Evidence map›Paper›PMID 34686177›Full record

ArticleBMC nursing2021

Subtypes of nurses' mental workload and interaction patterns with fatigue and work engagement during coronavirus disease 2019 (COVID-19) outbreak: A latent class analysis.

Jing Wu, Husheng Li, Zhaohui Geng, Yanmei Wang, Xian Wang, Jie Zhang

Abstract read
In one paragraph

Article in BMC nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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  11. Influence of the CoViD-19 Pandemic on Mental Workload and Burnout of Fashion Retailing Workers in Spain.International journal of environmental research and public health · 2021
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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

6 authors.

Jing Wu *School of Nursing, Shanghai University of Traditional Chinese Medicine, 1200 Cai Lun Road, Shanghai, 201203, China.ORCID https://orcid.org/0000-0002-2492-5118
Husheng Li *School of Nursing, Shanghai University of Traditional Chinese Medicine, 1200 Cai Lun Road, Shanghai, 201203, China.ORCID https://orcid.org/0000-0003-1722-0838
Zhaohui GengSchool of Nursing, Shanghai University of Traditional Chinese Medicine, 1200 Cai Lun Road, Shanghai, 201203, China.
Yanmei WangDepartment of Nursing, Shanghai Municipal Hospital of Traditional Chinese Medicine Affiliated to Shanghai University of TCM, 274 Middle Zhi Jiang Road, Shanghai, 200071, China.
Xian WangDepartment of Nursing, Shanghai Municipal Hospital of Traditional Chinese Medicine Affiliated to Shanghai University of TCM, 274 Middle Zhi Jiang Road, Shanghai, 200071, China. 1099439602@qq.com.
Jie ZhangDepartment of Nursing, Shanghai Municipal Hospital of Traditional Chinese Medicine Affiliated to Shanghai University of TCM, 274 Middle Zhi Jiang Road, Shanghai, 200071, China. allydata@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNurses play critical roles when providing health care in high-risk situations, such as during the COVID-19 outbreak. However, no previous study had systematically assessed nurses' mental workloads and its interaction patterns with fatigue, work engagement and COVID-19 exposure risk.

methodsA cross-sectional study was conducted via online questionnaire. The NASA Task Load Index, Fatigue Scale-14, and Utrecht Work Engagement Scale were used to assess nurses' mental workload, fatigue and work engagement, respectively. A total of 1337 valid questionnaires were received and analyzed. Nurses were categorized into different subgroups of mental workload via latent class analysis (LCA). Cross-sectional comparisons, analysis of covariance (ANCOVA), and multivariate (or logistic) regression were subsequently performed to examine how demographic variables, fatigue and work engagement differ among nurses belonging to different subgroups.

resultsThree latent classes were identified based on the responses to mental workload assessment: Class 1 - low workload perception & high self-evaluation group (n = 41, 3.1%); Class 2 - medium workload perception & medium self-evaluation group (n = 455, 34.0%); and Class 3 - high workload perception & low self-evaluation group (n = 841, `62.9%). Nurses belonging into class 3 were most likely to be older and have longer professional years, and displayed higher scores of fatigue and work engagement compared with the other latent classes (p < 0.05). Multivariate analysis showed that high cognitive workload increased subjective fatigue, and mental workload may be positively associated with work engagement. Group comparison results indicated that COVID-19 exposure contributed to significantly higher mental workload levels.

conclusionsThe complex scenario for the care of patients with infectious diseases, especially during an epidemic, raises the need for improved consideration of nurses' perceived workload, as well as their physical fatigue, work engagement and personal safety when working in public health emergencies.

Indexed as

COVID-19FatigueLatent class analysisMental workloadNursesWork engagement

Identifiers

PMID34686177
PMCPMC8532096

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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.