Evidence map›Paper›PMID 35281999›Full record

ArticlePsychology research and behavior management2022

Psychological Status and Job Burnout of Nurses Working in the Frontline of the Novel Coronavirus in China During the Delta Variant Outbreak: A Cross-Sectional Survey.

Jianmei Hou, Binbin Xu, Jinghui Zhang, Lingxia Luo, Xiaobei Pen, Shujie Chen, Guiyuan Ma, Zixing Hu, Xiaoya Kong

Open access · goldAbstract read
In one paragraph

Article in Psychology research and behavior management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Jianmei HouTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
Binbin XuTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
Jinghui ZhangTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.ORCID 0000-0002-1461-2580
Lingxia LuoTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
Xiaobei PenTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
Shujie ChenTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
Guiyuan MaTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
Zixing HuTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.ORCID 0000-0003-4029-7390
Xiaoya KongTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Investigating psychological status and job burnout of nurses working in the frontline of the novel coronavirus in Zhangjiajie city in China during the Delta variant outbreak, comparing differences and analyzing factors of these two variables between the nurses from different nucleic acid testing (NAT) sites. Patients and methods: This survey was conducted from August 1 to 31, 2021. The participants were 512 nurses, 198 nurses of whom were from temporary NAT sites in communities/towns in Zhangjiajie city, and the rest were from NAT sites inside hospitals. The psychological status and the job burnout were measured by the Symptom Checklist-90 (SCL-90) and the Maslach Burnout Inventory-General Scale (MBI-GS). Results: The prevalence of the SCL-90 positive result and job burnout were 49.4% and 61.1%, respectively. The factors influencing the psychological status of nurses included the contact with COVID-19 patients or their body fluids and specimens, working seniority and the duration of working in the frontline of the novel coronavirus. The independent risk factors of nurses' job burnout included the following four factors. Firstly, the contact with COVID-19 patients or their body fluids and specimens (OR=150.95, 95% CI=(44.87,507.77), P<0.001). Secondly, five to nine years of working seniority (OR=8.91, 95% CI=(3.59,22.14), P<0.001). Thirdly, 10 to 19 days (OR=2.63, 95% CI=(1.19,5.82), P=0.017), 20 to 29 days (OR=161.31, 95% CI=(49.48,525.9), P<0.001). Lastly, more than 30 days (OR=92.05, 95% CI=(33.88,250.14), P<0.001) of working in the frontline of the novel coronavirus. Conclusion: The prevalence of psychological problems and job burnout were at a high level among nurses working in the frontline of the novel coronavirus in different NAT sites. The nurses from NAT sites inside hospitals and temporary NAT sites in communities/towns in Zhangjiajie city had an equal risk of developing psychological problems and job burnout. Interventions need to be immediately implemented to promote psychological well-being and decrease job burnout of nurses.

Indexed as

job burnoutnucleic acid testingpsychological statusspecimen collectionthe Delta variantthe novel coronavirus

Identifiers

PMID35281999
PMCPMC8906864
OpenAlexW4214872458

What OpenQuestion holds

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LicenceCC BY-NC
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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.