Hui Wang

Hui Wang


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 July 2020 in Nursing Ethics
Verified
Journal Article
Closed access
PDF file
HWHui Wang
Hui Wang
YLYu Liu
Yu Liu
KHKaili Hu
Kaili Hu
MZMeng Zhang
Meng Zhang
MDMeichen Du
Meichen Du
XYXiao Yue
Xiao Yue
Background: When the contagious COVID-19 spread worldwide, the frontline staff faced unprecedented excessive work pressure and expectations of all of the society. Objective: The aim was to explore healthcare workers’ stress and influencing factors when caring for COVID-19 patients from an altruistic perspective. Methods: A cross-sectional, descriptive study was conducted in a tertiary hospital during the outbreak of COVID-19 between February and March 2020 in Wuhan, the capital city of Hubei province in China. Data were collected from 1208 healthcare workers. Descriptive statistics and multiple linear regression were used to analyze the data. Ethical considerations: Research ethics approval (with the code of TJ-IRB20200379) was obtained from Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology. Written informed consent was also received from participants. Results: Less than 60% of participants chose moderate or severe stress on all stressors, indicating a low stress level among healthcare workers. The main source of stress among frontline healthcare workers caring for COVID-19 patients came from the fear of being infected, the fear of family members being infected, and the discomfort caused by protective equipment. Frontline staff who were nurses, were married, and had worked more than 20 days suffered higher stress, whereas rescue staff showed lower stress. Conclusion: The healthcare workers caring for patients with COVID-19 had low stress level, although they still had the fear of being infected or uncomfortable feeling caused by personal protective equipment. A low stress level among healthcare workers indicated their professional devotion and altruism during COVID-19 epidemic. Medical institutions and the government should continue to strengthen infection prevention measures and provide more comprehensive care involving families of frontline healthcare workers, especially nurses and married staff. It will be a lesson to other countries that awaking healthcare workers’ inside motivation and providing necessary support from government and society were significant.

23 February 2020 in medRxiv
Verified
Preprint
Open access
PDF file
ZZZhou Zhu
Zhou Zhu
SXShabei Xu
Shabei Xu
HWHui Wang
Hui Wang
ZLZheng Liu
Zheng Liu
JWJianhong Wu
Jianhong Wu
WWWei Wang
Wei Wang
BACKGROUND: The outbreak of COVID-19 has laid unprecedented psychological stress on health workers (HWs). We aimed to assess the immediate psychological impact on HWs at Tongji Hospital in Wuhan, China. METHODS: We conducted a single-center, cross-sectional survey of HWs via online questionnaires between February 8th and 10th, 2020. We evaluated stress, depression and anxiety by Impact of Event Scale-Revised (IES-R), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder 7-item (GAD-7), respectively. We also designed a questionnaire to assess the effect of psychological protective measures taken by Tongji Hospital. Multivariate logistic regression was used to identify predictors of acute stress, depression, and anxiety. RESULTS: We received 5062 completed questionnaires (response rate, 77.1 percent). 1509 (29.8 percent), 681 (13.5 percent) and 1218 (24.1 percent) HWs reported stress, depression and anxiety symptoms. Women (hazard ratio[HR], 1.31; P=0.032), years of working> 10 years (HR, 2.02; P<0.001), concomitant chronic diseases (HR, 1.51; P<0.001), history of mental disorders (HR, 3.27; P<0.001), and family members or relatives confirmed or suspected (HR, 1.23; P=0.030) were risk factors for stress, whereas care provided by hospital and department administrators(odds ratio [OR], 0.76; P=0.024) and full coverage of all departments with protective measures (OR, 0.69; P=0.004) were protective factors. CONCLUSIONS: Women and those who have more than 10 years of working, concomitant chronic diseases, history of mental disorders, and family members or relatives confirmed or suspected are susceptible to stress, depression and anxiety among HWs during the COVID-19 pandemic. Psychological protective measures implemented by the hospital could be helpful.

3 February 2015 in Neurological Sciences
Verified
Journal Article
Closed access
PDF file
XGXiao-Li Guan
Xiao-Li Guan
HWHui Wang
Hui Wang
HHHai-Shan Huang
Hai-Shan Huang
LMLing Meng
Ling Meng

1 April 2020 in International Journal of Nursing Sciences
Verified
Journal Article
Open access
YLYu Liu
Yu Liu
HWHui Wang
Hui Wang
JCJunhua Chen
Junhua Chen
XZXiaoyun Zhang
Xiaoyun Zhang
XYXiao Yue
Xiao Yue
CPChaohua Peng
Chaohua Peng
To introduce the emergency management of nursing human resources and supplies of a large general hospital when facing the outbreak of coronavirus disease 2019(COVID-19). The Nursing Department of the hospital fully executed its functional authority to establish a three-level echelon of sustainable support, allocate human recourses dynamically, organize pre-service training, supervise the key working steps, formulate positive incentive methods, and deploy medical supplies scientifically. By taking these strategies, the hospital effectively improved the coping capacity of the nursing team and played a positive role in the prevention and treatment of COVID-19. The emergency management of nursing human resources and material resources for COVID-19 of the hospital is successful. But several deficiencies were identified as well, which indicated that the hospital needs to establish an efficient emergency management system, and pay attention to the practice of nursing emergency plans to enhance coping capacities in public health emergencies.

12 March 2020 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
JJJing Jiao
Jing Jiao
YWYu Wang
Yu Wang
CZChen Zhu
Chen Zhu
FLFangfang Li
Fangfang Li
MZMinglei Zhu
Minglei Zhu
TXTao Xu
Tao Xu
Background: To date, most previous studies of frailty among hospitalized elderly Chinese patients have been conducted based on small samples, which cannot represent the elderly patient population. The aim of this study was to identify the prevalence of and risk factors for frailty among elderly patients in China. Study design and setting: This cross-sectional study surveyed 9996 elderly patients from 6 tertiary-level hospitals in China. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. A mixed-effects Poisson regression model was used to analyse the factors associated with frailty among elderly patients. Results: The mean age of all subjects was 72.47 ± 5.77 years. The prevalence rate of frailty in this study was 18.02%. After adjustments were made for the confounding effect of the clustering of hospital wards, a mixed-effects Poisson regression model showed that the associated factors of frailty included the following: age (OR: 1.016, 95% CI: 1.012–1.020), BMI < 18.5 (OR: 1.248, 95% CI: 1.171–1.330), female gender (OR: 1.058, 95% CI: 1.004–1.115), ethnic minority (OR: 1.152, 95% CI: 1.073–1.236), admission to hospital by the emergency department (OR: 1.104, 95% CI: 1.030–1.184), transit from another hospital (OR: 1.159, 95% CI: 1.049–1.279), former alcohol use (OR: 1.094, 95% CI: 1.022–1.171), fall history in the past 12 months (OR: 1.257, 95% CI: 1.194–1.323), vision dysfunction (OR: 1.144, 95% CI: 1.080–1.211), cognition impairment (OR: 1.182, 95% CI: 1.130–1.237), sleeping dysfunction (OR: 1.215, 95% CI: 1.215–1.318), urinary dysfunction (OR: 1.175, 95% CI: 1.104–1.251), and defecation dysfunction (OR: 1.286, 95% CI: 1.217–1.358). The results also showed some of the following protective effects: BMI > 28 (OR: 0.897, 95% CI: 0.856–0.940); higher education level, including middle school (OR: 0.915, 95% CI: 0.857, 0.977) and diploma and above (OR: 0.891, 95% CI: 0.821, 0.966); and current alcohol use (OR: 0.869, 95% CI: 0.815, 0.927). Conclusion: We identified a relatively high prevalence of frailty among elderly patients, and there are several associated factors among the population derived from this investigation of a large-scale, multicentre, nationally representative Chinese elderly inpatient population. Trial registration: Chinese Clinical Trial Registry, ChiCTR1800017682, registered 09 August 2018.

1 November 2020 in Sleep Medicine
Verified
Journal Article
Closed access
YWYu Wang
Yu Wang
LZLi-Yun Zhu
Li-Yun Zhu
YMYu-Fen Ma
Yu-Fen Ma
HBHai-Xin Bo
Hai-Xin Bo
HDHai-Bo Deng
Hai-Bo Deng
XWXin-Juan Wu
Xin-Juan Wu