Evidence map›Paper›PMID 42610170›Full record

ReviewIranian journal of nursing and midwifery research

The Challenges Experienced by Oncology Nurses during the COVID-19 Pandemic: A Systematic Review.

Mahdieh Poodineh Moghadam, Ahmad Nasiri, Gholamhossein Mahmoudirad

Abstract readReview
In one paragraph

Review in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mahdieh Poodineh MoghadamDepartment of Nursing, Faculty of Nursing and Midwifery, Zabol University of Medical Sciences, Zabol, Iran.
Ahmad NasiriDepartment of Nursing, Faculty of Nursing and Midwifery, Birjand University of Medical Sciences, Birjand, Iran.
Gholamhossein MahmoudiradDepartment of Nursing, Faculty of Nursing and Midwifery, Birjand University of Medical Sciences, Birjand, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic has introduced a range of obstacles for healthcare workers, including oncology nurses. These frontline workers have had to adjust to updated procedures and protocols while providing care for patients with cancer during times of increased stress and uncertainty. This systematic review aimed to examine the difficulties faced by oncology nurses during the COVID-19 pandemic. Materials and Methods: A systematic review was performed on the literature using databases, including Web of Science, Scopus, and PubMed, to find related studies published between January 2019 and July 2024. The quality of the articles was evaluated using the Critical Appraisal Skills Program (CASP) tool. Results: This systematic review was performed in international databases, resulting in eight eligible studies. The studies highlighted several difficulties experienced by oncology nurses during the COVID-19 pandemic, including heightened workload, lack of personal protective equipment, emotional distress, and challenges in communicating with patients and families. Conclusions: This research revealed that oncology nurses faced numerous challenges during the COVID-19 pandemic, which impacted their well-being and their ability to provide quality care for patients with cancer. Healthcare organizations should provide support and resources to help oncology nurses cope with these difficulties and continue to deliver high-quality care.

Indexed as

COVID-19oncology nursingpandemicssystematic review

Identifiers

PMID42610170
PMCPMC13481035

What OpenQuestion holds

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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.