Evidence map›Paper›PMID 34055239›Full record

ArticleJournal of medical ethics and history of medicine2020

Nurses' perception of ethical challenges in caring for patients with COVID-19: a qualitative analysis.

Nasrin Rezaee, Marjan Mardani-Hamooleh, Maryam Seraji

Abstract read
In one paragraph

Article in Journal of medical ethics and history of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Stigmatization from Work-Related COVID-19 Exposure: A Systematic Review with Meta-Analysis.International journal of environmental research and public health · 2021
    Pooled it
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  19. Nurses' Experiences of their Ethical Responsibilities during Coronavirus Outbreaks: A Scoping Review.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2022
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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

3 authors.

Nasrin RezaeeAssociate Professor, Community Nursing Research Center, Department of Psychiatric Nursing, Zahedan University of Medical Sciences, Zahedan, Iran.
Marjan Mardani-HamoolehAssociate Professor, Nursing Care Research Center, Department of Psychiatric Nursing, Iran University of Medical Sciences, Tehran, Iran.
Maryam SerajiAssistant Professor, Department of Health Education & Health Promotion, Zahedan University of Medical Sciences, Zahedan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nurses face several challenges in providing care for patients with coronavirus disease in 2019 (COVID-19). The study aimed to explain the nurses' perception of ethical challenges in this regard. The qualitative study was carried out using a content analysis method. Individual and semi-structured interviews were conducted with 24 nurses. Inductive content analysis was used to categorize the data. Nurses' narratives indicated that ethical challenges in caring for patients with COVID-19 included threats to professional values ​​and the absence of a holistic COVID-19 care approach. The first category was subcategorized into the risk of declining quality of patient care and a stigmatized public image about COVID-19 care. The second category was divided into poor spiritual care, poor compassionate care, and lack of family-centered care. Health care managers must develop protocols for nurses that address these issues to alleviate the ethical challenges of COVID-19 care.

Indexed as

CoronavirusCOVID-19Ethical challengesNursing ethicsQualitative study.

Identifiers

PMID34055239
PMCPMC8141204

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Registered trials

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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.