Abstract
BACKGROUND:
Workplace violence is an important event that affects the safety of healthcare employees, and diagnosing it in hospitals is an immediate occupational concern.
OBJECTIVE:
The present study was conducted to investigate general health and the prevalence of occupational violence and to predict its consequences among nurses and paramedics as the main body in medical settings.
METHODS:
This cross-sectional study was performed in 2020 in a selected hospital in Tehran, Iran. A total of 208 healthcare workers participated in the study. To study general health, exposure to workplace violence, job burnout, and productivity, the general health questionnaire (GHQ), the workplace violence questionnaire, the Maslach burnout questionnaire, and the workforce productivity questionnaire were provided to healthcare workers, respectively. Then, a multiple linear regression model was used to predict violence and its consequences.
RESULTS:
The results revealed that 34.1% of the participants have psychological disorders, and 74.5% have experienced one type of violence in their workplace at least once during the past year. The multiple linear regression model results indicated that workplace violence prevalence proved the ability to predict the increase in burnout and decrease in job productivity.
CONCLUSION:
Exposure to violence in the workplace significantly increases the risk of mental disorders associated with the risk of mental illness. Therefore, managing exposure to violence in the workplace is a practical step in improving general and mental health and ultimately increasing job productivity in medical settings.
Introduction
The assessment of workplace violence in working environments is a global concern. Researchers have proposed various theories and models to define and cause violence. However, in any case, all studies and sources cover a range of behaviors, from verbal abuse to physical assault [1]. According to the definition of the Department of Occupational Health and Safety, violence in the workplace is any behavior or threat of physical injury, harassment, intimidation, or other destructive, threatening behavior in the workplace [2]. The World Health Organization (WHO) also considers occupational violence to be the deliberate use of physical force against oneself, another person, or against a group or community that results in injury, death, trauma, and depression to the victim [3].
Violence in the workplace is a harmful occupational factor that is considered a warning for mental health and includes such things as harassment, beatings, racial insults, and sexual assault [1]. Violence also includes a range of intentional acts of physical, mental, emotional, and verbal violence that hurt a person’s physical and psychological health [4]. Psychological violence is defined as the deliberate use of power, including the threat of physical force against another person or group that could cause physical, psychological, spiritual, moral, or social harm. Psychological violence consists of verbal violence (insults), coercion, bullying, harassment, and threats [5]. Physical violence also includes injuring a person by e.g. hitting, cutting, kicking and slapping [6].
Workplace violence (WPV) is usually categorized into four types based on the perpetrator’s relationship with the abused person. The first type of violence is common in healthcare workers (HCWs), including nurses, paramedics, and physicians [7, 8]. The second type involves criminal activities such as robbery committed by an offender who has no direct connection to the workplace. The third type includes cases in which the client is abused in the workplace, such as the patient being abused by healthcare workers (HCWs). The Fourth type includes co-workers’ violence against each other, and the fourth type is violence inflicted by the client on employees and service providers [2].
Nurses and paramedics are in close contact with patients and their families, resulting in countless interactions that expose them to violent incidents [9]. HCWs exposed to violence experience increased stress and decreased job satisfaction, with adverse long-term health consequences [10]. In addition to increasing negative emotions and physical and psychological effects, violence reduces nurses’ quality of care and work ethic [11, 12]. In a longitudinal study, Magnavita found that WPV and work-related distress were interrelated [13]. Nurses who suffered from violence in the workplace were under much stress. High workloads increase interpersonal conflict and decrease efficiency and teamwork, which may predict the occurrence of non-physical violence in the future [14].
Exposure to violence has been associated with adverse health effects on HCWs, such as anxiety, depression, insomnia, stress-related disorders, and loss of self-esteem [15, 16]. Moreover, suicidal ideation [17], irritability, aggression, and psychotropic substance abuse can negatively affect the quality of healthcare services provided by traumatized HCWs [15]. As a result of their work performance, nurses experience psychosocial conditions such as high levels of stress, anxiety, and fatigue, mainly due to the nature and location of the job [18, 19]. These unfavorable psychosocial conditions are also related to reduced quality of life at the level of perceived health. It is also associated with increased absenteeism as well as cardiovascular, musculoskeletal, and mental healthdisorders [20].
Studies have revealed that HCWs who have experienced violence in the workplace have more burnout and less job satisfaction, which increases the desire to leave the job [21, 22]. Burnout is an emotional experience that represents a long-term response to interpersonal stressors in the workplace [23], and reflects a person’s psychological reaction to specific work-related events [24]. Burnout has been noted among hospital HCWs due to its high prevalence [25]. Previous studies has demonstrated that the rate of burnout among people working in the healthcare sector in Iran is usually reported to be moderate to high, and it is generally believed that the risk of burnout in HCWs is higher than compared to other employees [26–28].
In the nursing team, high rates of burnout cause more musculoskeletal disorders, occupational injuries, absenteeism, job dissatisfaction, and abuse of alcohol and other drugs [29]. In addition, it hurts the quality of care received by patients and the mental health of nurses, which can lead to depression, anxiety, low self-esteem, etc. [30]. Previous researchers have suggested that high levels of burnout in nurses can contribute to increased psychological distress and reduced job productivity [23, 24]. It can be said that productivity is a combination of efficiency and effectiveness, which includes achieving the organization’s goals, reducing costs, providing high-quality services, and reducing absenteeism [31]. In other words, the high level of clinical productivity of nurses ensures the achievement of hospital goals, improves the effectiveness of nursing care, and reduces absenteeism [32].
Therefore, due to the lack of similar studies, the importance of this issue among HCWs, and also considering the high impact of occupational violence on burnout, general health, and employee productivity, especially in medical settings as a highly interactive, challenging, and stressful work environment, this study examined general health, occupational violence, and its relationship with burnout and job productivity among nurses and paramedics in medical settings.
Method
Study design
This descriptive-analytical and cross-sectional study was performed in 2020 in a large hospital in Tehran, Iran. Participants were selected by a census of all nurses with at least two years of work experience. After obtaining permission from the hospital managers and human resources, explaining the study objectives, and getting the consent of the participants, a total of 208 nurses were participated. Inclusion criteria included at least two years of work experience, and exclusion criteria were chronic mental illness, taking sedatives, and lack of enough consent to participate in the study. The questionnaires were then distributed among the participants and collected confidentially after completion. Participants were able to leave the study if they were not satisfied. Before starting the research and completing the questionnaires, all the necessary information about how to complete the questionnaires was presented to thepersonnel.
Data collection tools
General health
The General Health Questionnaire (GHQ) is a self-assessment test commonly used in clinical settings to track people with mental disorders. In preparing this questionnaire, two main categories of phenomena have been considered: one category is the inability of an individual to have a healthy performance, and the other category is the occurrence of new sensations with a disabling nature. The main form of this questionnaire has 60 questions, which was prepared by Goldberg in 1972 and had several short forms [33]. For the 12-question form, this dimensional scale is not considered and is proposed as a one-dimensional scale for identifying psychological problems. This type is recommended for use in research in professional and organizational environments. Scoring was done using the Likert system. A low score on this scale indicates higher mental health. The 12-item GHQ questionnaire, known as GHQ-12, has been translated by Montazeri et al., and its validity and reliability have been confirmed. (Cronbach’s alpha coefficient = 0.87). They also set the best cutting point at 3.5. Their study findings indicated that the Iranian version of the GHQ-12 has an excellent structural characteristics and is a reliable and valid tool that can be employed for measuring psychological well-being in Iran [34]. In our study, the value of Cronbach’s alphawas 0.85.
Workplace violence
The questionnaire was developed in 2003 by the International Labor Organization, International Council of Nurses, WHO, and International Joint Service Program on WPV in the health sector. The questionnaire consists of three parts: The first part is the demographic information, which extracts information such as age, gender, marital status, profession, work experience, work environment, previous training in violence at work, and the degree of concern about violence at work. The second part evaluates the experience of physical violence in the last 12 months, and the third part considers the experience of psychological violence during the previous 12 months. It deals with verbal abuse, coercion, sexual harassment, and threats. Three forms of violence were measured, physical, verbal, and coercive. Participants who had experienced at least one type of WPV in the past 12 months were classified as WPV. The responses to each item ranged from 0 = never happened to 5 = every day The validity and reliability of this tool was confirmed in the Iranian study conducted by Azad et al. [35]. The reliability coefficient of this questionnaire was calculated as 0.82 [36]. In our study, the value of Cronbach’s alpha was 0.80.
Burnout
The Maslach Burnout Questionnaire consists of 22 items that measure the frequency and severity of all three aspects of burnout, including emotional exhaustion, depersonalization, and personal inadequacy; there are nine questions related to emotional fatigue, five questions about metamorphosis, and eight questions related to the feeling of individual performance. The intensity of these emotions ranges from zero (never) to 6 (too much). The scores for each aspect are based on the Maslach & Jackson reference score in the low, medium, and high categories. The overall score obtained from each of these subscales is also not summable. Maslach and Jackson calculated the internal reliability for each of the subscales. The validity and reliability of the Persian version of this tool was confirmed in the study of Moalemi et al. among nurses [37]. The reliability coefficient of this questionnaire has been estimated to be 0.71–0.92 [38, 39]. In our study, the value of Cronbach’s alpha was 0.86.
Productivity
Goldsmith and Hersey developed the Human Resources Productivity Questionnaire in 1980. This questionnaire includes 26 questions and seven dimensions, including ability, understanding and recognition, organizational support, motivation, feedback, credibility, and adaptability of human resources in performing organizational affairs [40]. Scoring was based on a Likert rating from strongly agree (5) to strongly disagree (1). The validity and reliability of this questionnaire had been confirmed in previous Iranian studies [41, 42]. The internal reliability of the questionnaire was reported to be 0.90 [43]. In our study, the value of Cronbach’s alphawas 0.89.
Data analysis
Data were analyzed using SPSS software version 25 at a significance level of p < 0.05. Data were summarized using descriptive statistics such as frequency, mean and standard deviation. To check the normality of the variables, the Q-Q Plot was used. The results showed that the data distribution is normal (p > 0.05). Also, the differences between different parameters were investigated by the Kruskal-Wallis test (due to the ranking of variables) and Chi-square. The correlation matrix was used to check the multicollinearity and confirmed that there was not any correlation between independent variables. To test the homoscedasticity, the data was plotted on a scatterplot to produce a scatterplot that includes the entire model. The results revealed that the variance of the residuals is constant. Finally, according to the previous assumptions, a multiple linear regression model was used to predict the prevalence of occupational violence and its consequences (burnout and job productivity).
Results
Demographic information
A total of 208 nurses and paramedics participated in this study. The participants’ mean age and work experience were 34.5±7.4 and 10.6±6.9 years, respectively. Women were 60.1% of the participants, and the gynecology section had the highest level of participation in the research, which can be seen in Table 1. The prevalence of occupational violence among participants concerning their gender is presented in Table 2. Table 3 also illustrates the relationship between demographic information and the studied variables. According to this table, gender and the department (sector) in which a person works are the most critical factors in the prevalence of violence exposure and its consequences among nurses and paramedics. The Chi-square test revealed a significant relationship between gender and the department with the prevalence of WPV and the burnout rate and job productivity (p < 0.05; effect size:0.65).
Occupational and demographic characteristics of the participants
Occupational and demographic characteristics of the participants
Prevalence of occupational violence among participants with respect to their gender
*The numbers outside the parentheses are the number of people. Numbers in parentheses are frequency percentages.
The association of demographic characteristics with WPV, burnout, productivity, and general health
*Chi-square test; P-value <0.05.
Examining the prevalence of violence among nurses and paramedics indicated that 74.5% of the participants had experienced one type of violence in their workplace at least once during the last year. The prevalence of physical, verbal, and coercion violence among participants were 31.2%, 70.7%, and 45.2%, respectively. Physical, verbal, and coercion violence was higher in men compared to women (p < 0.05), and there was no significant difference in the prevalence of violence among nurses and paramedics (p < 0.05) (Table 3).
General health, and its relationship to occupational violence
The general health study among nurses and paramedics proved that 65.9% of the participants had no mental disorders. The rate was lower among nurses (62%) than paramedics (74.2%). Also, mental health was higher among women (68.8%) than men (61.4%), but there was no significant relationship between participants’ mental health, occupation, and gender (p < 0.05).
Burnout, productivity and their relationship with occupational violence
According to Table 4, the rate of emotional burnout, depersonalization burnout, and burnout of personal accomplishment among nurses and paramedics are not significantly different (p > 0.05). Also, the burnout rate in men was higher than in women (p < 0.05).
Burnout rate, job productivity, and general health among participants
Burnout rate, job productivity, and general health among participants
*The numbers outside the parentheses are the number of people. Numbers in parentheses are frequency percentages.
The job productivity study also revealed that the level of productivity in nurses and paramedics was not significantly different (p > 0.05). On the other hand, women’s productivity was higher than men’s (p < 0.05).
Predicting the prevalence of occupational violence in participants based on general health
*Multiple Linear Regression, p-value <0.05.
According to Table 6, the results of the multiple linear regression model used at the significance level of 0.05 showed that, in general, by fixing other variables, there is a significantly positively correlated between the prevalence of verbal violence in both men and women in increasing all three levels of burnout. Also, the prevalence of coercion violence among female caregivers is associated with increased metamorphic burnout (β= 0.618). Regarding the level of productivity among HCWs, there is an inverse and significant relationship between the prevalence of verbal violence in both sexes in reducing productivity. Meanwhile, the prevalence of verbal violence among male nurses is most associated with reduced productivity (β= –0.514).
Prediction of burnout and job productivity in participants
*Multiple Linear Regression. p-value <0.05.
The results of predicting the prevalence of occupational violence among HCWs using a multiple linear regression model revealed that based on beta coefficients, at a significance level of 0.05, by fixing other variables, physical violence had the most direct effect on the prevalence of general health among male nurses (β= 0.421) and verbal violence among male nurses (β= 0.356) had a significant relationship that can be seen in Table 5.
Discussion
According to the present study’s findings, the GHQ-12 score was higher than the cut-off point for about one-third of the studied participants (34.1%). This finding indicates that psychological distress is almost common among this group of healthcare professionals and is generally consistent with results reported in other countries. Su et al. reported a 42% prevalence of psychiatric disorders among Taiwanese nurses [44]. A study of Spanish nurses reported a rate of mental illness of 41.1% [45]. Another study in Spain reported that 32.3% of participants suffered from psychiatric disorders [46]. Findings show that in the general population of Iran, about 21% of the population suffers from mental disorders such as depression and anxiety [47]. This fact suggests that Iranian nurses may be at greater risk of mental health than the general Iranian population. In addition, some variables can increase this risk, such as having a low work commitment, and working in a high-stress environment, which also reveals a direct link between the nature of the job and the lives of others.
Rahmani et al., in their study among hospital staff in Iran, reported that some jobs, such as anesthesiologists and operating room staff, experienced high job stress and had less job satisfaction [28]. In another study, Rahmani et al. showed that the burnout rate among medical staff is high, especially during the COVID-19 pandemic. This issue requires the implementation of control measures as soon as possible [26].
In the present study, 74.5% of the nurses and paramedics experienced one type of violence in their workplace at least once during the last year. This is in line with a study conducted in China [48]. In the study conducted among Turkish nurses, Thales et al. Concluded that 85.2% of the study participants were exposed to at least one type of violence, that 41.1% were physically violent [49].
Men obtained lower mental health scores than women and nurses compared to paramedics who experienced higher levels of violence, which is confirmed by the results of predicting the prevalence of occupational violence among HCWs based on mental health scores. According to the regression results, by fixing other variables, general health had the most direct and significant relationship with the prevalence of physical violence among male nurses (β= 0.421) and verbal violence among male paramedics (β= 0.356). The most important reason for the higher prevalence of violence among nurses than paramedics, in addition to their mental health status, is the more direct exposure of these people to patients and their companions. According to the research findings, physical and verbal conflicts with the patient’s relatives are the most crucial factor in violence in HCWs. The studied nurses expressed the concern of the patient’s relatives about their patient’s health condition, which increases their anxiety, stress, and irritability as one of the reasons for the increase in the prevalence of violence. Another reason cited by HCWs that can contribute to the prevalence of violence is the large number of patients compared to the number of caregivers. The high volume of patients in hospitals may help to create tension between patients and HCWs because HCWs may not provide proper services due to time constraints [1]. The findings also demonstrate that insufficient skills of HCWs that provoke patients and their companions can be critical factors in increasing the prevalence of violence in medical settings [48].
Examination of the burnout results displayed a significant and direct relationship between increasing levels of burnout in nurses and paramedics with experience of verbal violence. The extent of this relationship in men’s emotional burnout, depersonalized burnout, and personal accomplishment in women is equal to β= 0.442, β= 0.341, and β= 0.340, respectively. The present study’s findings explained that the burnout rate among HCWs was moderate, which can be attributed to job insecurity, limited job opportunities, injustice, lack of incentive policies for nurses, lack of nursing staff, hard work, frequent night shifts, and sleep problems. Higher levels of burnout were associated with lower quality of patient care. This relationship between burnout and poor care is manifested by changes in behavior and mood [50].
The present study’s findings demonstrated that nurses experience high job stress due to their job characteristics and work environment conditions. Job stress, in turn, leads to burnout. Researchers have shown that nurses who have experienced violence in the workplace have more burnout and more negative attitudes toward work, including lower job satisfaction and increased dismissal [22]. The researchers also found that high levels of burnout in nurses could contribute to psychological disorders, decreased performance, and job productivity [24].
According to the present study, most of the studied nurses and paramedics reported average job productivity. One way for organizations to reduce staff shortages is to create extensive work shifts. Nowadays, instead of the standard 8-hour shift, HCWs work 10, 12, 16, or more shifts to provide ongoing patient care. The study of job productivity showed a significant and inverse relationship in reducing productivity in nurses and nurses with experience of verbal violence. The rate of this relationship in men and women is equal (β= –0.424 and β= –0.293, respectively). There is no doubt that a change in the traditional 8 hours increases employee fatigue, health care errors, decreased alertness, and ultimately reduced productivity [51]. The present study indicated that men were more exposed to violence than women. Similar to this study, in another study of clinical staff exposure to occupational violence, women experienced less physical violence than men [52]. In contrast, a study conducted in Australia shows that female nurses are the most victims of violence. [53]. This discrepancy can be more respect for women’s privacy in the culture of the Iranian people.
According to our results, there was no significant relationship between age and occupational violence, which is consistent with the results of the Aghili Nejad study [54]. No significant relationship was found between marital status and occupational violence. In the study of Rodriguez et al., no significant association was found between marriage and violence [55].
Also, this study found no significant relationship between body mass index (BMI) and occupational violence. The purpose of using BMI in this study was to reject or accept the hypothesis that people who are overweight and do not look very fit are more exposed to occupational and psychological violence. However, the results did not show a significant relationship between BMI and being overweight with violence. In line with the results of this study, in a cross-sectional study conducted by Chadaga et al. to examine violence among graduates of the US medical education system, they found no statistically significant relationship between different BMI groups and the risk of violence [56].
The type of hospital ward as a place of service for nurses and paramedics is also an important factor. Occupational violence is more prevalent among nurses and paramedics working in the emergency, intensive care, and inpatient wards. Violence in the workplace can also contribute to burnout through psychological trauma and insecurity. These results suggest that job planning and the type of workplace can be considered key points in planning interventions to reduce occupational violence. In the mountain study et al., A significant relationship was found between the working part of the study participants and the amount of psychological violence they faced. Mental and physical violence was significantly higher than in emergency and psychiatric wards [54].
Among the strengths of the study are the simultaneous investigation of occupational violence, burnout, and job productivity, as well as the relationship between these factors and their relationship with the general health status of HCWs, the participation of a relatively considerable number of nurses, and paramedics in the study and noted burnout with their subscales.
According to OSHA guidelines for the prevention of violence in the workplace for health and social workers, hospitals must have a written plan to prevent violence in the workplace as part of their overall health and safety plan, which includes components such as management commitment and employee participation, workplace analysis, risk prevention and control, safety and health education, and record-keeping and program evaluation. It is essential to have a comprehensive medical and psychological counseling program and policies that ensure incident reporting, recording, and monitoring [57]. Kumari et al. presented that techniques to mitigate violent outbreaks could be helpful to healthcare specialists and administrators in their endeavors to create safer workplaces in the healthcare environments [58].
Educating all staff on violence prevention in the workplace is essential to ensure they are aware of potential hazards and protect themselves and their colleagues. These domains of training should include methods of de-escalation, behavior management and how to prevent an attack, training of crisis prevention interventions (CPI) on behaviors that can lead to crisis, effective response to behaviors that prevent aggravation of the situation, use of verbal and non-verbal techniques to prevent the spread of hostile behaviors and to cope with individual fears.
Considering the adverse effects of burnout on nurses’ job performance and quality of care, strategies for its prevention and management are needed. A key strategy in this area is establishing a valid and reliable measure of burnout screening among nurses. In addition, the possibility of managerial and organizational improvements can help prevent and manage burnout. Items such as attracting more nurses to reduce staff shortages and reduce the workload of nurses, allocating funds for timely payment of salaries, providing recreational facilities, in-service training programs on various aspects of the job, interpersonal communication and stress management, improving physician-nurse relationships, promoting nurses ‘job independence, defining the role of nurses’ professions, and promoting managerial and organizational support for HCWs can be effective in reducing burnout and increasing the productivity of nurses and paramedics as people at the forefront of medical settings.
One of the limitations of this study is the adoption of a retrospective self-reporting approach in data collection so that data can be associated with recall bias. In addition, the study may have underestimated the prevalence of violence in the workplace because it did not include sexual and racial violence. Also, due to time and economic constraints, we could not conduct interventional studies in this research, so it is suggested that researchers perform interventional and prospective cohort studies in the future and report the effectiveness of the measures taken.
Finally, the present study suggests further research to examine the hospital’s internal culture of WPV and its effects.
Conclusion
This study revealed that exposure to violence among nurses and paramedics is high. Exposure to such violence increases the risk of mental disorders among HCWs. Given the critical nature of clinical decisions made in treatment settings and the interactions between nurses, paramedics, and patients, the potential negative impact on staff mental health is significant. Therefore, interventions are needed to effectively manage violent incidents in the workplace to reduce the risk of mental illness in HCWs. Finally, more studies are required in order to improve the understanding of violence in the workplace and its harmful consequences in the health sector.
Footnotes
Acknowledgments
The authors would like to express their gratitude to Baqiyatallah University of Medical Sciences. They also appreciate the guidance and advice from the Clinical Research Development Unit of Baqiyatallah Hospital.
Conflict of interest
The authors declare that there is no conflict of interest.
Ethical approval
This article is the result of a research project of the first author in 2020 (ethics code IR.BMSU.REC.1398.407), implemented with financial support of Baqiyatallah University of Medical Sciences.
Funding
None to report.
Informed consent
Not applicable.
Author Contributions
MSY and MGH; Conceptualization, A.S, M.GH, E.A, and H.A.; Methodology, A.S, M.GH, E.A, and H.A.; Formal Analysis, A.S, M.GH and V.A.; Investigation, A.S, M.GH and V.A.; Data curation, A.S, M.GH and V.A.; Writing—Original Draft Preparation, A.S, M.GH and V.A.; Writing—Review & Editing, A.S and M.GH.; Supervision, A.S, M.GH, E.A, and H.A. All authors have read and agreed to the published version of the manuscript.
