Cargando…
Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study
Nurses’ work-related fatigue has been recognized as a threat to nurse health and patient safety. The aim of this study was to assess the prevalence of fatigue among first-line nurses combating with COVID-19 in Wuhan, China, and to analyze its influencing factors on fatigue. A multi-center, descripti...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Huazhong University of Science and Technology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412774/ https://www.ncbi.nlm.nih.gov/pubmed/32767264 http://dx.doi.org/10.1007/s11596-020-2226-9 |
_version_ | 1783568676911316992 |
---|---|
author | Zhan, Yu-xin Zhao, Shi-yu Yuan, Jiao Liu, Huan Liu, Yun-fang Gui, Ling-li Zheng, Hong Zhou, Ya-min Qiu, Li-hua Chen, Jiao-hong Yu, Jiao-hua Li, Su-yun |
author_facet | Zhan, Yu-xin Zhao, Shi-yu Yuan, Jiao Liu, Huan Liu, Yun-fang Gui, Ling-li Zheng, Hong Zhou, Ya-min Qiu, Li-hua Chen, Jiao-hong Yu, Jiao-hua Li, Su-yun |
author_sort | Zhan, Yu-xin |
collection | PubMed |
description | Nurses’ work-related fatigue has been recognized as a threat to nurse health and patient safety. The aim of this study was to assess the prevalence of fatigue among first-line nurses combating with COVID-19 in Wuhan, China, and to analyze its influencing factors on fatigue. A multi-center, descriptive, cross-sectional design with a convenience sample was used. The statistical population consisted of the first-line nurses in 7 tertiary general hospitals from March 3, 2020 to March 10, 2020 in Wuhan of China. A total of 2667 samples from 2768 contacted participants completed the investgation, with a response rate of 96.35%. Social-demographic questionnaire, work-related questionnaire, Fatigue Scale-14, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Chinese Perceived Stress Scale were used to conduct online survey. The descriptive statistic of nurses’ social-demographic characteristics was conducted, and the related variables of work, anxiety, depression, perceived stress and fatigue were analyzed by t-tests, nonparametric test and Pearson’s correlation analysis. The significant factors which resulted in nurses’ fatigue were further analyzed by multiple linear regression analysis. The median score for the first-line nurses’ fatigue in Wuhan was 4 (2, 8). The median score of physical and mental fatigue of them was 3 (1, 6) and 1 (0, 3) respectively. According to the scoring criteria, 35.06% nurses (n=935) of all participants were in the fatigue status, their median score of fatigue was 10 (8, 11), and the median score of physical and mental fatigue of them was 7 (5, 8) and 3 (2, 4) respectively. Multiple linear regression analysis revealed the participants in the risk groups of anxiety, depression and perceived stress had higher scores on physical and mental fatigue and the statistically significant positive correlation was observed between the variables and nurses’ fatigue, the frequency of exercise and nurses’ fatigue had a statistically significant negative correlation, and average daily working hours had a significantly positive correlation with nurses’ fatigue, and the frequency of weekly night shift had a low positive correlation with nurses’ fatigue (P<0.01). There was a moderate level of fatigue among the first-line nurses fighting against COVID-19 pandemic in Wuhan, China. Government and health authorities need to formulate and take effective intervention strategies according to the relevant risk factors, and undertake preventive measures aimed at reducing health hazards due to increased work-related fatigue among first-line nurses, and to enhance their health status and provide a safe occupational environment worldwide. Promoting both medical and nursing safety while combating with the pandemic currently is warranted. |
format | Online Article Text |
id | pubmed-7412774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Huazhong University of Science and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-74127742020-08-10 Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study Zhan, Yu-xin Zhao, Shi-yu Yuan, Jiao Liu, Huan Liu, Yun-fang Gui, Ling-li Zheng, Hong Zhou, Ya-min Qiu, Li-hua Chen, Jiao-hong Yu, Jiao-hua Li, Su-yun Curr Med Sci Article Nurses’ work-related fatigue has been recognized as a threat to nurse health and patient safety. The aim of this study was to assess the prevalence of fatigue among first-line nurses combating with COVID-19 in Wuhan, China, and to analyze its influencing factors on fatigue. A multi-center, descriptive, cross-sectional design with a convenience sample was used. The statistical population consisted of the first-line nurses in 7 tertiary general hospitals from March 3, 2020 to March 10, 2020 in Wuhan of China. A total of 2667 samples from 2768 contacted participants completed the investgation, with a response rate of 96.35%. Social-demographic questionnaire, work-related questionnaire, Fatigue Scale-14, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Chinese Perceived Stress Scale were used to conduct online survey. The descriptive statistic of nurses’ social-demographic characteristics was conducted, and the related variables of work, anxiety, depression, perceived stress and fatigue were analyzed by t-tests, nonparametric test and Pearson’s correlation analysis. The significant factors which resulted in nurses’ fatigue were further analyzed by multiple linear regression analysis. The median score for the first-line nurses’ fatigue in Wuhan was 4 (2, 8). The median score of physical and mental fatigue of them was 3 (1, 6) and 1 (0, 3) respectively. According to the scoring criteria, 35.06% nurses (n=935) of all participants were in the fatigue status, their median score of fatigue was 10 (8, 11), and the median score of physical and mental fatigue of them was 7 (5, 8) and 3 (2, 4) respectively. Multiple linear regression analysis revealed the participants in the risk groups of anxiety, depression and perceived stress had higher scores on physical and mental fatigue and the statistically significant positive correlation was observed between the variables and nurses’ fatigue, the frequency of exercise and nurses’ fatigue had a statistically significant negative correlation, and average daily working hours had a significantly positive correlation with nurses’ fatigue, and the frequency of weekly night shift had a low positive correlation with nurses’ fatigue (P<0.01). There was a moderate level of fatigue among the first-line nurses fighting against COVID-19 pandemic in Wuhan, China. Government and health authorities need to formulate and take effective intervention strategies according to the relevant risk factors, and undertake preventive measures aimed at reducing health hazards due to increased work-related fatigue among first-line nurses, and to enhance their health status and provide a safe occupational environment worldwide. Promoting both medical and nursing safety while combating with the pandemic currently is warranted. Huazhong University of Science and Technology 2020-08-29 2020 /pmc/articles/PMC7412774/ /pubmed/32767264 http://dx.doi.org/10.1007/s11596-020-2226-9 Text en © Huazhong University of Science and Technology 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Zhan, Yu-xin Zhao, Shi-yu Yuan, Jiao Liu, Huan Liu, Yun-fang Gui, Ling-li Zheng, Hong Zhou, Ya-min Qiu, Li-hua Chen, Jiao-hong Yu, Jiao-hua Li, Su-yun Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study |
title | Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study |
title_full | Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study |
title_fullStr | Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study |
title_full_unstemmed | Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study |
title_short | Prevalence and Influencing Factors on Fatigue of First-line Nurses Combating with COVID-19 in China: A Descriptive Cross-Sectional Study |
title_sort | prevalence and influencing factors on fatigue of first-line nurses combating with covid-19 in china: a descriptive cross-sectional study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412774/ https://www.ncbi.nlm.nih.gov/pubmed/32767264 http://dx.doi.org/10.1007/s11596-020-2226-9 |
work_keys_str_mv | AT zhanyuxin prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT zhaoshiyu prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT yuanjiao prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT liuhuan prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT liuyunfang prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT guilingli prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT zhenghong prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT zhouyamin prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT qiulihua prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT chenjiaohong prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT yujiaohua prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy AT lisuyun prevalenceandinfluencingfactorsonfatigueoffirstlinenursescombatingwithcovid19inchinaadescriptivecrosssectionalstudy |