Abstract
Background
Frontline clinicians working in emergency departments (ED) were at disportionate risk of workplace violence (WPV). We investigated the prevalence of WPV and its relationship with quality of life (QOL) in this group of health professionals in China during the COVID-19 pandemic.
Methods
A cross-sectional, online study was conducted. The nine-item Workplace Violence Scale measured WPV.
Results
A total of 1,103 ED clinicians participated in this study. The overall prevalence of WPV against ED clinicians was 29.2% (95% CI [26.5%-31.9%]). Having family/friends/colleagues infected with COVID-19 (Odds Ratio (OR) = 1.82, P = 0.01), current smoking (OR = 2.98, P < 0.01) and severity of anxiety symptoms (OR = 1.08, P < 0.01) were independently and positively associated with WPV, while working in emergency intensive care units (OR = 0.45, P < 0.01) was negatively associated with WPV. After controlling for covariates, clinicians experiencing WPV had a lower global QOL compared to those without (F(1, 1103) = 10.9,P < 0.01).
Conclusions
Prevalence of workplace violence against ED clinicians was common in China during the COVID-19 pandemic. Due to the negative impact of WPV on QOL and quality of care, timely preventive measures should be undertaken for ED clinicians.
Keywords: COVID-19, Emergency department, Workplace violence, China
Introduction
Coronavirus disease 2019 (COVID-19) has become a major public health concern since early January, 2020 (World Health Organization, 2020a). By May 2020, over 5.9 million people have been infected with COVID-19 (World Health Organization, 2020b). To contain the rapid transmission of the novel virus, timely identification and treatment of COVID-19 is of crucial importantance (Chan et al., 2020; Shereen et al., 2020). Emergency departments (ED) play a critical role in early identification of infected cases (Bressan et al., 2020; National Health Commission of the People’s Republic of China , 2020), the provision of timely treatment and referral to other units/hospitals (Lam et al., 2016; Lam et al., 2019). Due to highly stressful and overcrowding work environment, heavy workload, limited communication between multidisciplinary team members, inadequate knowledge of the epidemic, lack of personal protective equipment and guidelines on the diagnosis and treatment for patients in the early stage of the COVID-19 pandemic, ED clinicians were exposed to an elevated risk of infection, burnout, mental health problems and even workplace violence (WPV) (Chapman & Styles, 2006; Gerberich et al., 2005; Ismail et al., 2020; Liu et al., 2020).
As a global public health challenge, WPV refers to physically and psychologically damaging actions against professionals in the workplace (National Institute for Occupational Safety and Health, 2016). Verbal and physical violence are common forms of WPV for ED clinicians (Jiao et al., 2015; Lu et al., 2020). A meta-analysis found that the lifetime prevalence of WPV against ED clinicians was 79.8% in China (Lu et al., 2020), the 1-year prevalence of WPV was 12.1% in their American counterparts (Speroni et al., 2014), and 89.9% in Beijing, China (Li et al., 2019) while the 2-year prevalence was 92.9% in Taiwan (Lee et al., 2020).The 1-month prevalence of verbal and physical WPV against WPV were 15.8% and 3.3%, respectively, while the corresponding figures for 3-month prevalence were 13.8% and 3.3% in China (Wang et al., 2019). WPV was found to be associated with diverse negative consequences, such as mental health problems, job dissatisfaction, decreased quality of patient care and medical errors (Gacki-Smith et al., 2009; Wu et al., 2014). In order to reduce the negative outcomes due to WPV, it is important to understand its patterns and correlates. In addition, no studies have examined the association between WPV and quality of life (QOL), a comprehensive health outcome, among ED clinicians during the COVID-19 pandemic. This gap in research has given the impetus to examine the prevalence of WPV and its associated factors in the frontline ED clinicians during the COVID-19 pandemic in China and explore the association between WPV and QOL.
Methods
Setting and participants
This cross-sectional study is part of a nationwide survey on mental health and related problems among clinicians during the COVID-19 pandemic conducted in all the 32 provinces, municipalities and autonomous regions of mainland China between March 15 and March 20, 2020 (Jin et al., 2021; Xie et al., 2021). Due to the risk of contagion, traditional face-to-face assessments and random sampling cannot be not adopted. Similar to other studies (An et al., 2020; Liu et al., 2020; Tian et al., 2020), data were collected using the WeChat-based QuestionnaireStar application (Changsha Renxing Science and Technology, Shanghai, China) using snowball sampling method. WeChat program is a widely used social communication platform with more than 1.2 billion users in China including all the ED clinicians we invited to participate in this study. To be eligible, participants were: (1) frontline ED clinicians during the study period; (2) aged ≥18 years; and (3) provide electronic informed consent. There were no exclusion criteria. The study was approved by the Medical Ethics Committee of Beijing Anding Hospital, China ((2020) KEYAN (No. 10) and (2020) KEYAN (No. 10) - 202024XG-1).
Instruments
A data sheet was designed to collect demographic and clinical information including age, gender, education level, marital status, work experience, shift duty, rank (junior (e.g., nursing asssistants, residents, senior medical officers) vs senior (e.g., nursing manager, associate consultant and consultant)), type of hospital (non-tertiary (primary and secondary) vs tertiary), type of working unit, current smoking, and work experience (yes/no) during the 2003 SARS outbreak. Three additional COVID-19 related questions were also asked: (1) whether they provided direct care for COVID-19 patients; (2) whether they had family members, friends or colleagues infected with COVID-19; and (3) whether they lived in a province with more than 500 confirmed COVID-19 cases throughout the study period.
WPV experienced by frontline ED clinicians during the COVID-19 pandemic was measured by the workplace violence scale, Chinese version (Chen, 2011; Chen et al., 2004), which covers verbal and physical violence. This scale has satisfactory psychometric properties (Duan et al., 2019; Lu et al., 2019; Shi et al., 2020). Following previous studies (Lu et al., 2019; Xie et al., 2021), any verbal or physical violence was considered “experience of WPV” in this study.
Depressive symptoms were measured using the validated nine-item Patient Health Questionnaire (PHQ-9), Chinese version (Kroenke, Spitzer & Williams, 2001; Wang et al., 2014). The total score of the PHQ-9 ranges between 0 and 27, with a higher score indicating more severe depressive symptoms. Anxiety symptoms were assessed by the validated Chinese version of the Generalized Anxiety Disorder Scale-7 (GAD-7) (Spitzer et al., 2006). This scale has been widely used in Chinese populations (He et al., 2010; Tong et al., 2016). Its total score ranges between 0 and 21, with a higher total score indicating more severe anxiety. The sum of the first two items on the WHO Quality of Life Questionnaire-Brief Version (WHOQOL-BREF) (Harper, Power & Grp, 1998) assessed global QOL. A higher total score indicated better global QOL (Gholami et al., 2013).
Statistics
Data analyses were performed with the SPSS statistical software, Version 24.0. Categorical variables were compared using Chi-square tests, and continuous variables were compared using t-tests, or Mann–Whitney U tests between ED clinicians with and without WPV. To explore factors independently associated with WPV, multiple logistic regression analysis was conducted with WPV as the dependent variable. All factors with significant group differences in the univariate analyses were entered as independent variables. Analysis of covariance (ANCOVA) was performed to compare global QOL between ED clinicians with and without WPV after adjusting for covariates. Level of significance was set as P < 0.05 and all tests were 2-tailed.
Results
A total of 1,103 ED clinicians met the study entry criteria and participated in the study. The overall prevalence of WPV was 29.2% (95% Confidence interval (CI [26.5%–31.9%]; 322/1,103), with verbal violence of 27.5% (95%CI [24.8%–30.1%]; 303/1,103) and physical violence of 5.8% (95%CI [4.4%−7.2%]; 64/1,103) during the COVID-19 pandemic in China.
Table 1 presents the basic demographic information of the participants between the ED clinicians with and without violence (violence and non-violence groups, respectively). There were significant differences between the two groups in age, years of work experience, living circumstances, rank, work unit, shift duty, current smoking, having family/friends/colleagues infected with COVID-19, direct patient care of COVID-19 patients and PHQ-9 and GAD-7 total score (all P values <0.05). ANCOVA revealed that ED clinicians with WPV had a lower global QOL compared to those without (F(1,1103) = 10.9, P < 0.01).
Table 1. Demographic characteristics of the study sample.
| Variables | Total (N = 1,103) | Non-violence group (N = 781) | Violence group (N = 322) | X 2 | df | P | |||
|---|---|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | ||||
| Male gender | 102 | 9.2 | 66 | 8.5 | 36 | 11.2 | 2.02 | 1 | 0.16 |
| Married | 710 | 64.4 | 495 | 63.4 | 215 | 66.8 | 1.14 | 1 | 0.29 |
| College education and above | 1073 | 97.3 | 756 | 96.8 | 317 | 98.4 | 2.34 | 1 | 0.13 |
| Living with family | 838 | 76.0 | 578 | 74.0 | 260 | 80.7 | 5.67 | 1 | 0.02 |
| Junior (rank) | 747 | 67.7 | 552 | 70.7 | 195 | 60.6 | 10.68 | 1 | <0.01 |
| Experience of 2003 SARS outbreak | 184 | 16.7 | 130 | 16.6 | 54 | 16.8 | 0.003 | 1 | 0.96 |
| Working in tertiary hospitals | 961 | 87.1 | 681 | 87.2 | 280 | 87 | 0.01 | 1 | 0.91 |
| Working in emergency intensive care | 377 | 34.2 | 299 | 38.3 | 78 | 24.2 | 20.04 | 1 | <0.01 |
| Shift duty | 929 | 84.2 | 670 | 85.8 | 259 | 80.4 | 4.92 | 1 | 0.03 |
| Local COVID-19 cases ≥ 500 | 156 | 14.1 | 116 | 14.9 | 40 | 12.4 | 1.11 | 1 | 0.29 |
| Having infected family/friends/colleagues | 90 | 8.2 | 52 | 6.7 | 38 | 11.8 | 8.05 | 1 | <0.01 |
| Direct care of infected patients | 250 | 22.7 | 157 | 20.1 | 93 | 28.9 | 10.03 | 1 | <0.01 |
| Current smoking | 45 | 4.1 | 22 | 2.8 | 23 | 7.1 | 10.90 | 1 | <0.01 |
| Mean | SD | Mean | SD | Mean | SD | T/Z | df | P | |
| Age (years) | 32.2 | 7.6 | 31.8 | 7.6 | 33.2 | 7.5 | −2.77 | 1101 | <0.01 |
| Working experience (years) | 10.7 | 8.3 | 10.3 | 8.3 | 11.8 | 8.3 | −3.51a | – | <0.01 |
| PHQ-9 total | 4.9 | 5.4 | 4.0 | 4.8 | 7.1 | 6.0 | −9.05a | – | <0.01 |
| GAD-7 total | 3.6 | 4.6 | 2.8 | 4.1 | 5.5 | 5.1 | −9.41a | – | <0.01 |
| Global QOL score | 6.3 | 1.6 | 6.6 | 1.6 | 5.7 | 1.5 | 8.22 | 1101 | <0.01 |
Notes.
Mann–Whitney U test
Bolded values: P < 0.05.
- SD
- standard deviation
- COVID-19
- Corona Virus Disease 2019
- SARS
- Severe Acute Respiratory Syndrome
- QOL
- Quality of Life
- GAD
- Generalized Anxiety Disorder
- PHQ-9
- Patient Health Questionnaire
Table 2 shows the results of multiple logistic regression analysis. Having family/friends/colleagues infected with COVID-19 (Odds ratio (OR) = 1.82, 95%CI [1.13−2.92], P = 0.01), current smoking (OR = 2.98, 95%CI [1.57−5.67], P < 0.01) and more severe anxiety symptoms (OR = 1.08, 95%CI [1.02−1.14], P < 0.01) were positively associated with WPV. In contrast, working in emergency intensive care units (EICU) (OR = 0.45, 95%CI [0.33−0.62], P < 0.01) was negatively associated with WPV.
Table 2. Independent correlates of violence against ED clinicians (multiple logistic regression analysis).
| Variables | Multiple logistic regression analysis | ||
|---|---|---|---|
| P value | OR | 95% CI | |
| Living with family | 0.27 | 1.23 | 0.85–1.78 |
| Junior (rank) | 0.06 | 0.69 | 0.47–1.01 |
| Working in emergency intensive care | <0.01 | 0.45 | 0.33–0.62 |
| Shift duty | 0.28 | 0.79 | 0.51–1.22 |
| Having infected family/friends/colleagues | 0.01 | 1.82 | 1.13–2.92 |
| Direct care of COVID-19 patients | 0.06 | 1.36 | 0.99–1.88 |
| Current smoking | <0.01 | 2.98 | 1.57 –5.67 |
| Age (years) | 0.45 | 0.97 | 0.90–1.05 |
| Work experience (years) | 0.60 | 1.02 | 0.95–1.09 |
| GAD-7 total | <0.01 | 1.08 | 1.02–1.14 |
| PHQ-9 total | 0.06 | 1.05 | 1.00–1.10 |
Notes.
Bold values = P<0.05.
- CI
- confidential interval
- GAD-7
- Generalized Anxiety Disorder
- PHQ-9
- Patient Health Questionnaire
- OR
- odds ratio
Discussion
To the best of our knowledge, this was the first study that examined WPV among ED clinicians during the COVID-19 pandemic. The overall prevalence of WPV against ED clinicians was 29.2% (95% CI [26.5%-31.9%]) in this sutdy. Since no studies have used similar timeframe, direct comparison with findings of this study was not possible. For the sake of orientation, the 1-month prevalence of verbal and physical WPV against ED clinicians were 15.8% and 3.3%, respectively, while the corresponding figures for 3-month prevalence were 13.8% and 3.3% (Wang et al., 2019). Results of these existing studies were lower than the present findings, which were even higher than the 1-year prevalence of WPV against ED clinicians in the US (12.1%) (Speroni et al., 2014), but lower than the 2-year prevalence (92.9%) in Taiwan (Lee et al., 2020), and the 1-year prevalence (89.9%) in Beijing, China (Li et al., 2019). The frequency of WPV in this study was also lower than the lifetime prevalence (79.8%) in ED clinicians in China reported in a meta-analysis (Lu et al., 2020).
There are several reasons that could possibly explain the common WPV against ED clinicians during the COVID-19 pandemic. First, many ED clinicians, especially experienced physicians/nurses, joined the crisis response teams and volunteered to work in hospitals treating patients with COVID-19 infections, which exerted insurmountable pressure on existing scant health resources in China. In addition, low clinician-to-patient ratio, alongside with many cases suffering from life-threatening illnesses in ED that required immediate attention (Ajani, 2012; Chen et al., 2016), may have significantly affect the efficiency and quality of care, which is likely to have increased patients’ and their families’ dissatisfaction and irritability eventually erupting in WPV (Chen et al., 2016). Second, ED clinicians encountered enormous pressure and heavy workload during the pandemic. Excessive mental stress and physical exhaustion easily trigger mental health problems (Li et al., 2020; Xiang et al., 2020), which, together with use of personal protective equipment hindered effective communication with patients, or stirred up conflicts with patients and/or their family members (Li et al., 2019). Third, urgent contingent measures in ED were adopted to prevent the rapid transmission of COVID-19. For example, all patients and their families had to wear facemasks with temperature check on entry and the entrance and exist doors to ED were limited, which increased disputes between hospital administrators, physicians/nurses and patients, together with long waiting times and high medical expenses. All these human and structural factors contributed to the high frenquency of WPV (Liu et al., 2015; Wu et al., 2012).
ED clinicians working in EICU were less likely to report WPV in this study. In EICU, ED clinicians had sufficient time to communicate with patients about their families and adjust treatment plans (Briones, 2016; Michel & Walston, 2018). Furthermore, most family visits were suspended during the COVID-19 pandemic. This reduced the likelihood of face-to-face WPV originated from patients’ families (Sharifi et al., 2020). Besides, emergency psychological response services established for EICU in many hospitals could help alleviate patients’ psychological distress and other mental health problems (Ahmad et al., 2020; Kang et al., 2020; Li et al., 2020; Xiang et al., 2020; Yang et al., 2020), which further reduced the risk of WPV in ED settings.
In this study, ED clinicians who had family/friends/colleagues infected with COVID-19 reported more WPV than those without. Frontline clinicians with infected family/friends/colleagues experienced more fear of contagion and other negative mood symptoms, such as high level of stress, depressive and anxiety symptoms and psychological trauma (Kumar & Nayar, 2020). Psychological trauma was common among healthcare workers with infected family/friends/colleagues during the Severe Acute Respiratory Syndrome (SARS) outbreak (Wu et al., 2009). Clinicians’s negative attitude could affect the overall quality of service delivery and impair effective communication with patients and their families, a contributing factor WPV.
Clinicians who smoked reported more WPV than non-smokers (Arnetz, Arnetz & Petterson, 1996; Borrello, 2012), which was also confirmed in this study. Smoking is associated with high level of work-related stress (Roberts & Grubb, 2014) and burnout (Koutsimani, Montgomery & Georganta, 2019; Roberts & Grubb, 2014), which negatively affects concentration, attention to patients and then increases the risk of medical errors, resulting in poor relationship with patients and high risk of WPV. Similar to previous findings (Cheung & Yip, 2017; Jiao et al., 2015), ED clinicians suffering from severe anxiety symptoms were at higher risk of WPV. The relationship between anxiety and WPV is bidirectional. Anxious ED clinicians are more likely to stir up conflicts with others, resulting in aggression and WPV (Cheung & Yip, 2017). Clinicians’ anxiety affects the quality of care, which could trigger WPV perpetrated by patients and/or their family members (Chen et al., 2008; Pourshaikhian et al., 2016).
Health professionals suffer from short- and long-term adverse consequences following WPV incidents such as, physical injuries, and emotional problems leading to poor quality of care (Magnavita, 2014; Mento et al., 2020). Therefore, it is reasonable to assume that ED clinicians who experienced WPV were more likely to have lower QOL than those without as was found that in this study echoing previous findings (Lu et al., 2020; Nowrouzi-Kia, 2017; Wu et al., 2014).
The merits of this study included the large sample size and use of standardized instruments on WPV. However, there were several limitations that needed to be addressed. First, being a cross-sectional study, the causal relationships between variables could not be established. Second, for logistical reasons, factors potentially related to workplace violence (e.g., clinician-patient relationship, social support, and participants’ preexisting psychiatric, or psychological and/or medical conditions) were not recorded. Third, most of ED clinicians were females, which constitutes gender bias distorting the results to an unknown extent. Finally, Macau, Hong Kong and Taiwan were not included in the study due to their different health service systems from those of mainland China. Finally, the sample size in each province, municipality and autonomous region was not recorded, which would also bias the results.
Conclusions
WPV against ED clinicians was common during the COVID-19 pandemic in China. Due to the detrimental impact of WPV on patient care and clinicians’ QOL, effective preventive measures targeting WPV should be developed and timely psychological assistance should be provided to victims of WPV. Special social support and psychological crisis interventions should be offered to ED clinicians who have family/friends/colleagues infected with COVID-19 (Lai et al., 2020). In addition, health authorites should develop stragies to lower the risk of WPV by creating safe working environment, to increase clinican-patient ratio, to reduce the working hours of health workers, and to set up education and training program on prevention of WPV (Ghareeb, El-Shafei & Eladl, 2021; Liu et al., 2019). Furthermore, as the negative effects of WPV on clinicains’ physical and psychological health and job satisfaction may persist, regular follow-up assessments on their stress level and mental health should be conducted (Byon et al., 2021; Gu et al., 2021; Pan et al., 2020).
Supplemental Information
Funding Statement
The study was supported by the National Natural Science Foundation of China (U19B2032), the National Science and Technology Major Project for investigational new drug (2018ZX09201-014), the Beijing Municipal Science & Technology Commission (Z181100001518005), and the University of Macau (MYRG2019-00066-FHS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Contributor Information
Feng-Rong An, Email: afrylm@sina.com.
Yu-Tao Xiang, Email: ytxiang@um.edu.mo.
Additional Information and Declarations
Competing Interests
The authors declare there are no competing interests.
Author Contributions
Rui Liu performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, and approved the final draft.
Yue Li, Aiping Wang, Yan-Jie Zhao and Anzhe Yuan performed the experiments, analyzed the data, prepared figures and/or tables, and approved the final draft.
Ying An performed the experiments, analyzed the data, authored or reviewed drafts of the paper, and approved the final draft.
Ling Zhang performed the experiments, prepared figures and/or tables, and approved the final draft.
Feng-Rong An and Jia Luo conceived and designed the experiments, authored or reviewed drafts of the paper, and approved the final draft.
Teris Cheung conceived and designed the experiments, prepared figures and/or tables, and approved the final draft.
Gabor S. Ungvari and Ming-Zhao Qin conceived and designed the experiments, authored or reviewed drafts of the paper, and approved the final draft.
Yu-Tao Xiang conceived and designed the experiments, prepared figures and/or tables, authored or reviewed drafts of the paper, and approved the final draft.
Human Ethics
The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):
This study was approved by Medical Ethical Committee of Beijing Anding Hospital, China.
Data Availability
The following information was supplied regarding data availability:
The raw measurements are available in the Supplementary File.
References
- Ahmad et al. (2020).Ahmad F, Wang J, Wong B, Fung WLA. Interactive mental health assessments for Chinese Canadians: a pilot randomized controlled trial in nurse practitioner-led primary care clinic. Asia Pacific Psychiatry. 2020 doi: 10.1111/appy.12400. Epub ahead of print June 30 2020. [DOI] [PubMed] [Google Scholar]
- Ajani (2012).Ajani K. Triage; a literature review of key concepts. Journal of Pakistan Medical Association. 2012;62:487–489. [PubMed] [Google Scholar]
- An et al. (2020).An Y, Yang Y, Wang A, Li Y, Zhang Q, Cheung T, Ungvari GS, Qin M-Z, An F-R, Xiang Y-T. Prevalence of depression and its impact on quality of life among frontline nurses in emergency departments during the COVID-19 outbreak. Journal of Affective Disorders. 2020;276:312–315. doi: 10.1016/j.jad.2020.06.047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arnetz, Arnetz & Petterson (1996).Arnetz JE, Arnetz BB, Petterson I-L. Violence in the nursing profession: occupational and lifestyle risk factors in Swedish nurses. Work & Stress. 1996;10:119–127. doi: 10.1080/02678379608256791. [DOI] [Google Scholar]
- Borrello (2012).Borrello S. Warning! Smoking may be hazardous to your career. Nursing Made Incredibly Easy. 2012;10:56. [Google Scholar]
- Bressan et al. (2020).Bressan S, Buonsenso D, Farrugia R, Oostenbrink R, Titomanlio L, Roland D, Nijman RG, Maconochie I, Dalt LDa, Mintegi S. Preparedness and response to Pediatric CoVID-19 in European Emergency Departments: a survey of the REPEM and PERUKI networks. Annals of Emergency Medicine. 2020;76:788–800. doi: 10.1016/j.annemergmed.2020.05.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Briones (2016).Briones AA. Master’s Projects and Capstones. 2016. Admission handoff between emergency department and inpatient units; p. 460. [Google Scholar]
- Byon et al. (2021).Byon HD, Sagherian K, Kim Y, Lipscomb J, Crandall M, Steege L. Nurses’ experience with type II workplace violence and underreporting during the COVID-19 pandemic. Workplace Health Safe. 2021:21650799211031233. doi: 10.1177/21650799211031233. [DOI] [PubMed] [Google Scholar]
- Chan et al. (2020).Chan JF-W, Yuan S, Kok K-H, To KK-W, Chu H, Yang J, Xing F, Liu J, Yip CC-Y, Poon RW-S, Tsoi H-W, Lo SK-F, Chan K-H, Poon VK-M, Chan W-M, Ip JD, Cai J-P, Cheng VC-C, Chen H, Hui CK-M, Yuen K-Y. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The Lancet. 2020;395:514–523. doi: 10.1016/S0140-6736(20)30154-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chapman & Styles (2006).Chapman R, Styles I. An epidemic of abuse and violence: nurse on the front line. Accident and Emergency Nursing. 2006;14:245–249. doi: 10.1016/j.aaen.2006.08.004. [DOI] [PubMed] [Google Scholar]
- Chen et al. (2016).Chen S, Lin S, Ruan Q, Li H, Wu S. Workplace violence and its effect on burnout and turnover attempt among Chinese medical staff. Archives of Environmental & Occupational Health. 2016;71:330–337. doi: 10.1080/19338244.2015.1128874. [DOI] [PubMed] [Google Scholar]
- Chen et al. (2008).Chen WC, Hwu HG, Kung SM, Chiu HJ, Wang JD. Prevalence and determinants of workplace violence of health care workers in a psychiatric hospital in Taiwan. Journal of Occupational Health. 2008;50:288–293. doi: 10.1539/joh.L7132. [DOI] [PubMed] [Google Scholar]
- Chen (2011).Chen Z. Thesis. 2011. An epidemiological study of hospital workplace violence in Guangzhou city (in Chinese) [Google Scholar]
- Chen et al. (2004).Chen Z-H, Wang S-Y, Lu Y, Jing C-X. Analysis on the epidemiological features and risk factors of hospital workplace violence in Guangzhou. 2004;25:3–5. [PubMed] [Google Scholar]
- Cheung & Yip (2017).Cheung T, Yip PS. Workplace violence towards nurses in Hong Kong: prevalence and correlates. BMC Public Health. 2017;17:196. doi: 10.1186/s12889-017-4112-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duan et al. (2019).Duan X, Ni X, Shi L, Zhang L, Ye Y, Mu H, Li Z, Liu X, Fan L, Wang Y. The impact of workplace violence on job satisfaction, job burnout, and turnover intention: the mediating role of social support. Health and Quality of Life Outcomes. 2019;17:93. doi: 10.1186/s12955-019-1164-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gacki-Smith et al. (2009).Gacki-Smith J, Juarez AM, Boyett L, Homeyer C, Robinson L, MacLean SL. Violence against nurses working in US emergency departments. The Journal of Nursing Administration. 2009;39:340–349. doi: 10.1097/NNA.0b013e3181ae97db. [DOI] [PubMed] [Google Scholar]
- Gerberich et al. (2005).Gerberich SG, Church TR, McGovern PM, Hansen H, Nachreiner NM, Geisser MS, Ryan AD, Mongin SJ, Watt GD, Jurek A. Risk factors for work-related assaults on nurses. Epidemiology. 2005;16:704–709. doi: 10.1097/01.ede.0000164556.14509.a3. [DOI] [PubMed] [Google Scholar]
- Ghareeb, El-Shafei & Eladl (2021).Ghareeb NS, El-Shafei DA, Eladl AM. Workplace violence among healthcare workers during COVID-19 pandemic in a Jordanian governmental hospital: the tip of the iceberg. Environmental Science and Pollution Research. 2021;28(43):1441–61449. doi: 10.1007/s11356-021-15112-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gholami et al. (2013).Gholami A, Jahromi LM, Zarei E, Dehghan A. Application of WHOQOL-BREF in measuring quality of life in health-care staff. International Journal of Preventive Medicine. 2013;4:809–817. [PMC free article] [PubMed] [Google Scholar]
- Gu et al. (2021).Gu Y, Zhu Y, Xu F, Xi J, Xu G. Factors associated with mental health outcomes among patients with COVID-19 treated in the Fangcang shelter hospital in China. Asia Pacific Psychiatry. 2021;13:e12443. doi: 10.1111/appy.12443. [DOI] [PubMed] [Google Scholar]
- Harper, Power & Grp (1998).Harper A, Power M, Grp W. Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychological Medicine. 1998;28:551–558. doi: 10.1017/S0033291798006667. [DOI] [PubMed] [Google Scholar]
- He et al. (2010).He XY, Li C, Qian J, Cui HS, Wu WY. Reliability and validity of a generalized anxiety scale in general hospital outpatients. Shanghai Archives of Psychiatry. 2010;22:200–203. [Google Scholar]
- Ismail et al. (2020).Ismail M, Lee KY, Sutrisno Tanjung A, Ahmad Jelani IA, Abdul Latiff R, Abdul Razak H, Ahmad Shauki NI. The prevalence of psychological distress and its association with coping strategies among medical interns in Malaysia: a national-level cross-sectional study. Asia Pacific Psychiatry. 2020;13:e12417. doi: 10.1111/appy.12417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jiao et al. (2015).Jiao M, Ning N, Li Y, Gao L, Cui Y, Sun H, Kang Z, Liang L, Wu Q, Hao Y. Workplace violence against nurses in Chinese hospitals: a cross-sectional survey. BMJ Open. 2015;5:e006719. doi: 10.1136/bmjopen-2014-006719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jin et al. (2021).Jin Y, Li Y, Li XY, Zhao YJ, Cheung T, Ungvari GS, Li M, An FR, Xiang YT. Prevalence of fatigue and its association with quality of life among frontline clinicians in ophthalmology and otolaryngology departments during the COVID-19 pandemic. Front Psychiatry. 2021;12:678917. doi: 10.3389/fpsyt.2021.678917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kang et al. (2020).Kang L, Li Y, Hu S, Chen M, Yang C, Yang BX, Wang Y, Hu J, Lai J, Ma X, Chen J, Guan L, Wang G, Ma H, Liu Z. The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus. The Lancet Psychiatry. 2020;7:e14. doi: 10.1016/S2215-0366(20)30047-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koutsimani, Montgomery & Georganta (2019).Koutsimani P, Montgomery A, Georganta K. The relationship between burnout, depression, and anxiety: a systematic review and meta-analysis. Frontiers in Psychology. 2019;10:284–284. doi: 10.3389/fpsyg.2019.00284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kroenke, Spitzer & Williams (2001).Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine. 2001;16:606–613. doi: 10.1046/j.1525-1497.2001.016009606.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kumar & Nayar (2020).Kumar A, Nayar KR. COVID 19 and its mental health consequences. Journal of Mental Health. 2020;30:1–2. doi: 10.1080/09638237.2020.1757052. [DOI] [PubMed] [Google Scholar]
- Lai et al. (2020).Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, Wu J, Du H, Chen T, Li R, Tan H, Kang L, Yao L, Huang M, Wang H, Wang G, Liu Z, Hu S. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Network Open. 2020;3:e203976–e203976. doi: 10.1001/jamanetworkopen.2020.3976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lam et al. (2016).Lam SK, Kwong EW, Hung MS, Pang SM. Bridging the gap between guidelines and practice in the management of emerging infectious diseases: a qualitative study of emergency nurses. Journal of Clinical Nursing. 2016;25:2895–2905. doi: 10.1111/jocn.13343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lam et al. (2019).Lam SKK, Kwong EWY, Hung MSY, Pang SMC, Chien WT. A qualitative descriptive study of the contextual factors influencing the practice of emergency nurses in managing emerging infectious diseases. International Journal of Qualitative Studies on Health and Well-Being. 2019;14:1626179. doi: 10.1080/17482631.2019.1626179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee et al. (2020).Lee H-L, Han C-Y, Redley B, Lin C-C, Lee M-Y, Chang W. Workplace violence against emergency nurses in Taiwan: a cross-sectional study. Journal of Emergency Nursing. 2020;46:66–71. doi: 10.1016/j.jen.2019.09.004. [DOI] [PubMed] [Google Scholar]
- Li et al. (2019).Li N, Zhang L, Xiao G, Chen J, Lu Q. The relationship between workplace violence, job satisfaction and turnover intention in emergency nurses. International Emergency Nursing. 2019;45:50–55. doi: 10.1016/j.ienj.2019.02.001. [DOI] [PubMed] [Google Scholar]
- Li et al. (2020).Li W, Yang Y, Liu Z-H, Zhao Y-J, Zhang Q, Zhang L, Cheung T, Xiang Y-T. Progression of mental health services during the COVID-19 outbreak in China. International Journal of Biological Sciences. 2020;16:1732–1738. doi: 10.7150/ijbs.45120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu et al. (2015).Liu H, Zhao S, Jiao M, Wang J, Peters DH, Qiao H, Zhao Y, Li Y, Song L, Xing K, Lu Y, Wu Q. Extent, nature, and risk factors of workplace violence in public tertiary hospitals in China: a cross-sectional survey. International Journal of Environmental Research and Public Health. 2015;12:6801–6817. doi: 10.3390/ijerph120606801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu et al. (2019).Liu J, Gan Y, Jiang H, Li L, Dwyer R, Lu K, Yan S, Sampson O, Xu H, Wang C, Zhu Y, Chang Y, Yang Y, Yang T, Chen Y, Song F, Lu Z. Prevalence of workplace violence against healthcare workers: a systematic review and meta-analysis. Occupational and Environmental Medicine. 2019;76:927–937. doi: 10.1136/oemed-2019-105849. [DOI] [PubMed] [Google Scholar]
- Liu et al. (2020).Liu S, Yang L, Zhang C, Xiang Y-T, Liu Z, Hu S, Zhang B. Online mental health services in China during the COVID-19 outbreak. The Lancet Psychiatry. 2020;7:e17–e18. doi: 10.1016/S2215-0366(20)30077-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu et al. (2020).Lu L, Dong M, Wang SB, Zhang L, Ng CH, Ungvari GS, Li J, Xiang YT. Prevalence of workplace violence against health-care professionals in china: a comprehensive meta-analysis of observational surveys. Trauma Violence Abuse. 2020;21:498–509. doi: 10.1177/1524838018774429. [DOI] [PubMed] [Google Scholar]
- Lu et al. (2019).Lu L, Lok K-I, Zhang L, Hu A, Ungvari GS, Bressington DT, Cheung T, An F-R, Xiang Y-T. Prevalence of verbal and physical workplace violence against nurses in psychiatric hospitals in China. Archives of Psychiatric Nursing. 2019;33:68–72. doi: 10.1016/j.apnu.2019.07.002. [DOI] [PubMed] [Google Scholar]
- Magnavita (2014).Magnavita N. Workplace violence and occupational stress in healthcare workers: a chicken-and-egg situation-results of a 6-year follow-up study. Journal of Nursing Scholarship. 2014;46:366–376. doi: 10.1111/jnu.12088. [DOI] [PubMed] [Google Scholar]
- Mento et al. (2020).Mento C, Silvestri MC, Bruno A, Muscatello MRA, Cedro C, Pandolfo G, Zoccali RA. Workplace violence against healthcare professionals: a systematic review. Aggression and Violent Behavior. 2020;51:101381. doi: 10.1016/j.avb.2020.101381. [DOI] [Google Scholar]
- Michel & Walston (2018).Michel J-P, Walston JD. Oxford textbook of geriatric medicine. Oxford: Oxford University Press; 2018. [Google Scholar]
- National Health Commission of the People’s Republic of China (2020).National Health Commission of the People’s Republic of China Notice on further strengthening epidemic prevention and control in medical institutions. 2020. http://www.nhc.gov.cn/xcs/zhengcwj/202003/0c85996bb762437581e98317365fa01c.shtml. [13 March 2020]. http://www.nhc.gov.cn/xcs/zhengcwj/202003/0c85996bb762437581e98317365fa01c.shtml
- Nowrouzi-Kia (2017).Nowrouzi-Kia B. The impact of workplace violence on health care workers’ quality of life. Developmental Medicine & Child Neurology. 2017;59:675–675. doi: 10.1111/dmcn.13466. [DOI] [PubMed] [Google Scholar]
- National Institute for Occupational Safety and Health (2016).National Institute for Occupational Safety and Health National Institute for Occupational Safety and Health Violence: occupational hazards in hospitals. 2016. https://wwwcdcgov/niosh/docs/pdfs/2002-101pdf. [5 June 2016]. https://wwwcdcgov/niosh/docs/pdfs/2002-101pdf
- Pan et al. (2020).Pan X, Xiao Y, Ren D, Xu ZM, Zhang Q, Yang LY, Liu F, Hao YS, Zhao F, Bai YH. Prevalence of mental health problems and associated risk factors among military healthcare workers in specialized COVID-19 hospitals in Wuhan, China: a cross-sectional survey. Asia Pacific Psychiatry. 2020:e12427. doi: 10.1111/appy.12427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pourshaikhian et al. (2016).Pourshaikhian M, Abolghasem Gorji H, Aryankhesal A, Khorasani-Zavareh D, Barati A. A systematic literature review: workplace violence against emergency medical services personnel. Archives of Trauma Research. 2016;5:e28734-e28734. doi: 10.5812/atr.28734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roberts & Grubb (2014).Roberts RK, Grubb PL. The consequences of nursing stress and need for integrated solutions. Rehabilitation Nursing: the Official Journal of the Association of Rehabilitation Nurses. 2014;39:62–69. doi: 10.1002/rnj.97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharifi et al. (2020).Sharifi S, Shahoei R, Nouri B, Almvik R, Valiee S. Effect of an education program, risk assessment checklist and prevention protocol on violence against emergency department nurses: a single center before and after study. International Emergency Nursing. 2020;50:100813. doi: 10.1016/j.ienj.2019.100813. [DOI] [PubMed] [Google Scholar]
- Shereen et al. (2020).Shereen MA, Khan S, Kazmi A, Bashir N, Siddique R. COVID-19 infection: origin, transmission, and characteristics of human coronaviruses. Journal of Advanced Research. 2020;24:91–98. doi: 10.1016/j.jare.2020.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shi et al. (2020).Shi L, Li G, Hao J, Wang W, Chen W, Liu S, Yu Z, Shi Y, Ma Y, Fan L. Psychological depletion in physicians and nurses exposed to workplace violence: a cross-sectional study using propensity score analysis. International Journal of Nursing Studies. 2020;103:103493. doi: 10.1016/j.ijnurstu.2019.103493. [DOI] [PubMed] [Google Scholar]
- Speroni et al. (2014).Speroni KG, Fitch T, Dawson E, Dugan L, Atherton M. Incidence and cost of nurse workplace violence perpetrated by hospital patients or patient visitors. Journal of Emergency Nursing. 2014;40:218–228. doi: 10.1016/j.jen.2013.05.014. quiz 295. [DOI] [PubMed] [Google Scholar]
- Spitzer et al. (2006).Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine. 2006;166:1092–1097. doi: 10.1001/archinte.166.10.1092. [DOI] [PubMed] [Google Scholar]
- Tian et al. (2020).Tian T, Meng F, Pan W, Zhang S, Cheung T, Ng CH, Li X-H, Xiang Y-T. Mental health burden of frontline health professionals treating imported patients with COVID-19 in China during the pandemic. Psychological Medicine. 2020:1–2. doi: 10.1017/S0033291720002093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tong et al. (2016).Tong X, An D, McGonigal A, Park S-P, Zhou D. Validation of the generalized anxiety disorder-7 (GAD-7) among Chinese people with epilepsy. Epilepsy Research. 2016;120:31–36. doi: 10.1016/j.eplepsyres.2015.11.019. [DOI] [PubMed] [Google Scholar]
- Wang et al. (2019).Wang P-Y, Fang P-H, Wu C-L, Hsu H-C, Lin C-H. Workplace violence in asian emergency medical services: a pilot study. International Journal of Environmental Research and Public Health. 2019;16:3936. doi: 10.3390/ijerph16203936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang et al. (2014).Wang W, Bian Q, Zhao Y, Li X, Wang W, Du J, Zhang G, Zhou Q, Zhao M. Reliability and validity of the Chinese version of the Patient Health Questionnaire (PHQ-9) in the general population. General Hospital Psychiatry. 2014;36:539–544. doi: 10.1016/j.genhosppsych.2014.05.021. [DOI] [PubMed] [Google Scholar]
- World Health Organization (2020a).World Health Organization The Coronavirus disease (COVID-19) outbreak. 2020a. https://wwwwhoint. [March 30 2020]. https://wwwwhoint
- World Health Organization (2020b).World Health Organization Coronavirus disease (COVID-2019) situation reports-132. 2020b. https://wwwwhoint/docs/default-source/coronaviruse/situation-reports/20200531-covid-19-sitrep-132pdf?sfvrsn=d9c2eaef_2. [May 31 2020]. https://wwwwhoint/docs/default-source/coronaviruse/situation-reports/20200531-covid-19-sitrep-132pdf?sfvrsn=d9c2eaef_2
- Wu et al. (2009).Wu P, Fang Y, Guan Z, Fan B, Kong J, Yao Z, Liu X, Fuller CJ, Susser E, Lu J, Hoven CW. The psychological impact of the SARS epidemic on hospital employees in China: exposure, risk perception, and altruistic acceptance of risk. Canadian Journal of Psychiatry Revue Canadienne De Psychiatrie. 2009;54:302–311. doi: 10.1177/070674370905400504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu et al. (2014).Wu S, Lin S, Li H, Chai W, Zhang Q, Wu Y, Zhu W. A study on workplace violence and its effect on quality of life among medical professionals in China. Archives of Environmental & Occupational Health. 2014;69:81–88. doi: 10.1080/19338244.2012.732124. [DOI] [PubMed] [Google Scholar]
- Wu et al. (2012).Wu S, Zhu W, Li H, Lin S, Chai W, Wang X. Workplace violence and influencing factors among medical professionals in China. American Journal of Industrial Medicine. 2012;55:1000–1008. doi: 10.1002/ajim.22097. [DOI] [PubMed] [Google Scholar]
- Xiang et al. (2020).Xiang Y-T, Yang Y, Li W, Zhang L, Zhang Q, Cheung T, Ng CH. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. The Lancet Psychiatry. 2020;7:228–229. doi: 10.1016/S2215-0366(20)30046-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xie et al. (2021).Xie XM, Zhao YJ, An FR, Zhang QE, Yu HY, Yuan Z, Cheung T, Ng CH, Xiang YT. Workplace violence and its association with quality of life among mental health professionals in China during the COVID-19 pandemic. Journal of Psychiatric Research. 2021;135:289–293. doi: 10.1016/j.jpsychires.2021.01.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang et al. (2020).Yang Y, Li W, Zhang Q, Zhang L, Cheung T, Xiang Y-T. Mental health services for older adults in China during the COVID-19 outbreak. The Lancet Psychiatry. 2020;7:e19. doi: 10.1016/S2215-0366(20)30079-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The following information was supplied regarding data availability:
The raw measurements are available in the Supplementary File.
