Evidence map›Paper›PMID 38515080›Full record

ArticleBMC nursing2024

Stressors, emotions, and social support systems among respiratory nurses during the Omicron outbreak in China: a qualitative study.

Wenzhen Yu, Ying Zhang, Yunyan Xianyu, Dan Cheng

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 1 country.

Wenzhen YuDepartment of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, No. 238, Jiefang Road, 430060, Wuhan, China.
Ying ZhangDepartment of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, No. 238, Jiefang Road, 430060, Wuhan, China.
Yunyan XianyuDepartment of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, No. 238, Jiefang Road, 430060, Wuhan, China.
Dan ChengDepartment of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, No. 238, Jiefang Road, 430060, Wuhan, China. chengdan729@126.com.
Renmin Hospital of Wuhan University · CNWuhan University · CN

Funding

general project of Health Commission of Hubei Province WJ2021M150Hubei key laboratory opening project of Health Commission of Hubei Province 2022KFH002
6 · The paper itself

Abstract

backgroundRespiratory nurses faced tremendous challenges when the Omicron variant spread rapidly in China from late 2022 to early 2023. An in-depth understanding of respiratory nurses' experiences during challenging times can help to develop better management and support strategies. The present study was conducted to explore and describe the work experiences of nurses working in the Department of Pulmonary and Critical Care Medicine (PCCM) during the Omicron outbreak in China.

methodsThis study utilized a descriptive phenomenological method. Between January 9 and 22, 2023, semistructured and individual in-depth interviews were conducted with 11 respiratory nurses at a tertiary hospital in Wuhan, Hubei Province. A purposive sampling method was used to select the participants, and the sample size was determined based on data saturation. The data analysis was carried out using Colaizzi's method.

resultsThree themes with ten subthemes emerged: (a) multiple stressors (intense workload due to high variability in COVID patients; worry about not having enough ability and energy to care for critically ill patients; fighting for anxious clients, colleagues, and selves); (b) mixed emotions (feelings of loss and responsibility; feelings of frustration and achievement; feelings of nervousness and security); and (c) a perceived social support system (team cohesion; family support; head nurse leadership; and the impact of social media).

conclusionNursing managers should be attentive to frontline nurses' needs and occupational stress during novel coronavirus disease 2019 (COVID-19) outbreaks. Management should strengthen psychological and social support systems, optimize nursing leadership styles, and proactively consider the application of artificial intelligence (AI) technologies and products in clinical care to improve the ability of nurses to effectively respond to future public health crises.

Indexed as

COVID-19NursesPulmonary medicineQualitative researchWorking experience

Identifiers

PMID38515080
PMCPMC10956170
OpenAlexW4393052327

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.