Workplace violence (WPV) is a situation in which employees are harassed, intimidated, or assaulted at work or while commuting to and from work. Even though WPV can result in physical and psychological suffering, little evidence is available in Ethiopia. Hence, this study aimed to assess magnitude of workplace violence and its associated factors against nurses working in public hospitals of Western Ethiopia.
Methods
An institution based cross-sectional study was carried out among nurses working in five public hospitals found in east Wollega from September 15 to October 1, 2022. A simple random sampling technique was used to select 396 study participants. Self-administered adapted questionnaire and semi structured questionnaires were used to collect data. Data was coded and entered Epi data 3.1 and exported to SPSS version 20 analysis. Bi-variable and multivariable logistic regressions were done. Level of association was determined using adjusted odds ratio at 95% confidence interval and p-values of < 0.05.
Results
The prevalence of Workplace violence in the last 12 months was 42.8%. Age group 25–29 years [AOR:3.93, 95% CI = 1.2, 13.3) and 30–34 years [AOR:4.01, 95%CI = 1.4, 11.8], Married nurses [AOR:0.4, 95%CI = 0.2, 0.92], work experience = < 5 years [AOR:2.21, 95%CI = 1.27, 3.82] working between 6:30- 7:30 PM o’clock [AOR:3.49,95%CI = 1.4,8.62], availability of reporting system [AOR:2.58, 95%CI = 1.04, 6.4], Encouragement to report violence[AOR:3.98, 95%CI = 2.05, 7.72], substance use [AOR:3.56, 95%CI = 1.49, 8.46] and nurses ever stressed by job [AOR:3.66, 95%CI = 1.8, 7.34] were significantly associated with workplace violence.
Conclusion and recommendation
In the current study Workplace violence among nurses was high. Therefore, an intervention like developing reporting system, encouragement to report the violence and training that focuses on prevention and controlling of violence is recommended.
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Abkürzungen
ANA
American Nursing Association
AOR
Adjusted Odds Ratio
ICU
Intensive Care Unit
CMHS
College of Medicine and Health Sciences
COR
Crude odds ratio
OSHA
Occupational Safety and Health Administration
SPSS
Statistical Package of Social Sciences
WHO
World Health Organization
WP
Workplace violence
Background
The national institute for occupational safety and health administration (OSHA) defines WPV as a situation in which employees are harassed, intimidated, or assaulted at work or while commuting to and from work, causing physical and psychological suffering [1]. All health professionals in general and nurses in particular are vulnerable to any type of workplace violence as they are first-line care providers and have close contact both with the patient and attendants [2].Workplace violence not only affects the lives of those who are victims of violence, but it also affects the people around them and health care institutions indirectly through the decreasing quality of healthcare systems [3]. Although patients are the most common perpetrators of WPV against nurses, their family or attendants, coworkers, physicians, administrators, supervisors, and security guards are also common perpetrators of WPV against nurses [4].
Workplace violence among nurses and other health professionals perpetrated by patients or others in the health sector is becoming a problem in both developing and developed countries. WPV against nurses has the potential to change their attitudes toward nursing and lower their motivation, quality of care, psychological harm, deformity, or death. Furthermore, WPV can affect the organization through cost of manpower, absenteeism, and an increase in clinical and therapeutic errors [2, 5].
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Globally, workplace violence has a multifaceted impact. In the United States, WPV is the third major cause of death and the second most common cause of female death at the workplace [2, 6]. Study conducted in Canada shows that 32% of nurses were exposed to physical violence, 63% to verbal violence, 48% to bullying, and 18% to sexual harassment [7]. In the same vein, health care providers in Africa are also more at risk due to a poorly built health-care system, with the hazards escalating every year [8].
Evidence indicates a high magnitude of workplace violence (WPV) in Africa, with the highest rates observed in Egypt and South Africa. In Egypt, verbal abuse was reported at 78.1%, physical violence at 27.2%, and sexual abuse at 4.6%. In South Africa, verbal abuse accounts for 45%, physical violence for 20%, and sexual violence for 9.8% [9]. The magnitude of WPV is also notable in Addis Ababa (29.9%) and Harar (64.0%) [10, 11]. Various factors contribute to WPV, including the approach of care providers and patients or attendants, the relationship between caregiver and receiver, and institutional factors. WPV is associated with several determinants, including nurse-related factors (such as clinical competence, job stress, and reporting of violence), organizational factors (such as the level of the hospital, working department, and reporting procedures), and patient-related factors (such as unmet needs, substance use, and the nature of the disease) [12].
Evidence indicates that incidents of WPV against nurses occur most frequently in the emergency department (17%–97%) and the psychiatry department (8%–96%), followed by the intensive care unit (17%–92%) and surgical and medical units (20%–91%) [7]. Strategies to address WPV include pre-incident measures such as legislation and management interventions (e.g., education and training), as well as post-incident measures like incident reporting and zero-tolerance policies [13, 14]. Additionally, the Omega program is another preventive and management measure aimed at addressing violence against healthcare professionals [15, 16].
Despite the high prevalence and common occurrence of workplace violence (WPV) in the health sector, it often goes unreported and overlooked. It has received insufficient attention from both researchers and administrators, particularly in terms of prevention and management [8]. Moreover, previous studies conducted in Ethiopia have primarily focused on specific departments within hospitals, often overlooking the heterogeneity of these institutions [11, 17‐19]. Unlike these studies, the present research is not limited to specific hospital departments and encompasses various hospital levels. This approach aims to address the generalizability gap and provide insights into the causes and prevention mechanisms of workplace violence (WPV). Therefore, the objective of this study was to assess the magnitude of workplace violence and its associated factors affecting nurses working in public hospitals in Western Ethiopia.
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Methods
Study design, period, and area
An institution-based cross-sectional study was conducted from September 15 to October 1, 2022, at five public hospitals in the East Wollega Zone of Western Ethiopia. The capital of East Wollega Zone is Nekemte town, located 321 km from Addis Ababa in the western direction. There are five public hospitals in the zone: Namely, Arjo Primary Hospital (Nurse = 65), Nekemte Referral Hospital (Nurse = 147), Wollega University Teaching and Referral Hospital (Nurse = 158), Gida General Hospital (Nurse = 89), and Sibu Sire Primary Hospital (Nurse = 56). There are 515 nurses in those five public hospitals in the east Wollega zone. Additionally, there is one private hospital, and 64 health centers in the zone.
Study population and eligibility criteria
A total of 515 nurses were working in the public hospitals of East Wollega zone at the time of data collection. Nurses who had been working at the five public hospitals and available at their workplace during the study period were considered as the study population. Nurses who have served for more than six months were included in the study.
Sample size and sampling procedure
A single population proportion formula was used to determine the sample size.
Assuming a 95% confidence level, 5% margin of error and 43.1% of prevalence [20]. The required sample size was 396 nurses. This sample size was allocated proportionally.
Simple random sampling techniques were used to select participants and participants were asked about their workplace violence experiences of the last 12 months.
Data collection tool and procedure
Data were collected using a self-administered questionnaire which was adapted from the International Labor Office (ILO), World Health Organization (WHO), International Council of Nurses (ICN) and Public Services International (PSI) joint program on workplace violence in the health sector. The questionnaire comprised of three parts; socio-demographic, characteristics, workplace characteristics with 14 questions and workplace violence data include 21 questions. Three questions for each type of WPV (Physical, verbal and sexual) were asked. Five nurses who have experience in data collection were recruited.
Before data collection orientation was given to data collectors regarding study objectives, sampling, consent, data privacy, checking for data clarity and completeness by the principal investigator. Collected data were checked for completeness and consistency. Pretest was conducted on 5% of the entire sample size at Bako District Hospital to ensure the quality of the data. One day training was given for both data collectors and supervisor. The data collection process was supervised by the principal investigator.
Variables of the study
Dependent variable
Workplace violence is considered to have happened to staff nurses if any attempt at violence or actual violence related to their job happened, and this dependent variable is coded as 0 and 1 (1 for yes, which means workplace violence, and 0 for no workplace violence).
Independent variables
Socio-demographic characteristics of the participant (age, sex, religion, ethnicity, level of education, marital status, service year).
Organizational-related factors (presence of a reporting system, training, working setting or department, working shift).
Patient-related factors (unmet need, disease condition, lack of awareness, substance use, waiting time).
Operational definition
Workplace violence: Workplace violence (WPV) among nurses is defined as any experience of acts, threats, or attempts ranging from verbal violence to physical violence and sexual harassment related to their job within the past year [21].
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Physical abuse is regarded as being hit, pushed, beaten, kicked, slapped, stabbed, shot, bitten, and/or pinched in the workplace.
Verbal abuse is regarded as being shouted at, insulted, intimidated, embarrassed, blamed, or verbally disrespected in the workplace.
Sexual harassment is regarded as being stared at, whistled at, embraced, kissed, touched inappropriately, an unwanted request for sexual favours or dates, unwelcome verbal sex-based jokes or comments, being invited to date with the promise of promotion or other privileges, or being sexually attacked.
Substance use: Substance use is defined as the use of alcohol, khat, and/or tobacco by nurses or patients in public hospitals in the past 12 months.
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Data processing and analysis
After data collection, the data were coded and entered a computer using Epi Info 4.6 and exported to SPSS Version 26 for further analysis. Then, the mean and proportion were calculated. A binary logistic regression model was run to assess the association between the independent and dependent variables. For those whose P value was less than 0.25, a multivariable logistic regression model was carried out to control the effects of potential confounding factors. Multi-collinearity between independent variables was checked in linear regression by variance inflation factors (VIF). The odds ratio was calculated to determine the strength of association between independent and dependent variables, and a 95% confidence interval was utilized to guide the interpretation of the results. The model fitness for the variables was assessed by Hosmer and Lemeshow goodness of fit test statistics at P > 0.05, which shows the fitness of the model. A p-value of less than 0.05 was taken as a cutoff point to declare a statistically significant association between independent and dependent variables. Finally, the result was presented by using texts, tables, and graphs.
Results
Of all those (396), 383 nurses took part in the study and had a response rate of 96.7%.
The mean age of the participants was 31.5 (SD = 5.16), with the minimum and maximum ages of the respondents being 21 and 54 years, respectively. From the total respondents, 120 (31.3%) were between the 25–29 and 30–34 age groups. Of the total respondents, 220 (57.4%) were female. Regarding marital status, 267 (69.7%) of them were married. The predominant religion and ethnicity among the participants were protestant (285 (74.4%) and Oromo (340 (88.8%), respectively), and 353 (92.2%) participants were BSc holders. When we saw the work experience of the nurses, 215 (56.1%) had served for more than five years (Table 1).
Table 1
Socio-demographic characteristics of nurses working in public hospitals of East Wollega Zone, Oromia Region Ethiopia (n = 383)
Types of variable
Frequency
Percent (%)
Age of the respondent
20–24
39
10.2
25–29
120
31.3
30–34
120
31.3
35–39
74
19.3
> = 40
30
7.9
Sex
Male
163
42.6
Female
220
57.4
Marital status
Single
68
17.8
Married
267
69.7
Living with partner
34
8.9
Othersa
14
3.7
Religion
Protestant
285
74.4
Orthodox
71
18.5
Catholic
7
1.8
Muslim
20
5.2
Ethnicity
Oromo
340
88.8
Amara
41
10.7
Othersb
2
.6
Educational level
Diploma
16
4.2
Degree
353
92.2
Masters
14
3.7
Work experience
= < 5 Year
168
43.9
> 5 year
215
56.1
adivorced, widowed
bTigre, Gurage
Workplace related data of the study participants
Among the 383 participants, 334 (87.2%) of them work between 6:30 and 7:30 p.m. Of the total nurses, 330 (86.2%) reported that there is no workplace violence reporting system. Of the 53 nurses, only 18 (34.0%) knew how to use the reporting system. The result of encouragement to report the violence showed that out of 383 nurses, 86 (25.7%) of them were encouraged to report the violence. Of those 49, 57.0% of them were encouraged by colleagues. Regarding substance use by respondents, out of 383 nurses, 337 (88.0%) didn’t use substances, and out of 383 nurses, 307 (80.2%) were ever stressed by their jobs (Table 2).
Table 2
Workplace related data of nurses working in public hospitals of East Wollega Zone, Oromia Region Ethiopia (n = 383)
Types of variable
Frequency
Percent (%)
Work any time between (6:30-7:30 o'clock PM)
Yes
334
334
No
49
49
Availability of reporting systems
Yes
53
13.8
No
330
86.2
Know how to use the reporting system
Yes
8
15.1
No
45
84.9
Encouragement to report violence
Yes
86
22.5
No
297
77.5
Encouraged by
Manager
5
5.8
Colleagues
49
57.0
Own family/friend
32
37.2
Substance use
Yes
46
12.0
No
337
88.0
Ever stressed by job
Yes
307
80.2
No
76
19.8
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Magnitude of workplace violence among nurses
Of the 383 study participants, 164 (42.8%) with a 95% CI (37.8, 47.8) reported exposure to workplace violence in the last 12 months. Of those 164 nurses, 121 (73.8%) had experienced verbal abuse in the last 12 months (Fig. 1).
Fig. 1
Types of workplace violence among nurses working in public hospitals of East Wollega Zone Oromia Region Ethiopia, 2022
×
Perpetrators and mechanism of physical, verbal and sexual violence
Among the 121 verbal violence, 48 (39.7%) were committed by co-workers, and 107 (87.7%) were committed directly face-to-face. Of the total 30 acts of physical violence, 13 (41.9%) were perpetrated by the patient's relatives. Among the total 13 acts of sexual violence, 7 (53.8%) were committed by co-workers, and 6 (46.2%) were committed directly face-to-face (Table 3).
Table 3
Perpetrators and mechanism of physical, verbal and sexual violence workplace violence against nurses working in public hospitals of East Wollega Zone Oromia Region Ethiopia
Types of variables
Frequency
Percent (%)
Physical violence
Yes
30
18.2
No
134
81.8
By whom you faced physical violence?
By patient
10
33.3
By patients’ relatives/ attendants
13
43.4
Co-workers
7
23.3
Verbal violence
Yes
121
73.8
No
43
26.2
By whom you faced verbal violence?
By patient
30
24.8
By patients’ relatives/ attendants
43
35.5
Co-workers
48
39.7
Method of verbal violence
Face to face
107
88.4
Phone call
10
8.3
Text message
4
3.3
Sexual violence
Yes
13
7.9
No
151
92.1
By whom you faced sexual violence?
By patient
2
15.4
By patients’ relatives/ attendants
4
30.8
Co-workers
7
53.8
Method of sexual violence
Face to face
6
46.2
Phone call
1
7.7
Text message
1
7.7
Social media
5
38.5
Time of violence occurrence
Day
35
21.3
Night
78
47.6
Between( 6:30–7:30 PM o’clock)
51
31.1
Setting/department where workplace violence happened
Among the total 164 (42.8%) acts of violence, most of them (78,47.3%) were committed at night, and the majority (51,29.3%) were committed at the emergency unit (Fig. 2).
Fig. 2
Setting for workplace violence among nurses working in public hospitals of East Wollega Zone Oromia Region Ethiopia, 2022
×
Reason for workplace violence among nurses
Regarding the reason for the violence among nurses, 65(39.0%) was due to unmet need of the patient (Fig. 3).
Fig. 3
Reasons of work place violence among nurses working in public hospitals of East Wollega Zone Oromia Region Ethiopia, 2022
×
Actions taken against workplace violence among nurses
Among the total 164(42.8%) workplace violence in the last 12 months; only 25 (15.2%) of them reported the violence. Of the 25 majority 11(44.0%) of the nurses reported violence to their supervisor and colleagues. Among the non-reported139 violence the main reason for not reporting workplace violence 109(74.8%) were due to the absence of violence reporting system. Of the 25 reported violence only 8(32.0%) were investigated. The result for the investigation showed that only 3(37.5%) verbal warnings were issued to the perpetrators. Regarding the satisfaction of the study participants with the consequences of the investigation 6(75.0%) of them were not satisfied with it. Out of the 164 nurses who encountered workplace violence, 157 (95.7%) stated that their employer did not develop any specific policies or guidelines to deal with violence (Table 4).
Table 4
Actions taken against workplace violence among nurses working in public hospitals of East Wollega Zone Oromia Region Ethiopia
Types of variables
Frequency
Percent (%)
Have you reported the violence?
Yes
25
15.2
No
139
84.8
To whom you reported the violence?
My Supervisor
11
44.0
Colleagues
11
44.0
Family
3
12.0
If did not report incident to others, why not?
No reporting system and guideline
104
74.8
Felt ashamed
29
20.9
Afraid of negative consequences
6
4.3
Was the incident ever investigated?
Yes
8
32.0
No
17
68.8
What were the consequences for the abuser?
None
5
62.5
Verbal warning issued
3
37.5
Are you satisfied with the manner in which the incident was handled?
Yes
2
25.0
No
6
75.0
Have your employer developed specific policies or any guide line to deal with violence?
Yes
7
4.3
No
157
95.7
Factors associated with workplace violence
Binary logistic regression was performed to assess the association between independent variables and workplace violence. Variables with a p-value of 0.2 or less in bi-variable analysis were considered candidates for multivariable regression analysis. Variables like age, sex, marital status, work experience, working between 6:30 and 7:30 o’clock, availability of reporting guidelines, encouragement to report, substance use, and job stress became statistically significant during bivariable analysis.
In the multivariable analysis, age group between 25–29 and 30–34, marital status, work experience, working between 6:30 and 7:30 p.m., availability of reporting guidelines, encouragement to report, substance use, and job stress had a statistically significant association with workplace violence with a P-value of < 0.05 (Table 5).
Table 5
Multivariable analysis for workplace violence among nurses working the public hospitals of East Wollega, West Ethiopia, 2022
Variables
Categories
Work place
Violence
COR (95% CI)
AOR (95% C.I.)
P-Value
Yes
No
Age
20–24
25
14
1
1
25–29
69
51
5.87(2, 17.1)
3.93(1.16,13.32)*
0.028
30–34
39
81
4.45(1.8,11.2)
4.01(1.37,11.75)*
0.011
35–39
24
50
1.58(0.6, 4.0)
1.53(.54, 4.35)
0.425
> = 40
7
23
1.58(0.59, 4.2)
1.97(.64, 6.04)
0.234
Sex
Male
58
102
1
1
Female
106
114
1.68(1.11, 2.55
1.28(0.74, 2.21)
0.385
Marital status
Single
42
23
1
1
Married
86
170
0.28(0.16, 0.49)
0.43(.19, 0.92)*
0.029
Others
36
26
0.76(0.37,1.55)
0.43(.17, 1.06)
0.066
Work experience
= < 5 year/s
101
67
3.64(2.37,5.57)
2.21(1.27, 3.82)*
0.005
> 5 years
63
152
1
1
Working between 6:30–7:30 PM
Yes
154
180
3.34(1.6, 6.9)
3.49(1.4, 8.62)*
.007
No
10
39
1
1
Availability of reporting system
Yes
9
44
1
1
No
155
175
4.33(2.05,9.16)
2.58(1.04, 6.4)*
0.042
Encouragementto report violence
Yes
22
64
1
1
No
142
108
3.79(2.2, 6.55)
3.98(2.05, 7.72)**
.000
Substanceuse by nurses
Yes
29
17
2.55(1.35,4.83)
3.56(1.49, 8.46)*
.004
No
135
202
1
1
Ever stressedby Job
Yes
142
165
2.1(1.23, 3.64)
3.66(1.8, 7.34)**
.000
No
22
54
1
1
*p-value < 0.05
**P-value < 0.001
The odds of workplace violence were almost four times (AOR = 3.93, 95% CI: 1.16, 13.32) higher among the age groups between 25–29 and 30–34 (AOR = 4.01, 95% CI: 1.37, 11.75). Regarding the marital status of the nurses’, married nurses were 57% less likely (AOR = 0.43, 95%CI = 0.19, 0.92) to experience workplace violence as compared to these single nurses. The study participants who had less or equal to five years of experience were about two times (AOR = 2.21, 95%CI = 1.27, 3.82) more likely to be exposed to violence as compared to those nurses who had greater than five years of experience. And nurses who had work between 6:30 PM-7:30 PM were three times (AOR = 3.49, 95% CI 1.4, 8.62) more likely to experience workplace violence as compared to those nurses who didn’t work between.
Nurses who reported "unavailability of reporting procedures were three times (AOR = 2.58, 95% CI: 1.04, 6.4) more likely to be exposed to WPV than those who reported the presence of reporting procedures. Nurses who weren’t encouraged to report workplace violence were four times (AOR = 3.98, 95% CI = 2.05, 7.72) more likely than those who were encouraged to report violence. Participants who use substances were four times (AOR = 3.56, 95% CI 1.49, 8.46) more likely to experience violence than those who didn’t use them. Nurses who reported ever being stressed by job stress were four times (AOR = 3.66, 95% CI, 1.8, 7.34) more likely to be exposed to WPV than those who did not (Table 5).
Discussion
Workplace violence among nurses gained little attention, regardless of recognizing its consequences for the quality of health care. The results of the study revealed that the proportion of workplace violence among nurses was about 42.8%, with a 95% CI. This result signifies a significant public health concern. In terms of public health designations and policy implications, such a high prevalence indicates the need for urgent attention and robust interventions. The need for a multi-faceted approach involving policy development, comprehensive prevention strategies, and a public health framework to effectively address this issue to create safer and healthier work environments for all employees and improve the quality of health service delivery. This finding is nearly like that of the studies conducted in Gamo Gofa, 43.1% [19]. However, this finding is much higher than the study findings from Japan, 18.5% [22]. This variation could be attributed to different socio-cultural, demographic, and organizational policies or strategies. Since the study in Japan includes registered nurses, home care nurses, and those with additional qualifications. In contrast, our study focuses solely on unregistered nurses and those working in hospital settings.
And due to the socio-economic level difference between the wealthy and developing countries,
The result of this study is lower than the study findings from Kenya (77.8%) [23]. Likewise, the possible explanation for the gap might be due to the working setting, department, and level of the hospital in which the latter is conducted at a tertiary hospital among emergency nurses only. Similarly, the findings of this study are much lower than those of the study in Egypt, where the prevalence of WPV was 86.1% [9]. This difference might be due to the Egyptian survey over the past six months. This might result in higher prevalence due to a lower recall bias. Our finding is also lower than the study finding from South Africa by 100% [9]. The reason might be due to a different study design, as their study design was pure qualitative.
The result of this study is lower than the study conducted in Harar, 64.0% [11]. This gap might be due to the use of khat for entertainment, for more serious businesses like religion and work, and they accepted it as an integral part of their culture in the study area. In addition, the result of this study is higher than the study done in the Amhara region (26.7%). The gap might be due to the number and level of hospitals at which the study was conducted, since the Amhara region study was conducted only at three referral hospitals and our study was at five public hospitals [17].
The high prevalence of verbal violence (73.8%) in our study is consistent with the results of studies from Iran, which are 74% (30). In contrast, our finding is higher than the study findings of Jordan (67.8%) [12], Nigeria (60.7%) [24] and Amhara Regional State (39.8%) [17]. The reason for the difference between this finding and Jordan might be because of the difference between developed and developing countries towards human rights assertiveness and the recording of violence. Additionally, the Jordan study was conducted in three private hospitals only among nurses who care for older people. On the other hand, the possible explanations for the gap between our findings and those of Nigeria might be due to the homogeneity of the hospital since the Nigerian study was conducted at a general hospital only among registered nurses and the Amhara regional state study was done at the same hospital level. Regarding the prevalence of physical violence, our study findings revealed that it accounts for 18.2%, which is similar to the findings from Hawassa (18.22%) [18] and Gambia (17.4%) [25]. On the other hand, our finding of physical violence is much lower than the finding reported by nurses working in psychiatric hospitals in China, which is 57.9% [26]. And also, lower than the study done at Addis Ababa Amanuel Mental Specialized Hospital (36.8%) [10]. The possible explanation for the difference between these study findings and those of those two countries might be due to the study setting, which can cause a great prevalence of physical violence due to the patients’ disease processes, since the study was conducted among nurses working in the psychiatry unit in which mentally ill patients are treated.
In this study, factors significantly associated with workplace violence were age group between 25–29 and 30–34, marital status, work experience, working between 6:30 and 7:30 o’clock, availability of reporting guidelines, encouragement to report, substance use, and job stress.
The findings of this study revealed that workplace violence was significantly influenced by the age of the respondents. The age category between 25–29 and 30–34 (31.3%) was four times more likely to experience workplace violence than other age categories. This finding is inconsistent with the study findings conducted at Hawassa [18]. The possible explanation for the age group of 25–29 might be due to less work experience, whereas age categories ranging between 30 and 34 were the dominant age group of nurses in the context of our study.
The present study showed that married nurses (69.7%) were less likely to experience workplace violence as compared to single nurses. This finding is inconsistent with a study conducted in Gamo Gofa, where single nurses were more likely to suffer from workplace violence [19]. This inconsistence might be because the number of married nurses is greater than that of single nurses.
The findings of this study showed that nurses who had less or equal to five years’ experience were about 2.2 times more likely to suffer from workplace violence as compared to those nurses who had greater than five years’ experience. This finding is supported by a study in Congo [9]. This could be accounted for by the fact that nurses with less work experience might have less clinical skills and fewer prevention methods for workplace violence. This finding revealed that nurses who work between 6:30 pm-7:30 pm were 3.4 times more likely to suffer from workplace violence as compared to those nurses who didn’t work between. This finding is inversely related to the Pokhara [27]. In our context, this difference might be attributable to the number of nurses and patients present between 6:30 pm—7:30 pm and the disease nature of the patient at this time.
The likelihood of workplace violence was four times higher among nurses who weren’t encouraged to report workplace violence than those who were encouraged to do so. The findings are consistent with those of studies in Indonesia. The possible explanation for this could be that encouragement might be absent because of the absence of a reporting system, or it might be due to the absence of proper measures taken towards reported violence [20]. The results of this study showed that nurses who use substances were four times more likely to experience violence than those who didn’t use them. The finding is consistent with the research the research conducted in Gamo Gofa Zone, where those nurses who use substances are more likely to suffer from workplace violence in public health facilities [19]. The justification for this might be the fact that those nurses who use substances remark themselves as being at risk for violence due to the nature of the substance they use.
This study also revealed that the odds of workplace violence were 3.66 times higher among nurses who reported job stress to suffer from WPV than who did not. This finding was in line with studies done in Jordan [12]. The possible explanation for this could be that nurses might take this job stress as part of their job, the managers might not be aware of nurses’ job stress, and there might be a few nurses present at the same time.
The findings of this study revealed that workplace violence was significantly influenced by the absence of reporting guidelines. Nurses who reported "the availability of reporting procedures were two times (AOR = 2.58, 95% CI: 1.04, 6.4) more likely to be exposed to WPV than those who reported the presence of reporting procedures. This finding agrees with a study conducted in Nigeria [28]. In the same way, the finding is supported by a study done in Harar, which stated that the availability of reporting procedures was the main reason for WPV [11].
Acknowledgements
The authors would like to thank the data collectors and the study participants for their collaborations throughout the study period.
Declarations
Ethics approval and consent to participate
Ethical clearance was first obtained from Ambo University CMHS’s ethical review board with Reference No. AU/PGC/432/2014. The letter was written by the Zonal Health Office to obtain ethical approval to conduct the study in the selected hospitals. Then the ethical clearance and support letter were taken to the hospitals. Written informed consent was obtained from the from the study subject before data collection, after approval by the ethical review board. All participants were asked for their willingness to participate in the study and were told that it would not pose any risk to them. Confidentiality was assured, and the privacy of the respondents was maintained by using unique identifiers for study participants and limiting access to the third party by storing the completed questionnaires and all documents with participant information in a lockable cabinet. All procedures were followed by relevant guidelines and regulations, as stated in the Declaration of Helsinki.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
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