Evidence map›Paper›PMID 37378032›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2023

Intensive Care Nurses' Fears about Returning to Work after Recovering from COVID-19: A Qualitative Study.

Meryem Türkan Işik, Rana Can Özdemir

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2023. 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
–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

1 citing paper in PubMed.

  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

2 authors.

Meryem Türkan IşikDepartment of Fundamental Nursing, Faculty of Nursing, Mersin University, Mersin, Turkey.ORCID https://orcid.org/0000-0002-4091-8583
Rana Can ÖzdemirDepartment of Medical History and Ethics, Faculty of Medicine, Akdeniz University, Antalya, Turkey.ORCID https://orcid.org/0000-0003-0655-4736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Experiencing coronavirus disease-2019 (COVID-19) disease is a difficult and exhaustive process. Intensive care unit (ICU) nurses return to the ICU after recovering from COVID-19. Aim: This study was planned to determine the care difficulties and ethical problems faced by ICU nurses returning to work after being diagnosed with COVID-19. Method: In-depth interview technique was used in this qualitative study. This study was conducted between January 28 and March 3 2021 with 20 nurses diagnosed with COVID-19, working in an ICU. Data were collected using face-to-face interviews with semi-structured questions. Results: Average age of the participating nurses was 27 ± 5.8; 14 of them were not planning to leave the profession; 13 felt confused about the pandemic process and all experienced some ethical problems related to the care process. Conclusion: Long work hours during the pandemic negatively affect ICU nurses' psychology. After experiencing the disease, the ethical sensitivity of the nurses in this group providing care to patients increased. Determining the difficulties and ethical problems experienced by ICU nurses after recovering from COVID-19 can be a guide in increasing ethical sensitivity. How to cite this article: Işik MT, Özdemir RC. Intensive Care Nurses' Fears about Returning to Work after Recovering from COVID-19: A Qualitative Study. Indian J Crit Care Med 2023;27(4):283-288.

Indexed as

Care ethicsCoronavirus disease-2019 patientExperiencing coronavirus disease-2019Intensive care nurse

Identifiers

PMID37378032
PMCPMC10291651

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.