Mental workload of frontline nurses aiding in the COVID-19 pandemic: A latent profile analysis
- PMID: 33594687
- PMCID: PMC8014576
- DOI: 10.1111/jan.14769
Mental workload of frontline nurses aiding in the COVID-19 pandemic: A latent profile analysis
Abstract
Aims: To investigate the mental workload level of nurses aiding the most affected area during the Coronavirus disease 2019 (COVID-19) pandemic and explore the subtypes of nurses regarding their mental workload.
Design: Cross-sectional study.
Methods: A sample of 446 frontline nurses participated from March 8 to 19, 2020. A latent profile analysis was performed to identify clusters based on the six subscales of the Chinese version of the National Aeronautics and Space Administration Task Load Index. The differences among the classes and the variables including sociodemographic characteristics, psychological capital and coping style were explored.
Results: The level of mental workload indicates that the nurses had high self-evaluations of their performance while under extremely intensive task loads. The following three latent subtypes were identified: 'low workload & low self-evaluation' (8.6%); 'medium workload & medium self-evaluation' (35.3%) and 'high workload & high self-evaluation' (56.1%) (Classes 1, 2, and 3, respectively). Nurses with shared accommodations, fewer years of practice, junior professional titles, lower incomes, nonmanagement working positions, lower psychological capital levels and negative coping styles had a higher likelihood of belonging to Class 1. In contrast, senior nurses with higher psychological capital and positive coping styles were more likely to belong to Classes 2 and 3.
Conclusion: The characteristics of the 'low workload & low self-evaluation' subtype suggest that attention should be paid to the work pressure and psychological well-being of junior nurses. Further research on regular training program of public health emergency especially for novices is needed. Personnel management during public health events should be focused on the allocation between novice and senior frontline nurses.
Impact: This study addresses the level of mental workload of frontline nurses who aid in the most severe area of the COVID-19 pandemic in China and delineates the characteristics of the subtypes of these nurses.
Keywords: COVID-19; coping style; cross-sectional study; latent profile analysis; mental workload; nurses; psychological capital.
© 2021 John Wiley & Sons Ltd.
Conflict of interest statement
No conflict of interest has been declared by the authors.
Figures
Similar articles
-
Nurses' mental workload and public health emergency response capacity in COVID-19 pandemic: A cross-sectional study.J Adv Nurs. 2024 Apr;80(4):1429-1439. doi: 10.1111/jan.15929. Epub 2023 Nov 8. J Adv Nurs. 2024. PMID: 37937693
-
Identifying the Subtypes and Characteristics of Mental Workload Among Chinese Physicians in Outpatient Practice: A Latent Profile Analysis.Front Public Health. 2021 Nov 24;9:779262. doi: 10.3389/fpubh.2021.779262. eCollection 2021. Front Public Health. 2021. PMID: 34900919 Free PMC article.
-
Burnout in nurses during the COVID-19 pandemic in China: New challenges for public health.Biosci Trends. 2021 May 11;15(2):129-131. doi: 10.5582/bst.2021.01099. Epub 2021 Mar 26. Biosci Trends. 2021. PMID: 33776019
-
Psychological stress and coping strategies among frontline healthcare workers supporting patients with coronavirus disease 2019: a retrospective study and literature review.Ther Adv Respir Dis. 2022 Jan-Dec;16:17534666221130215. doi: 10.1177/17534666221130215. Ther Adv Respir Dis. 2022. PMID: 36476064 Free PMC article.
-
The causative factors of psychological distress and mental ill-health among ICU nurses during the pandemic.Br J Nurs. 2023 Nov 23;32(21):1026-1030. doi: 10.12968/bjon.2023.32.21.1026. Br J Nurs. 2023. PMID: 38006594 Review.
Cited by
-
The Impact of Sociodemographic Characteristics on Coping Strategies Used by Nurses Working at COVID and Non-COVID Hospital Departments during COVID-19 Pandemic: A Cross-Sectional Study.Healthcare (Basel). 2022 Jun 20;10(6):1144. doi: 10.3390/healthcare10061144. Healthcare (Basel). 2022. PMID: 35742195 Free PMC article.
-
Influencing factors associated with mental workload among nurses: A latent profile analysis.Int J Nurs Sci. 2024 Apr 26;11(3):330-337. doi: 10.1016/j.ijnss.2024.04.002. eCollection 2024 Jul. Int J Nurs Sci. 2024. PMID: 39156683 Free PMC article.
-
Determining the effect of selected mental factors on turnover intention through two modulators - stress and resilience over COVID-19 period.BMC Health Serv Res. 2023 Apr 14;23(1):366. doi: 10.1186/s12913-023-09268-z. BMC Health Serv Res. 2023. PMID: 37060008 Free PMC article.
-
Examining the impact of perceived social support on mental workload in clinical nurses: the mediating role of positive coping style.BMC Nurs. 2025 Mar 27;24(1):331. doi: 10.1186/s12912-025-02992-3. BMC Nurs. 2025. PMID: 40148906 Free PMC article.
-
Patterns and predictors of mental workload in intern nursing students: a latent profile analysis.BMC Nurs. 2025 May 13;24(1):518. doi: 10.1186/s12912-025-03129-2. BMC Nurs. 2025. PMID: 40361056 Free PMC article.
References
-
- Ahn, D.‐G. , Shin, H.‐J. , Kim, M.‐H. , Lee, S. , Kim, H.‐S. , Myoung, J. , Kim, B.‐T. , & Kim, S.‐J. (2020). Current status of epidemiology, diagnosis, therapeutics, and vaccines for novel coronavirus disease 2019 (COVID‐19). Journal of Microbiology and Biotechnology, 30(3), 313–324. 10.4014/jmb.2003.03011 - DOI - PMC - PubMed
-
- Akaike, H. (1978). Factor analysis and AIC. Psychometrika, 52(3), 317–332. 10.1007/BF02294359 - DOI
-
- Boamah, S. , & Laschinger, H. (2015). Engaging new nurses: The role of psychological capital and workplace empowerment. Journal of Research in Nursing, 20(4), 265–277. 10.1177/1744987114527302 - DOI
-
- Carayon, P. (2011). Handbook of human factors and ergonomics in health care and patient safety (2nd ed.). CRC Press.
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical