Abstract
During the COVID-19 pandemic, significant cases of violence, intimidation, or stigmatization were targeted at healthcare workers (HCWs), patients, and medical infrastructure. These occurrences were most likely just the “tip of the iceberg,” with much more remaining unnoticed. The present study’s purpose was to assess the frequency, characteristics, effects, and contributing factors of workplace violence (WPV) committed against HCWs in AlKarak Governmental Hospital (KGH), South Jordan, during the COVID-19 pandemic. A cross-sectional study was conducted among 382 HCWs (170 physicians and 212 nurses) working in the KGH, Jordan, during January and February 2021, using a semi-structured questionnaire. The current study showed that most participants (65.5%) reported exposure to WPV, mainly verbal violence (52.0%), and patients’ relatives were the principal perpetrators in most incidents. The regular reporting of these incidents is deficient. The victims suffered psychological and physical effects. These assaults on healthcare facilities highlight the importance of effective risk communication at all levels of society to minimize anxiety, stigma, and, eventually, WPV. The way we communicate about COVID-19 is vital in motivating people to take proactive steps to fight the disease and safeguard healthcare.
Keywords: Workplace violence, Healthcare workers, Front lines, Governmental hospital, COVID-19 pandemic, Jordan
Introduction
The coronavirus pandemic is a global pandemic of coronavirus disease 2019 (COVID-19) (Sharma et al. 2020) that was discovered in Wuhan, China, for the first time, then spread all over the globe (Neto et al. 2020).
Healthcare workers (HCWs) are the backbone of all healthcare systems. Therefore, they are at the front line of COVID-19 and confront threats that endanger their lives (Rodríguez-Bolaños et al. 2020).
Workplace violence (WPV) is described as the use of force against another person or a group of people in work-related situations that result in physical or psychological damage, and even death (Ferri et al. 2016). WPV among HCWs is recognized as an alarming global phenomenon (Yenealem et al. 2019). According to the World Health Organization (WHO), about 8% to 38% of HCWs are exposed to violence, mainly physical violence (Khan et al. 2021), by an incidence of eight attacks per 10,000 employees compared to two per 10,000 for the general workplaces (WHO 2018).
During the COVID-19 pandemic, over 600 cases of violence, intimidation, or stigmatization were targeted at HCWs, patients, and medical infrastructure across 40 countries in Asia, the Americas, Africa, and the Near and Middle East regions as recorded by the International Committee of the Red Cross during the first six months of the pandemic. These occurrences were most likely just the “tip of the iceberg,” with much more remaining unnoticed. Accordingly, 13 humanitarian organizations urged governments to establish legislation to safeguard HCWs from assaults during the COVID-19 pandemic, construct safer working conditions, provide mental health assistance, and combat misinformation (Devi 2020).
The overwhelming spread of COVID-19 cases has triggered a wave of violence against HCWs. Governments, hospital administrations, and HCWs must affirm “zero tolerance” for WPV. Violence against HCWs is a critical phenomenon, and there is a lack of comprehensive research to handle it. The prevailing global trends and evident research deficiencies encourage the need for studies to understand and prevent WPV against HCWs, predominately in the era of epidemics (Rodríguez-Bolaños et al. 2020).
In Jordan, like other developing countries, WPV in the healthcare sectors is suffering from scanty research studies and lack of documentation, although it has become a significant problem for HCWs, especially in the past decade (ALBashtawy 2013).
The present study’s objectives were to assess the frequency, characteristics, effects, and contributing factors of WPV committed against HCWs in AlKarak Governmental Hospital (KGH), South Jordan, during the COVID-19 pandemic.
Materials and methods
A cross-sectional study was conducted among physicians and nurses working in the AlKarak Governmental Hospital (KGH), Jordan, during January and February 2021.
Study population
Determination of sample size and sampling technique
All physicians and nurses working in KGH were included in the study; they include 240 physicians and 322 nurses, and the response rate was 75.5%. So, the final number of workers who accepted to participate in the study was 424 workers (190 physicians and 234 nurses). The participants were selected from various departments and during varied shifts with the assistance of the departments’ managers. We excluded 10% of participants who were included in the pilot study, so the final number of staff will be 382 (170 physicians and 212 nurses). Since the study was implemented during the COVID-19 pandemic, the authors made considerable precaution to counter face-to-face interaction as applicable. Therefore, the data were collected online through the KGH staff’s online workgroups on “WhatsApp.” The authors coordinated with these groups’ admins to share the online questionnaire through these groups. The Google Form App was used to create the questionnaire, which was then posted/reposted via groups.
Inclusion criteria
The inclusion criteria were as follows: HCWs (including physicians and nurses) working in clinical settings during the COVID-19 pandemic, having at least one year of work experience, and who gave their consent to participate in the study.
Exclusion criteria
The exclusion criteria were as follows: HCWs suffering from mental illnesses such as depression and incomplete answers of the questionnaire.
Data collection tools
A semi-structured questionnaire was used depending on previous studies (Fallahi-Khoshknab et al. 2016; Alsaleem et al. 2018; Mishra et al. 2018; Harthi et al. 2020), which consisted of the following “8” parts:
Part I: Socio-demographic characteristics and occupational history: age, sex, marital state, education, occupation, years of experience, and rotating shifts
Part II: History of exposure to WPV during the last six months: included questions regarding exposure to WPV during the last six months, type (verbal, physical, or mixed), verbal abuse (was defined as being shouted at, sworn at, humiliated, and threatened with harm), physical abuse (was defined as being hits, kicks, pushes, scratches, or pinches), and the perpetrators (colleagues, patients, and patients’ relatives)
Part III: Assessment of the negative effect of abusive behavior: included 4 items assessing the impact on the physical and psychological well-being of participants, work performance, and social life.
Part IV: Reactions to verbal or physical abuse: consisted of 11 items, which were as follows: doing nothing, avoiding the source of violence, trying to defend themselves physically, reporting abuse to the manager, transferring to another position, telling the person to stop, using the medicine for sleeping, looking for counseling, avoiding thinking or talking about the abuse, being super alert, and taking a sick leave.
Part V: Reasons for non-reporting an episode of WPV: consisted of 8 items, which were “Not considered important, No harm intended, Offender apologized, Feel ashamed, Considered not beneficial, Can manage without help, Did not want to be recorded in their professional file, and others.”
Part VI: Factors contributing to WPV: consisted of 9 items, which were “Intense workload, High patient expectation, Substance abuse by the patient, Long waiting period, Rejection of demands that cannot be accepted, Sensational reports from media, Lack of communication, Inadequate security, and others.”
Part VII: HCWs’ opinion regarding WPV: consisted of 8 items, which were “Qualified staff can predict a violent episode, Patients should be responsible for all their behavior, Staff has the right to legal action even when the patient is the abuser, Abused staff are victims due to personal trait, Staff should expect to be abused during work, Staff violated without injury should not report the incident, Staff taking legal action is at risk of losing their job, Staff pattern and physical setup of work protect them.”
Part VIII: Possible preventive measures to control WPV from participants’ points of view: an open-ended question.
The study’s tools were translated into Arabic and retranslated through a specialized bilinguistic, and the tools were validated by submitting them to a board of discipline experts to judge tool items with relevance and appropriateness. A reliability test was done using the reliability coefficients, which was high and suitable for scientific purposes (Cronbach’s alpha ranged from 0.78 to 0.90). A pilot study was conducted on 10% of staff (20 physicians and 22 nurses), and those participants were withdrawn from the study to recognize the barriers and issues that may emerge during data collection. The questionnaire was revised according to the results of the pilot study, and some modifications were done, mainly removing the question evaluating sexual harassment as almost all participants of the pilot study refused to answer it and considered it a sensitive question.
Data management
The collected data were computerized and statistically analyzed using the SPSS program (Statistical Package for the Social Sciences) version 19.0. Frequencies and percentages were used to reflect qualitative data. Mean and standard deviation were used to summarize quantitative results. Comparison between categorical variables was done by chi-square test. Stepwise multiple logistic regression analysis was carried out to identify independent determinants while adjusting results by potential confounders with their confidence intervals (CIs) 95%. A P value < 0.05 was considered statistically significant.
Results
A total of 382 staff of KGH had participated in the study. Almost half of them (47.1%) were in the age group 35–50 years with a mean of 40.24 ± 11.5 years and more than half of them were female (57.6%) with a bachelor’s degree (47.1 %); nurses were more prevalent (55.5%). Also, most staff (75.9%) worked less than 10 years, and more than half of them (57.6%) worked in rotating work shifts (Table 1).
Table 1.
Items | No. | % |
---|---|---|
Age | ||
20–35 | 135 | 35.34 |
35–50 | 180 | 47.12 |
> 50 | 67 | 17.54 |
Mean ± SD: 40.24 ± 11.5 | ||
Range (years): 22–55 | ||
Sex | ||
Male | 162 | 42.40 |
Female | 220 | 57.60 |
Educational level | ||
Diploma | 115 | 30.10 |
Bachelor | 180 | 47.12 |
Higher educational degree | 87 | 22.78 |
Occupation | ||
Physician | 170 | 44.50 |
Nurse | 212 | 55.50 |
Work duration | ||
< 5 years | 125 | 32.72 |
5–10 years | 165 | 43.19 |
> 10 years | 92 | 24.08 |
Rotating shifts | ||
Yes | 220 | 57.59 |
No | 162 | 42.41 |
Bold imphasis indicates the highest frequency
Regarding the history of exposure to WPV during the last six months, most participants (65.5%) reported exposure to WPV, mainly verbal (52.0%) and mixed violence (32.0%), respectively. The most prevalent verbal violence types were shouts (90.5%) and threats with harm (58.6%). Pushes (91.7%) and hits (80.8%) were the prevalent types of physical violence, respectively. The commonest source of violence was from patient relatives (88.0%). Psychological problems were the most negative effect of violence (84.0%). Most of the staff (64.0%) told the person to stop violence and avoided violence sources (40.0%) as a reaction to violence (Table 2).
Table 2.
WPV during the last 6 months | No. | % |
---|---|---|
History of exposure (n = 382) | ||
Yes | 250 | 65.45 |
No | 132 | 34.55 |
Type of violence: (n = 250) | ||
Physical | 40 | 16.00 |
Verbal | 130 | 52.00 |
Mixed | 80 | 32.00 |
Physical violence: (n = 120) | ||
Hits | 97 | 80.83 |
Kicks | 55 | 45.83 |
Scratches | 33 | 27.5 |
Pushes | 110 | 91.67 |
Pinches | 38 | 31.67 |
Verbal violence: (n = 210) | ||
Shouts | 190 | 90.48 |
Swears | 95 | 45.24 |
Humiliations | 38 | 18.10 |
Threats with harm | 123 | 58.57 |
Perpetrators of violence: (n = 250) | ||
Colleagues | 20 | 08.00 |
Patients | 55 | 22.00 |
Patient relatives | 220 | 88.00 |
Negative effect of violence: (n = 250) | ||
Physical health | 90 | 36.00 |
Psychological health | 210 | 84.00 |
Work performance | 190 | 76.00 |
Social life | 100 | 40.00 |
Reaction to violence: (n = 250) | ||
Nothing | 90 | 36.00 |
Avoid source of violence | 100 | 40.00 |
Tries to defend themselves physically | 75 | 30.00 |
Report abuse to manager | 46 | 18.40 |
Transferred to another position | 73 | 29.20 |
Tell the person to stop | 160 | 64.00 |
Use medicine for sleeping | 88 | 35.20 |
Look for counseling | 75 | 30.00 |
Avoid thinking or talking about the abuse | 83 | 33.20 |
Be super alert | 92 | 36.80 |
Taking sick leave | 85 | 34.00 |
Bold imphasis indicates the highest frequency
Table 3 reveals the most common causes for non-reporting the workplace violence among staff were considering it as non-beneficial (84.8%), and they did not want it to be recorded in their professional file (75.9%). The most important contributing factors for violence were high patient expectations (79.1%) followed by a long waiting period of patients (61.3%) and intense workload (58.9%).
Table 3.
Items | No. | % |
---|---|---|
Reasons for non-reporting: (n = 204) | ||
Not considered important | 110 | 53.92 |
No harm intended | 120 | 58.82 |
Offender apologized | 142 | 69.60 |
Feel ashamed | 85 | 41.67 |
Considered not beneficial | 173 | 84.80 |
Can manage without help | 102 | 50.00 |
Did not want to it be recorded in their professional file | 155 | 75.98 |
Others | 2 | 0.98 |
Contributing factors: (n = 382) | ||
Intense workload | 225 | 58.90 |
High patient expectation | 302 | 79.06 |
Substance abuse by the patient | 210 | 54.97 |
Long waiting period | 234 | 61.26 |
Rejection of demands that cannot be accepted | 77 | 20.16 |
Sensational reports from media | 64 | 16.75 |
Lack of communication | 98 | 25.65 |
Inadequate security | 129 | 33.77 |
Others | 3 | 0.79 |
Participants’ opinions regarding WPV in KGH as illustrated in Graph 1 were as follows: 79.3% of participants agreed with a prediction of a violent episode by qualified staff, 78.0% of staff agreed with the responsibility of the patients for all their behavior, and 75.7% of staff had the right of legal action even when the patient is the abuser. However, some of the staff revealed that the staff pattern and physical setup of work did not protect them (52.9%) and staff violated without injury should report the incident (49.7%), and disagreed that staff who took legal action was at risk of losing their job (49.5%) consequently.
Regarding the possible preventive measures to control WPV from participants’ points of view, security cameras (57.6%), comfortable waiting rooms (53.7%), and beefed-up security (49.2%) were the highest scored measures (Graph 2).
Regarding the relationship between socio-demographic and occupational characteristics of the studied participants and WPV, there were statistically significant associations between young age group (< 35 years), sex (males), rotating shift, duration of work (≤ 10 years), occupation (nurse), educational level (diploma/bachelor), and history of exposure to WPV during the last six months (p < 0.05). Accordingly, multiple logistic regression analysis was conducted. Rotating shift, duration of work (≤ 10 years), young age group (< 35 years), and sex (males) were the significant predictors for WPV (p < 0.05) (Table 4).
Table 4.
Risk factors of WPV | Adjusted OR (95% CI) |
---|---|
Rotating shift (yes) | 4.2 (1.94–7.58)* |
Duration of work (≤ 10 years) | 3.1 (1.29–8.61)* |
Age group (< 35 years) | 2.9 (1.26–7.22)* |
Male group | 2.8 (1.52–8.23)* |
Nurse group | 1.5 (0.75–3.67) |
Educational level (diploma/bachelor) | 1.03 (0.44–2.73) |
*Statistically significant (p < 0.05)
Discussion
Workplace violence against HCWs in conflict settings has been a major concern for decades. The COVID-19 pandemic appended an additional burden on the already stressful healthcare work environment (Said and El-Shafei 2021). The global and rapidly expanding pandemic has placed unprecedented pressures on healthcare systems all over the world. Due to heavy clinical workloads, low clinician-patient ratio, and stressful work settings, HCWs are vulnerable to high risk of WPV (Xie et al. 2021). They have withstood to keep up with the intensifying care needs, and many healthcare structures have suffered enormous difficulties to their provision of healthcare services (Huang et al. 2020).
The current study was conducted in AlKarak Governmental Hospital (KGH) which is a general, governmental hospital dealing with suspected COVID-19 patients at outpatient clinics or emergency departments and confirmed cases in the isolation section.
Our findings showed a high prevalence of WPV attacks on HCWs (65.45%) related to COVID-19. This is higher than that documented by a previous cross-sectional study among Jordanian nurses in different departments at three hospitals in Amman, where the prevalence of verbal and physical abuse was 37.1% and 18.3%, respectively (Ahmed 2012).
The most elevated rates of physical violence and sexual harassment were found in the European Union, and the highest verbal violence and bullying prevalence were documented in the Middle East (Spector et al. 2014). This was illustrated in the results of our study, where verbal attacks were the most reported WPV attacks among the participants. This is also in line with previous studies in Egypt (Abou-ElWafa et al. 2015) and Jordan (Oweis and Mousa Diabat 2005; ALBashtawy 2013), which showed that verbal abuse occurs more often than physical violence. This similarity might be attributed to the fact that the Arab countries almost share culture, social, environmental, and behavioral factors. Moreover, in Ethiopia, verbal abuse was the most well-known type of violence, followed by physical violence (Fute et al. 2015). In South Korea, a survey study was conducted at a Seoul university hospital and found that the prevalence of verbal abuse was higher than that of physical violence (Park et al. 2015).
On the opposite side, a study done in one of the Palestinian hospitals evidenced a higher prevalence of physical violence (35.6%). This might be due to the political issues that raise the stress level that is reflected on patients, their relatives, and HCWs. Also, in Germany, a study was done to evaluate WPV among HCWs in various settings. It was found that about half of participants had experienced physical violence and aggression (Schablon et al. 2012). These previous studies’ verities mirror diversified preventive and control measures in each country and patients’ relatives’ behavior in stressful situations.
In this study, the most prevalent verbal violence types were shouts (90.48%) and threats with harm (58.57%), while pushes (91.67%) and hits (80.83%) were the prevalent types of physical violence, and these results agreed with the results documented by Ahmed (2012) where the most predominant type of verbal abuse was shouting and swearing (75.3% and 44.5%, respectively), while pushing and hitting were the most common forms of physical violence (24.4% and 14.6%, respectively).
The COVID-19 pandemic has generated an extremely threatening environment for HCWs who had reported incidents of violence, discrimination, harassment, and being stigmatized as carriers of infection across many countries. The present study demonstrated that perpetrators of physical and verbal violence were mainly patient relatives, who are often (against regulations) present inside the healthcare facilities during the patient’s care. Other studies affirmed the same findings that relatives or friends of the patient mostly were the perpetrators (Erkol et al. 2007; Zafar et al. 2013). According to Spector et al. (2014), the sources of violence differed throughout the world, with patients themselves responsible for majority of it in Anglo-European areas, while the patient’s families represent the most frequent threat in the Middle East.
According to a well-established evidence, HCWs who are subjected to WPV suffer from physical and mental well-being impairment and several other negative consequences that end with more extended periods of absenteeism, work inefficiency, deterioration of work performance, job dissatisfaction, burnout, and high turnover (Cheung and Yip 2017; Sharma et al. 2019).
In accordance with that, our findings showed that the main negative effects of violence were on psychological aspects of HCWs and their work performance. Psychological effects included feeling afraid and worried about people, and worried about talking about the incidents. Moreover, some try to forget, and others always remember the events; all these effects deteriorate mental health, psychological welfare, and well-being of the exposed HCWs. These negative mental consequences were also revealed in previous studies (Kowalenko et al. 2005; Ryan et al. 2008; Eker et al. 2012; De Puy et al. 2015). Moreover, the current study revealed that HCWs exposed to violence believed that WPV negatively affected their work quality and may lead to high medical errors and low job satisfaction. This is in accordance with a previous study (Kisa 2008) that illustrated the effect of WPV on the medical attitude HCWs.
The prevalence of WPV in Jordan is a notably prominent problem despite the existing governmental policies and legislations. That may be linked to many problems in the sociocultural and economical contexts that were not valued by the policies (Rayan et al. 2016). Moreover, multiple improper modifications to the law were made that led directly to increased cases of WPV against HCWs in Jordan. An urgent action plan was proposed, but not yet approved (Alhamad et al. 2021).
Controlling WPV necessitates reinforcing and reviving existing policies (Rayan et al. 2016). Accordingly, underreporting is still a prominent issue in our study, that is in accordance with the previous studies across the world (Gerberich et al. 2004; Carmi-Iluz et al. 2005; Gates et al. 2006; Shoghi et al. 2008; El-Gilany et al. 2010; Institute for Emergency Nursing Research 2011; Zafar et al. 2013). The most widely recognized reason for underreporting is the lack of confidence that reporting will benefit the reporters, shyness, and fear of stigma to appear on professional files. Actually, most HCWs do not report violent occurrences believing that reporting does not affect and does not make any difference as WPV is expected and tolerated, especially if they were not exposed to harm. Unfortunately, even some of them believe that experiencing WPV is part of their career. Besides, May and Grubbs (2002) found that the significant explanation behind not reporting violent incidents could be the absence of clear hospital policies. On the other hand, Pai and Lee (2011) found that even most registered nurses who reported WPV attacks in Taiwan complained after reporting because no actions or activities were taken.
Regarding the most important contributing factors for WPV against HCWs from participants’ point of views, this study observed that the respondents perceive that the high patient expectation, long waiting periods, intense workload, and substance abuse by patients were the important contributing factors. These findings were similar to a previous study in Jordan (Darawad et al. 2015). Also, ALBashtawy (2013) proved that increased waiting time, overcrowding, and high expectations of clients and their families are perceived as significant contributors to enhancing and triggering violent acts. These outcomes were also upheld by different research (Crilly et al. 2004; Mirza et al. 2012).
On the other side, some factors that were the most prominent ones in other studies (Kumar et al. 2016; Imran et al. 2013; Pund et al. 2017; Darawad et al. 2015) were direct contact of HCWs with highly stressed patients and families, unrestricted movements of visitors in the hospitals, overcrowding, lack of staff training in prevention and management of WPV, unsatisfied treatment plan, low staffing level, and predominance of weapons among patients/family members.
By multiple regression analysis, rotating shift, age < 35 years old, duration of work ≤ 10 years, and male groups were the most important significant risk factors for WPV among HCWs; this concurs with ALBashtawy (2013) findings who additionally uncovered that attendants who were over 30 years of age and have worked in the emergency department for more than 5 years are exposed to less violence than their co-workers. This can be explained as HCWs who had longer years of work experience and exceeded 30 years old became more professional and mature enough to deal with social events and emergencies and had sufficient communication skills accordingly became more capable of predicting, evaluating, managing, and judging hazardous situations better than younger and less experienced HCWs (Hodgson et al. 2004; Nau et al. 2007; Shoghi et al. 2008). In addition to that, males in this study were at more risk for WPV mainly due to the south regions’ cultural issues in Jordon, as they refuse to insult females, and male HCWs usually take night shifts. On the other side, older studies (Nijman et al. 1997; Poster and Ryan 1994) indicated that there was no relationship between years of experience and WPV.
Limitations
This study was cross-sectional, so that it is not possible to ascertain a cause-effect relationship; resource constraints limited the study to a single tertiary care hospital, thereby limiting the generalizability of the study. The questionnaire used for data collection relied on the HCWs’ memory recall; this may have increased the recall bias.
Conclusion
The current study showed that violence against HCWs is a major problem. Verbal violence came first, followed by physical violence. The regular reporting of these incidents is deficient. The victims suffered psychological and physical effects. Also, the study found that the patient’s relatives were the principal perpetrators of violence against HCWs. These assaults on healthcare facilities highlight the importance of effective risk communication at all levels of society to minimize anxiety, stigma, and, eventually, WPV. Moreover, the way we communicate about COVID-19 is vital in motivating people to take proactive steps to fight the disease and safeguard healthcare.
Recommendations
Prevention is more critical than control. Workplace policies and procedures are needed that focus on the security of the environment, reporting and surveillance, and education for all employees and managers on how to prevent and manage WPV. Educational training programs for HCWs are recommended to effectively focus on communication techniques and stress or conflict resolution to manage WPV, as well as establishing clear procedures for reporting incidents of WPV and encouraging HCWs to report attacks. Annual reviews should be conducted to determine the positive and negative aspects of the established WPV prevention policy.
Acknowledgements
The authors would like to thank all participants of this study for their great cooperation.
Author contribution
Nanees S. Ghareeb, Dalia A. El-Shafei, and Afaf M. Eladl were responsible for the study and contributed to the study’s conception and design. Data collection was performed by Nanees S. Ghareeb. The first draft of the manuscript was written by Nanees S. Ghareeb and Afaf M. Eladl. Critical revision of the manuscript was done by Dalia A. El-Shafei. All of the authors read and approved the final manuscript.
Funding
This research did not receive any specific grant from any funding agency in the public, commercial, or not-for-profit sector.
Data availability
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics approval
The study protocol was approved by the Research Ethics Committee of the Faculty of Medicine, Mutah University. Permission to conduct the study was also secured from the hospital manager. Ethical considerations and confidentiality were respected.
Consent to participate
An informed consent was obtained from all participants of this study. The participants were told about the study’s aim, and they were informed that the data would be used for scientific purposes only. The participants were also given the right to refuse or participate in the study.
Consent for publication
Not applicable
Conflict of interest
The authors declare no competing interests.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.