpenQuestion holds

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LicenceCC BY-NC
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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.