Evidence map›Paper›PMID 32955787›Full record

ArticleNursing inquiry2021

The ethics of refusing to care for patients during the coronavirus pandemic: A Chinese perspective.

Junhong Zhu, Teresa Stone, Marcia Petrini

Abstract read
In one paragraph

Article in Nursing inquiry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Analysis of Traditional Cultural Acceptance Based on Deep Learning.Computational intelligence and neuroscience · 2022
    Article
  14. Article
  15. Ethical Challenges of Nurses in COVID-19 Pandemic: Integrative Review.Journal of multidisciplinary healthcare · 2021
    Review
  16. 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

3 authors.

Junhong ZhuNursing Studies, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0002-8217-4930
Teresa StoneFaculty of Medicine and Health Sciences, Yamaguchi University, Ube City, Japan.ORCID 0000-0003-0673-1763
Marcia PetriniWuhan University School of Nursing, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a result of the coronavirus (COVID-19) pandemic, health professionals are faced with situations they have not previously encountered and are being forced to make difficult ethical decisions. As the first group to experience challenges of caring for patients with coronavirus, Chinese nurses endure heartbreak and face stressful moral dilemmas. In this opinion piece, we examine three related critical questions: Whether society has the right to require health professionals to risk their lives caring for patients; whether health professionals have the right to refuse to care for patients during the coronavirus pandemic; and what obligations there are to protect health professionals? Value of care, community expectations, legal obligations, professional and codes of practice may compel health professionals to put themselves at risks in emergency situations. The bioethical principles of autonomy, justice, beneficence and non-maleficence, as well as public health ethics, guide nurses to justify their decisions as to whether they are entitled to refuse to treat COVID-19 patients during the pandemic. We hope that the open discussion would support the international society in addressing similar ethical challenges in their respective situations during this public health crisis.

Indexed as

ChinaCOVID-19HumansPandemicsPublic HealthTreatment RefusalChinaCOVID-19ethicshealth professionalsnursingpandemicrefusevalue of care

Identifiers

PMID32955787
PMCPMC7537035

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.