Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 31 January 2024
Sec. Occupational Health and Safety
This article is part of the Research Topic Mental Health and Sequels to Violence in Primary Health Care View all 6 articles

Workplace violence against Chinese licensed doctors: a cross-sectional study

Wenhao Chen&#x;Wenhao Chen1Jingyu Shi&#x;Jingyu Shi2Jingyi Xu
Jingyi Xu1*Yue Wang
Yue Wang1*Yanbin WuYanbin Wu1
  • 1School of Health Humanities, Peking University, Beijing, China
  • 2School of Public Health, Peking University, Beijing, China

Introduction: China has issued and implemented a series of policies aimed at preventing and controlling workplace violence (WPV) against licensed doctors. However, the prevalence of WPV has not been fundamentally curbed. The aim of this study was to present the prevalence of WPV, identify its influencing factors and propose responsive measures.

Method: The online Chinese Physician Practice Survey was conducted with purposive sampling method among licensed doctors in China from January 2022 to June 2022. Data covered licensed doctors’ sociodemographic characteristics, occupational characteristics, prevalence of WPV, and perception of effective countermeasures.

Results: A total of 74,305 licensed doctors participated in this study. A total of 44.88% of respondents had experienced WPV, among them, either physical violence only (1.06%) or non-physical violence only (89.91%) or encountered both of them (9.03%). Age, gender, marital status, education level, professional title and registration type were all associated with WPV, being younger, non-married, more educated, and higher professional title are all risk factors for WPV. Male (OR = 1.396, 95CI%: 1.355 to 1.439), clinicians (OR = 1.342,95%CI: 1.177 to 1.529), who were single (OR = 1.174, 95%CI: 1.111 to 1.241), with master’s degree (OR = 2.021, 95%CI: 1.739 to 2.349) and professional title were subsenior (OR = 1.194, 95%CI: 1.125 to 1.267) were most likely to occur WPV. WPV occurred mostly in provincial capitals, public hospitals, primary and community hospitals, and departments of internal medicine, surgery, pediatrics, emergency medicine and mental health. Overall, 44.24% of doctors perceived that strengthening crackdowns on criminal behaviors was the most effective measure to prevent WPV against healthcare staff.

Conclusion: The frequency of WPV decreased after the implementation of relevant laws and policies. Future efforts should be made to strengthen crackdowns on illegal and criminal activities and to issue specific legal provisions on the prevention and control of WPV against doctors.

1 Introduction

Workplace violence (WPV) refers to a situation in which an individual is harassed, threatened, or attacked at work (1). It can be classified into two categories: physical violence, such as physical attacks and killings, and non-physical violence, such as verbal abuse and sexual harassment (2). WPV results in negative consequences, including physical injuries, mental health issues, decreased quality of patient care, and medical errors that may worsen the doctor–patient relationship (3).

In recent years, WPV against licensed doctors has become a serious social problem in China (4). Before 2015, the Public Security Administration Punishments Law was the only law that regulated WPV against doctors in China (5). As an increasing number of WPV cases were reported in healthcare settings, China enacted legislation against violence toward doctors (6). In 2015, Criminal Law added the disruption of medical services as a criminal offense and set a punishment of 3–7 years’ imprisonment for violations (7). Therefore, the incidence rate of WPV in hospitals gradually decreased in the following years (4). Later, in 2018, the Chinese State Council approved the Regulation on the Prevention and Handling of Medical Disputes, which explicitly stipulates that individuals who disturb medical services, violate public safety, or cause substantial harm shall hold civil, administrative, and criminal liabilities accordingly (8). On June 1, 2020, China’s first comprehensive legislation on medical services, the Law on the Promotion of Basic Medical and Health Care, came into effect, further strengthening legal protection for doctors (9). On August 20, 2021, the issuance of the Law on Licensed Doctors marked the first legal document that specifically protected licensed doctors’ rights (10).

In addition to legislation, a set of policies have been introduced to control and prevent WPV against doctors. In 2013, the Guidance on Strengthening the Construction of Hospital Safety Prevention Systems suggested that healthcare institutions should build a three-dimensional defense system that combines civil, physical, and technological defense components (11). In 2014, several governmental departments issued the Opinions on Punishment of Illegal Crimes in Medical Services to Maintain Health Institutions’ Normal Order, which noted six types of criminal behaviors for the first time (12). On September 5, 2014, the Notification on Strengthening Safe and Secure Hospital Establishment Activities to Strengthen the Crackdown on Medical Crimes and Maintain Normal Medical Order introduced various measures to prevent, control and intervene in WPV, including intensifying crackdowns on criminal behaviors, strengthening legal and security education for doctors, and truthfully reporting when patients initiated WPV incidents (13). After 2015, China further introduced a series of policies, including the Opinions on Fully Fulfilling the Procuratorate’s Functions to Provide Powerful Judicial Safeguards for Advancing the Construction of a Healthy China (14), Opinions on Strictly Preventing and Controlling Medical-related Illegal and Criminal Activities to Maintain Normal Medical Order (15), and Guiding Opinions on Promoting Safe Order Management in Hospitals (16). However, these laws and policies are, in many cases, scattered, inconsistent, and infeasible, resulting in a high rate of WPV against doctors.

There have been relatively few previous studies on WPV against doctors since the introduction of these legislation, regulations, and policies. In addition, previous studies on WPV against doctors in China have usually concentrated on reported violent incidents, which were attention-grabbing but often underreported (17, 18). Furthermore, these studies often involved doctors in certain departments, hospitals, or provinces and failed to be nationally representative (1921).

The present study focused on Chinese licensed doctors as the research sample. Licensed doctors refer to healthcare workers who have obtained qualifications in accordance with the law and have registered to practice in healthcare institutions. This category includes practicing doctors and practicing assistant doctors, whose health and security are legally protected (10). This study aimed to provide real and accurate information regarding the prevalence of WPV while analyzing the characteristics associated with a high occurrence of such incidents. Additionally, this study further examined licensed doctors’ perceptions of effective measures to control and prevent WPV based on the analysis of relevant characteristics. These findings may help Chinese policymakers understand licensed doctors’ urgent needs and implement effective prevention and control measures.

2 Materials and methods

2.1 Research design

A cross-sectional survey was conducted with purposive sampling method in China between January and June 2022. An online survey was used for data collection to comply with prevention and control measures during the Coronavirus disease 2019 (COVID-19) pandemic. Participants needed to meet the following eligibility criteria: a minimum of 2 years of work experience as doctors in China, possession of the relevant practicing qualification or certification, ability to use the Internet to complete the online questionnaire, and agreement to the terms and conditions for consent. All information collected during the investigations was treated as confidential and anonymous.

A total of 74,373 questionnaires were collected, and Excel 2016 were employed for questionnaire entry and data cleaning. During the process of data cleaning, 68 questionnaires were excluded for repeated submissions, incomplete submissions, or inconsistent responses. Ultimately, a total of 74,305 valid questionnaires were obtained, resulting in an effective response rate of 99.91%.

2.2 Measures

2.2.1 Sociodemographic characteristics

This study examined the following sociodemographic characteristics: gender (male or female), age (≤25, 26–35, 36–45, 46–55, ≥56), marital status (single, married, divorced, or others), and level of education (technical secondary school and below, senior college, bachelor’s degree, master’s degree, doctoral degree, and others).

2.2.2 Occupational characteristics

Occupational characteristics collected in this study included professional title (primary and below, medium, sub-senior, senior), registration type (clinical medicine, stomatology, traditional Chinese medicine, or public health), working area (provincial capital, municipality, county-level city, county town, or township), hospital type (public hospital, non-public hospital, or clinic), and hospital classification (tertiary, secondary, primary, community, or other).

2.2.3 Prevalence of workplace violence and healthcare workers’ response

This study adopted the definition of WPV from International Labor Office (ILO), International Council of Nurses (ICN), World Health Organization (WHO), and Public Services International (PSI). WPV has been divided into physical and non-physical categories (22, 23).

The prevalence of WPV was evaluated through a self-reported question asking participants if they had ever experienced certain behaviors from patients or patients’ relatives. The options included physical violence, non-physical violence, both physical and non-physical violence, or neither physical nor non-physical violence.

Doctors’ perceptions of effective WPV prevention and control measures were evaluated by five options derived from the 2018 White Paper on the Occupational Status of Chinese Physicians. These options included “intensifying crackdowns on criminal behaviors,” “improving the citizen’s level of education,” “building a defense system at healthcare institutions’ entrance,” “strengthening security education for doctors” and “truthfully reporting WPV incidents.” These measures have been proven effective in preventing and controlling WPV (2427).

2.3 Statistical analysis

The sociodemographic characteristics, occupational characteristics, and prevalence of WPV are presented in numbers and percentages. The Chi-square test was used to compare these characteristics among four different groups: those who had experienced physical violence, those who had only experienced non-physical violence, those who had experienced both physical and non-physical violence, and those who had not suffered from either type of violence. Binary logistic regression with the enter method was employed to test the factors influencing WPV among doctors. Sociodemographic and occupational characteristics were analyzed as the independent variables, while whether the participants had encountered WPV was analyzed as a dichotomous variable. The Statistical Package for the Social Sciences (SPSS) (IBM Corp. Released 2019. IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp) was utilized for statistical analysis. All tests were two-tailed, and p < 0.05 was considered statistically significant.

3 Results

3.1 Sociodemographic and occupational characteristics and prevalence of WPV

Table 1 provides an overview of the sociodemographic and occupational characteristics of the study population. A total of 74,305 respondents completed the survey, with 36,267 being male (48.81%) and 38,038 being female (51.19%). More than one-third of the respondents were aged between 36 and 45. Most respondents were married (86.70%) and had obtained at least an undergraduate degree (90.81%). A substantial proportion of participants, specifically 86.19%, were clinical doctors. Many of them worked in public hospitals, accounting for 93.25% of the sample. More than half (57.16%) of the participants worked in tertiary hospitals. Most of the participants resided in provincial capitals and municipalities, comprising 28.57% and 33.12% of all participants, respectively.

Table 1
www.frontiersin.org

Table 1. Sociodemographic, occupational characteristics, and prevalence of WPV.

A total of 33,349 participants (44.88%) reported experiencing WPV in the last 12 months. Among them, 353 (1.06%) only suffered from physical violence, 29,985 (89.91%) only suffered from non-physical violence, and 3,011 (9.03%) experienced both physical violence and non-physical violence. The results indicate that the vast majority of reported WPV incidents were non-physical in nature.

3.2 Binary logistic regression analysis of WPV incidents

Binary logistic regression analysis suggested that gender, age, marital status, and education level were all correlated with WPV incidents (see Table 2 for details). Among them, there was a fluctuating correlation between age and experience of WPV. Compared with doctors over 56 years of age, doctors in other age groups were more likely to experience WPV and showed a negative correlation. Doctors between 26 and 35 years of age (OR = 1.778, 95CI% 1.634 to 1.935) were more likely to experience WPV. Being unmarried (OR = 1.174, 95%CI 1.111 to 1.241) was a risk factor for WPV. Additionally, there was a positive correlation between education status and WPV. This trend declined among those who had a doctoral degree, while those with a master’s degree (OR = 2.021, 95%CI 1.739 to 2.349) had a higher risk of experiencing WPV than others.

Table 2
www.frontiersin.org

Table 2. Binary logistic regression analysis of WPV experience.

Occupational characteristics such as professional title, type of registration, and occupational characteristics including the location, classification, and types of hospitals where a physician worked were all related to WPV. The professional title was positively correlated with whether they had experienced WPV, such as education status and age, and when it reached the senior title, the trend was moderated. Doctors with a sub senior title (OR = 1.194, 95%CI 1.125 to 1.267) were more likely to suffer from WPV. Doctors registered in public health were less likely to experience WPV than others, which may be related to the content of their work. Doctors registered as working in clinical medicine (OR = 1.342, 95CI% 1.177 to 1.529) were the most likely to experience frequent WPV. Compared with doctors in township hospitals, doctors working in provincial capitals (OR = 1.120, 95CI% 1.036 to 1.211) were more likely to suffer from WPV, while doctors in tertiary hospitals were less likely to suffer from WPV. Additionally, doctors in primary hospitals (OR = 1.166, 95%CI 1.075 to 1.266) and community hospitals (OR = 1.169, 95%CI 1.087 to 1.258) experienced a higher frequency of WPV, while doctors in clinics (OR = 0.580, 95%CI 0.480 to 0.701) were less likely to experience WPV than doctors in public hospitals.

In China, licensed doctors are divided into four categories: clinical, stomatology, traditional Chinese medicine, and public health. Within the clinical category, doctors are further divided into various specialties, such as internal medicine, surgery, pediatrics, ophthalmology, otolaryngology, dermatology and venereology, medical imaging, medical laboratory and pathology, emergency medicine, rehabilitation medicine, preventive medicine, mental health, obstetrics and gynecology, anesthesiology, esthetic surgery, cosmetic dermatology, and general medicine. The type of doctor’s occupation is registered with the health administrative department based on their chosen department within the hospital.

The results of the binary logistic regression revealed that the type of registration had an influence on WPV, with clinicians being more susceptible to WPV than public health physicians. Therefore, further subgroup analysis was conducted to explore the factors affecting WPV among clinicians, incorporating sociodemographic and occupational characteristics into the model. Various factors, such as gender, age, marital status, education level, professional title, and occupational type, significantly influenced the exposure of clinicians to WPV, which aligned with the overall findings. Male (OR = 1.375,95%CI 1.326 to 1.426) clinicians were more susceptible to WPV. Furthermore, younger age was associated with a higher likelihood of experiencing WPV. Single (OR = 1.204, 95%CI 1.131 to 1.282) and divorced (OR = 1.160, 95%CI 1.036 to 1.299) clinicians were more prone to WPV than married physicians. Moreover, higher education levels and professional titles were correlated with an increased risk of WPV. Specifically, clinicians specializing in internal medicine (OR = 1.084, 95%CI 1.029 to 1.142), surgery (OR = 1.105, 95%CI 1.041 to 1.172), pediatrics (OR = 1.181, 95%CI 1.114 to 1.252), emergency medicine (OR = 1.915, 95%CI 1.722 to 2.129), and mental health (OR = 1.431, 95%CI 1.301 to 1.574) were more likely to encounter WPV, with emergency medicine and mental health doctors experiencing WPV most frequently, consistent with previous studies. On the other hand, clinicians in medical imaging (OR=0.738, 95%CI 0.689 to 0.789), medical laboratory and pathology (OR = 0.363, 95%CI 0.320 to 0.411), preventive medicine (OR = 0.667, 95%CI 0.534 to 0.832), obstetrics and gynecology (OR = 0.793, 95%CI 0.737 to 0.854), and anesthesiology (OR = 0.335, 95%CI 0.313 to 0.360) were less susceptible to WPV. This finding is in line with the fact that these clinicians have limited long-term contact with patients compared to other specialties (Table 3).

Table 3
www.frontiersin.org

Table 3. Binary logistic regression analysis of clinicians’ WPV experience.

3.3 Prevention and control measures

Table 4 presents licensed doctors’ perceptions of effective measures to prevent and control WPV. The top three effective measures were as follows: intensifying crackdowns on criminal behaviors (n = 32,870, 44.24%), improving the general public’s level of education (n = 15,756, 21.20%), and increasing security measures at the entrances of healthcare institutions (n = 13,549, 18.23%). Less than 10% of licensed doctors considered strengthening security education for healthcare workers (n = 5697, 7.67%) and truthfully reporting WPV incidents (n = 6433, 8.66%) to be effective in preventing and controlling WPV.

Table 4
www.frontiersin.org

Table 4. Prevention and control measure.

4 Discussion

This study examined the influencing factors and response measures to WPV in China. This is the first nationwide study to investigate WPV after the introduction of relevant laws and policies. There were several critical findings on the prevalence of WPV against doctors, including associated influencing factors and preventive and control measures. First, less than half of doctors (44.88%) had experienced WPV in the past year. Second, most WPV incidents in China were non-physical in nature. Third, WPV was associated with certain sociodemographic characteristics represented by sex, age, and education. Fourth, WPV was associated with work-related factors, such as type of clinical registration, location of the hospital, and whether the doctors worked in public, private or community hospitals. Last, doctors reported that intensifying crackdowns on criminal behavior was an effective measure to prevent and control WPV.

Based on previous studies, the rate of WPV was reported to range from 45 to 80% (2729). In this study, the prevalence of WPV was 44.88%, which was lower than that in previous studies. The results also revealed that the prevalence of WPV was close to that of foreign countries, such as Italy, the United States, and the United Kingdom (3034). In addition, the prevalence of physical violence among doctors has dramatically decreased, which may account for the introduction of various laws and policies. Non-physical violence has remained the most common type, which indicates a future direction of policymaking and legislation for Chinese authorities.

The causes of WPV against doctors are very complex. In terms of gender, the outcome of this study is like those of numerous prior investigations, indicating that male doctors are more likely to encounter WPV than their female counterparts (26, 28, 35, 36). Previous studies have also identified age as a significant influencing factor for WPV in China (26). This study found that doctors aged 26 to 35 or younger tended to have an increased likelihood of experiencing WPV owing to insufficient experience communicating with patients (37). Regarding the level of education, previous research has indicated that doctors who hold a master’s degree are more likely to experience WPV (28). This study also found that highly educated doctors (who held a master’s degree or above) suffered a high percentage of WPV.

The results also revealed some interesting findings. The risk of experiencing WPV was much higher for clinically registered doctors than for other types of registered doctors. The reason may be that clinical doctors are required to provide medical services and publish papers, which results in a heavy workload and psychological pressure (3, 24, 38). At the same time, the analysis of clinicians’ experience with WPV showed that doctors specializing in internal medicine, surgery, pediatrics, emergency medicine, and mental health were more likely to encounter WPV, with emergency medicine and mental health doctors experiencing WPV most frequently, which is in accordance with previous studies (3942). Doctors working in medical imaging, medical examination and pathology, preventive medicine, obstetrics and gynecology, and anesthesiology were less likely to be affected by WPV. Most of the horrific incidents of killing and injuring doctors in China (represented by the Civil Aviation General Hospital incident) in recent years have occurred in the emergency department and surgical department. This phenomenon can be explained by the intolerable pain of patients, extremely long waiting times, poor security and overcrowded surroundings (23). For the hospital, the medical treatment process should be optimized to reduce the waiting time of patients. Moreover, healthcare administrative departments should continue to prioritize hierarchical medical systems and reduce the burden of doctors in tertiary hospitals. In addition to hospitals and health authorities, another study showed that social media also plays a key role in promoting occupational safety for physicians (3). This study also noted that WPV incidents mostly occurred in cities, which is consistent with a previous study (24). In China, tertiary and secondary hospitals are mainly responsible for specialized care, while primary-level hospitals are expected to provide basic medical services as well as preventive care (43). A previous study showed that doctors working in tertiary hospitals were more likely to be exposed to WPV during the previous 12 months. Compared with previous studies, this study found that community hospital doctors were vulnerable to WPV. The prevalence of WPV in community hospitals may be ascribed to the unrealistic expectations and distrust (44).

This study found that there was not much difference in Chinese doctors’ perceptions of effective interventions for WPV. With a larger national sample of licensed doctors, a higher rate of licensed doctors reporting that intensifying crackdowns on criminal behaviors was the most effective measure to prevent WPV against them. This is in line with the Chinese Medical Doctor Association’s call for “zero tolerance of violence,” but in practice, attention should still be paid that a law-based and evidence-based process for medical disputes should be established (45). In addition, increasing attention has been focused on building a defense system, suggesting that doctors perceived relevant security measures were insufficient concerning the number of security personnel, quality and stability of the security team, and security measures. The proportion of licensed doctors who believed that truthfully reporting WPV incidents would help prevent and control WPV remained lowest. This is a substantial decline compared with the survey conducted with Chinese licensed doctors in 2011 (53.75%) and 2014 (84.31%), which indicates that in recent years, the news authorities have been more rigorous in reporting medical cases, and the impartiality has been gradually affirmed by doctors, and the media has played a relatively positive role in which is in accordance with the previous study (3, 27). The results also showed that, “improving the citizen’s level of education” and “increasing doctors’ self-protection awareness” are still what doctors consider effective measures to control WPV. Therefore, public education should be strengthened to reduce patients’ unrealistic expectations of medical measures and improve their cognition. Meanwhile, it is very necessary to carry out self-protection training for doctors (23, 46, 47).

5 Strengthen and limitations

Our findings can provide guidance for policymaking related to the prevention and control of WPV against doctors. The results of this study emphasize the importance of implementing proactive measures and introducing legal provisions to mitigate the risk of WPV in medical settings. Additionally, our findings suggest an urgent need for prevention strategies, particularly in high-risk departments such as internal medicine, surgery, pediatrics, emergency medicine, and mental health, where the incidence of WPV is higher than in other departments. In the future, China can further enhance healthcare worker training, improve hospital infrastructure, and implement specific measures to protect doctors from WPV in these key departments.

This study has several limitations. First, the present study involved only licensed doctors, who are regular workers and a high-risk WPV group, since they undertake clinical work and deal with patients for a prolonged period. Second, the effects of the COVID-19 pandemic on the prevalence of WPV cannot be ignored. During the pandemic, the heavy workload, stressful work environment, and insufficient access to medical resources significantly impacted the mental health of doctors, resulting in a notable increase in violence toward doctors (3941). Third, this was a retrospective study, and the data were collected in a self-reported manner, which might have led to cognitive bias.

6 Conclusion

Workplace violence against healthcare workers in China poses a serious threat to the well-being of doctors. The results of this cross-sectional study suggest that the estimated prevalence of WPV against licensed doctors in China has slightly decreased, and sociodemographic characteristics and occupational characteristics are all risk factors. Overall, age and hospital classification are the negative factors affecting the prevalence of WPV, while education, professional title and the administrative level where the hospital is located are the positive factors. Male clinicians, who were single, with master’s degree and professional title were subsenior were most likely to occur WPV. Furthermore, WPV occurred mostly in provincial capitals, public hospitals, primary and community hospitals, and departments of internal medicine, surgery, pediatrics, emergency medicine and mental health. In terms of doctors’ attitudes about how to reduce the incidence of WPV, 44.24% of doctors perceived that strengthening crackdowns on criminal behaviors was the most effective measure to prevent WPV against healthcare staff. However, non-physical forms of WPV remain prevalent. This study can further serve as a guide for policymakers to implement effective measures to control and prevent WPV while creating a more harmonized working environment for licensed doctors in China.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without any undue reservation. Enquiries to access these datasets can be directed to the corresponding authors.

Ethics statement

This research was approved by the Institutional Review Board of Peking University (No. IRB00001052-22053). The patients/participants provided their written informed consent to participate in this study.

Author contributions

YW, JX, and WC: conceptualization. JS: data curation and project administration. WC: writing-original draft. JX, YW, WC, JS, and YbW: writing-reviewing and editing. All authors contributed to the article and approved the submitted version.

Funding

This research was funded by Chinese Medical Doctor Association and the National Health Commission of the People’s Republic of China, Grant number FZS2018-05.

Acknowledgments

The authors thank all health workers who provided necessary information to complete this study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abbreviations

WPV, workplace Violence; ILO, International Labor Office; ICN, International Council of Nurses; WHO, World Health Organization; PSI, Public Services International; 95%CI, 95% confidence interval; PH, Public Health; TCM, Traditional Chinese Medicine.

References

1. Jia, H, Fang, H, Chen, R, Jiao, M, Wei, L, Zhang, G, et al. Workplace violence against healthcare professionals in a multiethnic area: a cross-sectional study in Southwest China. BMJ Open. (2020) 10:e037464–10. doi: 10.1136/bmjopen-2020-037464

Crossref Full Text | Google Scholar

2. Jiao, M, Ning, N, Li, Y, Gao, L, Cui, Y, Sun, H, et al. Workplace violence against nurses in Chinese hospitals: a cross-sectional survey. BMJ Open. (2015) 5:e006719–9. doi: 10.1136/bmjopen-2014-006719

Crossref Full Text | Google Scholar

3. Xiao, Y, Du, N, Chen, J, Li, YL, Qiu, QM, and Zhu, SY. Workplace violence against doctors in China: a case analysis of the civil aviation general hospital incident. Front Public Health. (2022) 10:1–10. doi: 10.3389/fpubh.2022.978322

Crossref Full Text | Google Scholar

4. Li, H, Gao, D, Guan, Y, and Xu, C. Criminal litigation of workplace violence in Chinese hospitals and legal effort to deescalate crimes. INQUIRY. (2023) 60:11532. doi: 10.1177/00469580231153274

Crossref Full Text | Google Scholar

5. Standing Committee of the National People’s Congress . Public security administration punishments law (2012 amendment). (2012). Available at: https://www.pkulaw.com/en_law/1095cd22312af2f3bdfb.html.

Google Scholar

6. Lu, S, Ren, S, Xu, Y, Lai, J, Hu, J, Lu, J, et al. China legislates against violence to medical workers. Lancet Psychiatry. (2020) 7:e9. doi: 10.1016/S2215-0366(20)30005-5

PubMed Abstract | Crossref Full Text | Google Scholar

7. National People’s Congress . Criminal law of the People’s republic of China (2020 amendment). (2015). Available at: https://www.pkulaw.com/en_law/39c1b78830b970eabdfb.html.

Google Scholar

8. State Council . Regulation on the prevention and handling of medical disputes. (2018). Available at: https://www.gov.cn/zhengce/content/2018-08/31/content_5318057.htm.

Google Scholar

9. Standing Committee of National People’s Congress . Law on promotion of basic medical and health care. (2019). Available at: https://www.pkulaw.com/en_law/22a006a09f3565e4bdfb.html.

Google Scholar

10. Standing Committee of National People’s Congress . Law on licensed doctors. (2021). Available at: https://www.pkulaw.com/en_law/a546f061686331ccbdfb.html.

Google Scholar

11. National Health Commission , Ministry of Public Security. Guidance on strengthening the construction of hospital safety prevention system (2013). Available at: http://www.nhc.gov.cn/yzygj/s3589/201310/1c98e954a86642b5bdc8b3f33d79f89c.shtml.

Google Scholar

12. The Supreme People’s Court, the Supreme People’s Procuratorate, Ministry of Public Security, Ministry of Justice, National Health Commission . Opinions on punishment of illegal crimes in medical services to maintain health institutions’ Normal order. (2014). Available at: https://www.spp.gov.cn/spp/flfg/201404/t20140428_71374.shtml.

Google Scholar

13. National Health Commission , Central Committee for Comprehensive Management of public security, Ministry of Public Security. Notification on deepening the safe and security hospital establishment activities to strengthen the crackdown on medical crimes and maintain Normal medical order. (2014). Available at: http://www.nhc.gov.cn/yzygj/s3589/201409/b89257bb411d4ba58139a40c9b2f8872.shtml.

Google Scholar

14. The Supreme People’s Procuratorate . Opinions on Fully Fulfilling the Procuratorate’s Functions to Provide Powerful Judicial Safeguards for Advancing the Construction of a Healthy China. (2016). Available at: https://www.spp.gov.cn/tt/201610/t20161022_170334.shtml.

Google Scholar

15. National Health Commission . Ministry of Public Security, National Administration of Traditional Chinese Medicine. Opinions on Strictly Preventing and Controlling Medical- related Illegal and Criminal Activities to Maintain Normal Medical Order. Available at: http://www.nhc.gov.cn/yzygj/s3589/201707/b2deb57cfb014f439bd34b2ab1c8f6fc.

Google Scholar

16. National Health Commission . The Central Political and Legal Affairs Commission, Office of the Central Cyberspace Affairs Commission, the Supreme People’s Court, the Supreme People’s Procuratorate, Ministry of Public Security, Ministry of Public Security, National Administration of Traditional Chinese Medicine. Guiding Opinions on Promoting Safe Order Management in Hospitals. (2021). Available at: http://www.gov.cn/zhengce/zhengceku/2021-09/28/content_5639773.htm.

Google Scholar

17. Xiao, Y, Chen, TT, Zhu, SY, Zong, L, du, N, Li, CY, et al. Workplace violence against Chinese health professionals 2013–2021: a study of national criminal judgment documents. Front Public Health. (2022) 10:1–11. doi: 10.3389/fpubh.2022.1030035

Crossref Full Text | Google Scholar

18. Ma, Y, Wang, L, Wang, Y, Li, Z, Zhang, Y, Fan, L, et al. Causes of hospital violence, characteristics of perpetrators, and prevention and control measures: a case analysis of 341 serious hospital violence incidents in China. Front Public Health. (2022) 9:1–10. doi: 10.3389/fpubh.2021.783137

Crossref Full Text | Google Scholar

19. Lei, Z, Yan, S, Jiang, H, Feng, J, Han, S, Herath, C, et al. Prevalence and risk factors of workplace violence against emergency department nurses in China. Int J Public Health. (2022) 67:1–10. doi: 10.3389/ijph.2022.1604912

Crossref Full Text | Google Scholar

20. Lu, L, Lok, KI, Zhang, L, Hu, A, Ungvari, GS, Bressington, DT, et al. Prevalence of verbal and physical workplace violence against nurses in psychiatric hospitals in China. Arch Psychiatr Nurs. (2019) 33:68–72. doi: 10.1016/j.apnu.2019.07.002

PubMed Abstract | Crossref Full Text | Google Scholar

21. Guo, Y, Hu, S, and Liang, F. The prevalence and stressors of job burnout among medical staff in Liaoning, China: a cross-section study. BMC Public Health. (2021) 21:1–11. doi: 10.1186/s12889-021-10535-z

Crossref Full Text | Google Scholar

22. Liu, H, Zhao, S, Jiao, M, Wang, J, Peters, DH, Qiao, H, et al. Extent, nature, and influencing factors of workplace violence in public tertiary hospitals in China: a cross-sectional survey. Int J Environ Res Public Health. (2015) 12:6801–17. doi: 10.3390/ijerph120606801

PubMed Abstract | Crossref Full Text | Google Scholar

23. Alkorashy, HA, and Al Moalad, FB. Workplace violence against nursing staff in a Saudi university hospital. Int Nurs Rev. (2016) 63:226–32. doi: 10.1111/inr.12242

PubMed Abstract | Crossref Full Text | Google Scholar

24. Ma, J, Chen, X, Zheng, Q, Zhang, Y, Ming, Z, Wang, D, et al. Serious workplace violence against healthcare providers in China between 2004 and 2018. Front Public Health. (2021) 8:1–8. doi: 10.3389/fpubh.2020.574765

Crossref Full Text | Google Scholar

25. Kader, SB, Rahman, M, Hasan, M, Hossain, M, Saba, J, Kaufman, S, et al. Workplace violence against doctors in Bangladesh: a content analysis. Front Psychol. (2021) 12:1–9. doi: 10.3389/fpsyg.2021.787221

Crossref Full Text | Google Scholar

26. Xing, K, Zhang, X, Jiao, M, Cui, Y, Lu, Y, Liu, J, et al. Concern about workplace violence and its risk factors in Chinese township hospitals: a cross-sectional study. Int J Environ Res Public Health. (2016) 13:2–11. doi: 10.3390/ijerph13080811

Crossref Full Text | Google Scholar

27. Chinese Medical Association . The White Paper on the Practice Status of Medical Doctors in China. (2017). Available at: http://www.cmda.net/u/cms/www/201807/06181247ffex.pdf.

Google Scholar

28. Li, Z, Yan, CM, Shi, L, Mu, HT, Li, X, Li, AQ, et al. Workplace violence against medical staff of Chinese children's hospitals: a cross-sectional study. PLoS One. (2017) 12:1–19. doi: 10.1371/journal.pone.0179373

Crossref Full Text | Google Scholar

29. Sahebi, A, Golitaleb, M, Moayedi, S, Torres, M, and Sheikhbardsiri, H. Prevalence of workplace violence against health care workers in hospital and pre-hospital settings: An umbrella review of meta-analyses. Front Public Health. (2022) 10:1–9. doi: 10.3389/fpubh.2022.895818

Crossref Full Text | Google Scholar

30. Luciani, M, Spedale, V, Romanenghi, M, Villa, CE, Ausili, D, and Di Mauro, S. Violence towards nurses and factors affecting violence in hospital settings: an Italian cross-sectional study. Med Lav. (2016) 7:191–204. Available at: https://mattioli1885journals.com/index.php/lamedicinadellavoro/article/view/4859/3863.

Google Scholar

31. Civilotti, C, Berlanda, S, and Iozzino, L. Hospital-based healthcare workers victims of workplace violence in Italy: a scoping review. Int J Environ Res Public Health. (2021) 18:5860. doi: 10.3390/ijerph18115860

PubMed Abstract | Crossref Full Text | Google Scholar

32. Potera, C . Violence against nurses in the workplace. Am J Nurs. (2016) 116:20–1. doi: 10.1097/01.NAJ.0000484226.30177.ab

PubMed Abstract | Crossref Full Text | Google Scholar

33. Phillips, JP . Workplace violence against health Care Workers in the United States. N Engl J Med. (2016) 374:1661–9. doi: 10.1056/NEJMra1501998

PubMed Abstract | Crossref Full Text | Google Scholar

34. Tee, S, Üzar Özçetin, YS, and Russell-Westhead, M. Workplace violence experienced by nursing students: a UK survey. Nurse Educ Today. (2016) 41:30–5. doi: 10.1016/j.nedt.2016.03.014

Crossref Full Text | Google Scholar

35. Sun, L, Zhang, W, Qi, F, and Wang, Y. Gender differences for the prevalence and risk factors of workplace violence among healthcare professionals in Shandong, China. Front Public Health. (2022) 10:1–8. doi: 10.3389/fpubh.2022.873936

Crossref Full Text | Google Scholar

36. Wu, S, Zhu, W, Li, H, Lin, S, Chai, W, and Wang, X. Workplace violence and influencing factors among medical professionals in China. Am J Ind Med. (2012) 55:1000–8. doi: 10.1002/ajim.22097

PubMed Abstract | Crossref Full Text | Google Scholar

37. Zhu, H, Liu, X, Yao, L, Zhou, L, Qin, J, Zhu, C, et al. Workplace violence in primary hospitals and associated influencing factors: a cross-sectional study. Nurs Open. (2022) 9:513–8. doi: 10.1002/nop2.1090

PubMed Abstract | Crossref Full Text | Google Scholar

38. Campbell, JC, Messing, JT, Kub, J, Agnew, J, Fitzgerald, S, Fowler, B, et al. Workplace violence: prevalence and risk factors in the safe at work study. J Occup Environ Med. (2011) 53:82–9. doi: 10.1097/JOM.0b013e3182028d55

PubMed Abstract | Crossref Full Text | Google Scholar

39. Yang, Y, Li, Y, An, Y, Zhao, YJ, Zhang, L, Cheung, T, et al. Workplace violence against Chinese frontline clinicians during the COVID-19 pandemic and its associations with demographic and clinical characteristics and quality of life: a structural equation modeling investigation. Front Psych. (2021) 15:649989. doi: 10.3389/fpsyt.2021.649989

Crossref Full Text | Google Scholar

40. Chirico, F, Afolabi, AA, Ilesanmi, OS, Nucera, G, Ferrari, G, Szarpak, L, et al. Workplace violence against healthcare workers during the COVID-19 pandemic: a systematic review. J Health Soc Sci. (2022) 7:14–35. Available at: https://journalhss.com/wp-content/uploads/Chirico-et-al-14_35.pdf.

Google Scholar

41. Xie, XM, Zhao, YJ, An, FR, Zhang, QE, Yu, HY, Yuan, Z, et al. Workplace violence and its association with quality of life among mental health professionals in China during the COVID-19 pandemic. J Psychiatr Res. (2021) 135:289–93. doi: 10.1016/j.jpsychires.2021.01.023

PubMed Abstract | Crossref Full Text | Google Scholar

42. Liu, J, Gan, Y, Jiang, H, Li, L, Dwyer, R, Lu, K, et al. Prevalence of workplace violence against healthcare workers: a systematic review and meta-analysis. Occup Environ Med. (2019) 76:927–37. doi: 10.1136/oemed-2019-105849

PubMed Abstract | Crossref Full Text | Google Scholar

43. Wu, D, Wang, Y, Lam, KF, and Hesketh, T. Health system reforms, violence against doctors and job satisfaction in the medical profession: a cross-sectional survey in Zhejiang Province. Eastern China BMJ open. (2014) 4:e006431. doi: 10.1136/bmjopen-2014-006431

Crossref Full Text | Google Scholar

44. Wu, D, Lam, TP, Lam, KF, Zhou, XD, and Sun, KS. Doctors’ views of patient expectations of medical care in Zhejiang Province, China. Int J Qual Health Care. (2017) 29:867–73. doi: 10.1093/intqhc/mzx119

PubMed Abstract | Crossref Full Text | Google Scholar

45. Guan, J . Origin and prevention of workplace violence in health care in China: legal and ethical considerations. Chin Med J. (2017) 13014:1731–6. doi: 10.4103/0366-6999.209888

Crossref Full Text | Google Scholar

46. Yang, SZ, Wu, D, Wang, N, Hesketh, T, Sun, KS, Li, L, et al. Workplace violence and its aftermath in China’s health sector: implications from a cross-sectional survey across three tiers of the health system. BMJ Open. (2019) 99:e031513. doi: 10.1136/bmjopen-2019-031513

Crossref Full Text | Google Scholar

47. Zhang, X, Li, Y, Yang, C, and Jiang, G. Trends in workplace violence involving health care professionals in China from 2000 to 2020: a review. Med Sci Monit. (2021) 27:1–9. doi: 10.12659/MSM.928393

Crossref Full Text | Google Scholar

Keywords: workplace violence, licensed doctors, prevention, China, cross-sectional study

Citation: Chen W, Shi J, Xu J, Wang Y and Wu Y (2024) Workplace violence against Chinese licensed doctors: a cross-sectional study. Front. Public Health. 12:1235576. doi: 10.3389/fpubh.2024.1235576

Received: 06 June 2023; Accepted: 08 January 2024;
Published: 31 January 2024.

Edited by:

Thomas Wenzel, University of Vienna, Austria

Reviewed by:

Mahboubeh Dadfar, Iran University of Medical Sciences, Iran
Dejene Tesfaye, Haramaya University, Ethiopia
Jan Ilhan Kizilhan, University of Duhok, Iraq

Copyright © 2024 Chen, Shi, Xu, Wang and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jingyi Xu, eleanor_xujingyi@hotmail.com; Yue Wang, wangyues@bjmu.edu.cn

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.