Özgür Önal,1 Fatma Y. Evcil,1Kıymet Batmaz,1 Betül Çoban1 and Edanur Doğan1
1Suleyman Demirel Universitesi, Tip Fakultesi [Faculty of Medicine, Suleyman Demirel University], Isparta, Türkiye (Correspondence to Fatma Y. Evcil:
Abstract
Background: Workplace violence is a serious public health problem threatening health care workers worldwide.
Aim: We aimed to determine the prevalence of physical and verbal violence over the previous year and during the career of health workers in countries of the WHO Eastern Mediterranean Region and Türkiye.
Methods: The databases MEDLINE (via PubMed), Cochrane Library, Scopus, Science Direct, Web of Science and ProQuest were explored along with reference lists from selected articles. Inclusion criteria were: studies carried out in the WHO Eastern Mediterranean Region or Türkiye, staff working in hospitals and primary health care services, studies on health workers exposed to verbal and/or physical violence by patients/relatives. We initially identified 3513 articles. After further review, 75 studies conducted during 1999–2021 were eligible. These were analysed using MetaXL, version 5.3, and STATA, version 16.
Results: The study covered 69 024 health care professionals from 22 countries. Meta-analysis showed that 63.0% (95% CI: 46.7–79.2) of health care professionals had experienced verbal violence and 17.0% (95.0% CI: 14.0–21.0) physical violence. There was no difference for sample size, professional group, quality score or response rate. The frequency of physical and verbal violence in the subgroup analysis was statistically significantly different for country and year.
Conclusion: A variety of questionnaires and time intervals had been used, making it difficult to calculate a standard severity prevalence and compare subgroups. Examining the temporal trend of workplace violence by country and determining how country-specific social factors and policies affect it would be valuable in future studies.
Keywords: verbal violence, physical violence, health care workers, Eastern Mediterranean Region, systematic review, meta-analysis
Citation: Önal Ö, Evcil FY, Batmaz K, Çoban B, Doğan E. Verbal and physical violence against health care workers in the Eastern Mediterranean Region: a systematic review. East Mediterr Health J. 2023;29():xxx–xxx. https://doi.org/10.26719/emhj.XXXX Received: 23/12/22, accepted: 03/03/23
Copyright © Authors 2023; Licensee: World Health Organization. EMHJ is an open access journal. This paper is available under the Creative Commons Attribution Non-Commercial ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo).
Introduction
Workplace violence is a serious public health problem that threatens health care workers worldwide. Health care workers are an occupational group at high risk of workplace violence (1). The World Health Organization (WHO) has reported that at least 3 out of every 5 health care workers had been exposed to violence over the previous year (2,3). Violence negatively affects the health of all employees working in health institutions, from cleaning staff to doctors. Workplace violence is defined as threats, abuse and attacks that occur in work-related conditions and may affect the health of employees (4). All kinds of behaviours, from threats and insults to murder, are considered within the scope of workplace violence (5).
Violence in the workplace is examined under 2 main headings: physical and psychological. Physical violence is defined as the use of physical force that causes physical, psychological or sexual problems in the exposed person. Many situations, such as pushing, kicking, hitting, slapping and injuring with an object, can be given as examples (4). According to WHO, health workers are exposed to physical violence at rates ranging from 8% to 38% throughout their careers (1). It has been reported that 24.4% of health care workers have been exposed to physical violence in the previous year (3).
Psychological violence is any behaviour that causes the individual to be negatively affected psychologically (4). Verbal violence, such as insulting, shouting, threatening, swearing, etc., is the most common subdimension of psychological violence (6–9). According to WHO, health care workers are exposed to verbal violence at a much higher rate than physical violence (2). A recent meta-analysis in China found that 61.2% of health care workers were exposed to verbal violence in the last year (10).
Violence has a negative mental, physical and social impact. Violence against health care workers is known to cause a number of health issues, including psychological harm, injuries and death. Decreased job satisfaction and staff quitting their positions are also among the consequences (11). Therefore, violence in the health sector is a significant issue that has a direct impact on the health of employees and an indirect impact on the health of patients.
Determining the frequency of the violence that health care workers are exposed to is important for protecting the health of both employees and society. Studies have been conducted on the prevalence of violence among health care workers in different regions, however, we did not find any systematic review or meta-analysis that reported the frequency of violence (physical or verbal) among health care workers in the Eastern Mediterranean Region which compared different subgroups (country, occupation, time interval, sample size, study year, quality score, response rate). One meta-analysis conducted worldwide on this subject examined a specific subgroup and the prevalence of physical violence experienced in the previous year only (12). Detailed examination of health violence in the Eastern Mediterranean Region, as in our study, will reveal the regional dimensions of the problem.
In this study, we aimed to determine the prevalence of physical and verbal violence experienced by health care workers during one year and throughout their careers in countries with sociocultural similarities in the Eastern Mediterranean Region.
Methods
Study design
This study was conducted in accordance with the Preferred Reporting Elements for Systematic Reviews and Meta-analyses (PRISMA) (13) and was registered in the International Prospective Systematic Review Registry (PROSPERO) under the code CRD42022314256.
This meta-analysis was conducted following the checklist of the Meta-Analysis of Observational Studies in Epidemiology guidelines for the design. The specified guideline includes recommendations on reporting background, search strategy, methods, results, discussion and conclusions (14).
Search strategy
We searched 6 academic databases, MEDLINE (via PubMed), Cochrane Library, Scopus, Science Direct, Web of Science and ProQuest, with words arranged in accordance with MeSH terms. Search strategies for each database are shown in Table 1. The following search terms were used “physical violence”, “verbal violence”, “workplace violence”, “nurse”, ”doctor”, “health care professional”, “prevalence” and “incidence”.
Study selection and selection criteria
We carried out the research and selection of the studies in line with previously defined inclusion criteria. Studies were included if they met the following criteria: conducted in the countries of the WHO Eastern Mediterranean Region and Türkiye due to their sociocultural proximity; participants working in hospitals and primary health care services; and studies conducted on health workers exposed to verbal and/or physical violence by patients and their relatives. Only observational studies reporting prevalence of violence were included in the systematic review and meta-analysis. Only studies whose language of publication was English were selected.
Studies were excluded if they met the following criteria: randomized controlled trials and systematic reviews; studies whose main research topic was mobbing and burnout; studies in which the cause of violence was conflict and chaos in the country; and studies dealing with only sexual violence in health care professionals.
All the data detected in the literature search were transferred to Excel, and duplicates were removed. Scanning of titles and abstracts for these studies was done by referees (ÖÖ, FYE). Unclear titles/summaries were scanned by another reviewer (KB, BÇ, ED) and discussed by the reviewers until approval for inclusion or exclusion was obtained. All reviewers independently scanned full-text articles using a standardized search tool according to eligibility criteria such as country of study, study design, type of publication and sample studied. Studies meeting all criteria were included in the review. When contradictory conclusions were reached about inclusion or exclusion, these were resolved by discussion.
We used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) for the systematic review and selection of studies to be included in the meta-analysis.
Quality assessment
Loney criteria (8 items) were used for the quality scoring of the studies evaluated in this review (15). The criteria were: sampling method (random sample or whole population), sampling frame (defining the study population), sample size (< 355 or ≥ 355), questioning the violent event (using standard measurement form/other), unbiased measurement, response rate (< 70% or ≥ 70%), confidence intervals (CIs) and subgroup details and study subject. The total score was calculated by giving a score to the studies for each item; the overall scores ranged from zero (0) to 8 points, with higher scores indicating higher quality.
Statistical analysis
Data were analysed using MetaXL, version 5.3, and STATA, version 16. Small-study effects and publication bias were examined using the Luis Furuya-Kanamori (LFK) index, the Doi plot and the funnel plot (16). The Doi plot has been reported to be more intuitive and the LFK index more robust than the traditionally used Egger’s regression-intercept test (17). An LFK index value > 1 or 2 or < 2 indicate major asymmetry. For optimal interpretation, at least 5 studies are required, therefore only the LFK index and Doi plots relating to the prevalence of physical and verbal violence in the last year and during the career period were prepared for the subgroups. The LFK index was calculated by applying double arcsin, logit, and no transformation to the prevalence data, and the value with the least asymmetry was used in the analysis. Graphics and tables related to this subject are available from the authors on request.
Both the Cochran Q test and the I2 statistics were used to test the heterogeneity of the data (18). Significant heterogeneity between studies was assumed to be P 50% (19). If significant heterogeneity was observed between studies, a random effects model was adopted to calculate the prevalence of physical and verbal violence; otherwise, a fixed effects model was adopted. The same procedure was followed to generate meta-analytically derived national estimates of the prevalence of workplace violence (physical and verbal) based only on studies available from each country. Meta-analytical estimates could not be calculated for countries with < 2 studies (20). Prevalence estimates for the countries where the studies were conducted (Bahrain, Egypt, Islamic Republic of Iran, Iraq, Jordan, Kuwait, Lebanon, Morocco, Pakistan, Palestine, Saudi Arabia, Syrian Arab Republic, Türkiye), the year of study (2010 and before vs 2011 and later) and sample size (< 355 and ≥ 355) were analysed by subdividing the professional group (physicians only, nurses only, all health care workers), quality score (< 6 vs ≥ 6) and response rate (< 70% and ≥ 70%). Statistical significance was set at P < 0.05.
Results
Study selection and study characteristics
For the systematic review and meta-analysis, a keywords search was carried out on the 6 academic databases, and 3513 articles were identified (Figure 1). After removing duplicates, 2675 articles were scanned for titles and abstracts. The remaining 274 full texts were reviewed, and we included 75 studies that met the eligibility criteria.
The selected studies were examined under 2 separate headings according to the type of violence, physical and verbal. Prevalence of violence was evaluated in 2 groups according to the time interval as “last year of the study (last year, last 6 months, last 2 months)” and “during career”. From the meta-analysis, 69 (92.0%) studies covered the prevalence of physical violence, 18 (24.0%) covered the frequency of physical violence encountered throughout the career, and 51 (68.0%) covered the frequency of physical violence encountered in the last year. Also from the meta-analysis, 71 (94.7%) studies included the prevalence of verbal violence, 17 (22.7%) the frequency of verbal violence encountered throughout the career, and 54 (72.0%) the frequency of verbal violence in the last year.
The studies included in the systematic review and meta-analysis were conducted between 1999 and 2021. Although violence was examined through the questionnaires in these studies, there was no standard measurement tool used in all of the studies. While the scale developed by WHO/ILO was used in 22 (29.4%) studies, other scales were used in 6 (8.0%) studies. In 47 (62.7%) studies, the questions were created by the researchers, i.e. they did not use any standard scales. The total number of health care workers examined in all studies was 69 024. Among the studies examining physical violence, 50 (66.7%) were from 2011 and later. Data from a total of 61 241 health care workers were assessed in studies on the frequency of physical violence. Fifty (66.7%) studies evaluating the prevalence of verbal violence were conducted in 2011 and later. The total number of health care workers covered in the studies examining verbal violence was 62 261. The countries that had the greatest number of studies on both physical and verbal violence were Türkiye and Saudi Arabia.
The mean quality score (Loney score) for the 75 studies reviewed was 5.2, with 34 (45.4%) scoring ≥ 6 (Table 2). Of the studies reporting the frequency of physical violence, 12 (16.0%) were conducted on physicians only and 23 (30.7%) on nurses only. Ammong those studies reporting the prevalence of verbal violence, 10 (13.4%) included only physicians and 27 (36.0%) included only nurses. An equal number of studies evaluated more than one occupational group for both physical and verbal violence. Since the frequency of verbal violence was examined in many categories in the one (1.4%) study included, and the participants could choose more than one proposition, the net frequency of this type of violence could not be calculated, and only the frequency of physical violence was included in the meta-analysis for that study (21).
For the calculation of the frequency of verbal violence in another study, the category sexual violence, which had been included with non-physical violence, was not included in the frequency of verbal violence (22), which we calculated as 57.9% for that study.
Publication bias was checked using a funnel plot. In the funnel plot analysis, although the prevalence of physical and verbal violence was symmetrical in the studies included in the meta-analysis, mean differences were widely spread. This may have occurred due to variations in sociodemographic characteristics. It was observed that the studies concentrated on a low level of standard errors, an indication that the sample size in most studies was satisfactory.
All studies included in the systematic review, along with their characteristics and the number of violent incidents, are presented in Table 3. The prevalence values obtained from the studies were transformed in accordance with the LFK index scores: transformation with the lowest LFK index was applied. The transformations applied in this framework are detailed in Table 4.
Prevalence of physical violence against health care workers
We analysed 18 studies to determine the prevalence of physical violence encountered by health care workers in the Eastern Mediterranean Region throughout their careers, in the last year, in the previous 6 months, and in the last 2 months (Figure 2). The estimated frequency was 23.4% (95% CI: 16.1–32.0) (Table 5). There was significant heterogeneity among the studies reviewed (Q = 1224.4, P < 0.001, I2 = 99%). The prevalence of physical violence in the last year was calculated at 19.0% (95% CI: 15.4–22.6) by pooling the data reported from 51 studies showing high heterogeneity (Q = 4024.39, P < 0.001, I2 = 99%).
Studies reporting the frequency of physical violence encountered throughout the career were conducted in the Islamic Republic of Iran, Iraq, Jordan, Morocco, Saudi Arabia and Türkiye. Prevalence varied between 8.0% (95% CI: 0.5–15.5) and 39.5% (95% CI: 0.1–97.3) by country, with a statistically significant difference between countries for the prevalence of physical violence (P < 0.027) (Table 5). The prevalence of physical violence in the last year was reported in more studies, and the estimates ranged from 10.6% (95% CI: 2.2–19.1) to 42.2% (95% CI: 33.3–51.1). The frequency of being exposed to physical violence in the last year also differed significantly between countries (P < 0.001).
When the studies were analysed according to the occupation of the health care professionals, the highest frequency of physical violence throughout the career was reported in studies involving only physicians (31.0%; 95% CI: 9.5–52.5). For studies reporting physical violence during the previous year, the highest prevalence (23.4%, 95% CI: 17.0–29.9) was reported in those that included only nurses. There was no statistically significant difference between the frequency of physical violence according to the occupational group for both time intervals investigated (during career, P = 0.412; for the last year, P = 0.147).
For studies examining the frequency of physical violence throughout the career, the prevalence calculated for those conducted in 2011 and later (29.7%; 95% CI: 17.9–41.4) was statistically significantly higher than that for studies conducted over the previous years (15.6%; 95% CI: 10.3–21.0) (P = 0.033). In studies examining the frequency of physical violence during the previous year, there was no significant difference in prevalence between studies conducted in in these 2 periods (P = 0.564).
Studies included in the meta-analysis were further divided into subgroups based on sample size (< 355 and ≥ 355), response rate (< 70% and ≥ 70%) and quality score ( 0.05).
Prevalence of verbal violence against health care workers
We analysed 71 studies to determine the prevalence of verbal violence. Data from 17 studies reporting the frequency of exposure to verbal violence during the professional career were pooled and the frequency of verbal violence was estimated at 73.7% (95% CI: 67.8–80.4) (Table 5). The frequency of exposure to verbal violence in the last year was calculated at 59.9% (95% CI: 54.7–65.1) (data from 54 studies). Heterogeneity was found between studies examined for both time intervals (during career Q = 784.76, P < 0.001, I2 = 98%; Q = 10 150.03, P < 0.001, I2 = 99%). The prevalence of verbal violence encountered during the career, in the last year, last 6 months, and last 2 months, and heterogeneity between studies are shown in Figure 3.
When analysed by country of study, the frequency of verbal violence throughout the career ranged from 63.0% (95% CI 46.7–79.2) to 87.0% (95% CI 82.0–92.0) (Table 5). Data obtained from studies conducted in the Islamic Republic of Iran, Iraq, Jordan, Saudi Arabia and Türkiye showed a statistically significant difference (P < 0.001). The frequency reported from studies examining verbal violence over the last year ranged from 45.0% (95% CI 30.7–59.4) to 85.0% (95% CI 83.0–87.0) by country (Table 5). The highest prevalence, 85.0%, was reported from the Syrian Arab Republic, followed by the Islamic Republic of Iran, 80.7%, and Bahrain, 78.0%. There was also a significant difference between the countries included in the meta-analysis for prevalence of verbal violence in the last year (P < 0.001).
Studies that included only physicians reported the highest frequency of verbal violence throughout the career, with a prevalence of 77.0% (95% CI: 67.1–86.8) (Table 5). The frequency of verbal violence reported in the last year was highest in studies that included only nurses (65.5%; 95% CI: 56.9–74.1). However, there was no significant difference between the frequency of verbal violence according to occupational group for both time intervals (during career, P = 0.799; for the last year (P = 0.099).
The frequency of encountering verbal violence throughout the career was higher in studies conducted diring or after 2011. However, the difference was not statistically significant (P = 0.201) (Table 5). For studies conducted in 2010 and before reporting on encountering verbal violence during the last year, the frequency (67.9%; 95% CI: 58.3–77.4) was statistically significantly higher than in studies conducted in 2011 and after (55.9%; 95% CI: 50.1–61.7) (P = 0.035) (Table 5).
Studies included in the meta-analysis were divided into subgroups based on sample size (< 355 and ≥ 355), response rate (< 70% and ≥ 70%) and quality score ( 0.05).
Supplementary materials, including Doi plots and funnel plots, are available from the authors on request.
Discussion
In this study, we pooled the prevalence estimates of physical and verbal violence in the workplace against health professionals reported in 75 studies published from 1999 to 2021. A total of 69 024 health care professionals from 22 countries in the WHO Eastern Mediterranean Region and Türkiye having similar sociocultural characteristics were included in the study. Our meta-analysis revealed that 63.0% (95.0% CI: 58.0–68.0) of health care workers in the Eastern Mediterranean Region experienced verbal violence and 17.0% (95.0% CI: 14.0–21.0) were exposed to physical violence. During their career, 3 out of every 5 health professionals had been exposed to verbal violence and 1 out of 5 had been subjected to physical violence.
This study provides the first quantitative estimate of the prevalence of physical and verbal violence perpetrated against health professionals in the countries of the WHO Eastern Mediterranean Region. The prevalence estimates presented are based on a pool of 75 studies on health care professionals at all levels of care and various types of profession conducted in many countries in the Region.
Although studies from all countries in the Region were eligible for inclusion, there were none on the prevalence of physical and verbal violence from 10 countries, Afghanistan, Djibouti, Libya, Oman, Qatar, Somalia, Sudan, Tunisia, United Arab Emirates and Yemen. In addition, more than half of the eligible studies were reported from Türkiye (20 studies), Saudi Arabia (12 studies) and the Islamic Republic of Iran (11 studies). It is clear that more studies are needed from the low- and middle-income countries of the Region.
We determined the frequency of physical violence to be 23.4% throughout the career and 19.0% during the last year. Some reviews we examined focused on the prevalence of physical violence in the workplace for health professionals; a wide range of frequencies (2% to 32%) was reported (3,23,24). Li et al., who presented the prevalence estimates of physical violence in all WHO regions and the world in 2018, determined the prevalence of physical violence in the last year in the Eastern Mediterranean Region at 17.1% (12). Corresponding results for other WHO regions were: Africa 20.7%; America 23.6%; Europe 26.4%; Western Pacific 14.5%; Southeast Asia 5.6%; and worldwide 19.3%. Our estimation for the Eastern Mediterranean Region was similar to the world value and higher than some regions (Western Pacific and Southeast Asia) reported by Li et al.
We found the frequency of verbal violence against health care providers was 73.7% during the career and 59.9% for the last year. Previous meta-analyses have reported the frequency of verbal violence from different regions or the frequency of verbal violence experienced by a specific health care profession group in the Eastern Mediterranean Region (25,26). In a 2019 meta-analysis, which included studies from 5 regions of the world, the frequency of exposure to non-physical violence in the last year was 42.5%. The highest frequency was reported from North America (58.7%), followed by Asia (45.5%) and Australia (38.7%). In the same study, the most common subtypes of non-physical violence were 57.6% for verbal abuse and 33.2% for threats (3). In an umbrella review and meta-analysis examining violence against health care professionals, the prevalence of verbal violence was 66.8% (27). In a meta-analysis encompassing studies in China, the frequency of verbal abuse was 61.2% and the frequency of threat 39.4% (10). In all the meta-analyses cited above, the frequency of verbal violence was freater than that of physical violence (3,10,27), similar to our own findings.
In the subgroup analysis, we found no statistically significant relationship between the prevalence estimates for physical and verbal violence that health professionals were exposed to during the career and in the last year or less and sample size, response rate, quality score or professional group. The meta-analysis by Li et al. reported that the prevalence estimates were significantly higher in studies with a sample size ≤ 500, a quality score < 5 or a low response rate (12). However, it has also been found that studies with fewer participants may be associated with higher prevalence estimates that could be attributed to selection bias and publication bias (28). In a 2019 systematic review that evaluated workplace violence as physical and non-physical, nurses had the highest exposure to any type of violence, followed by doctors and other health professionals (3). In another systematic review, nurses were exposed to physical violence more frequently than doctors (12). It is clear that further studies are needed to provide more evidence about violence against health professionals in the workplace.
Our findings indicated that there was a significant difference between countries in terms of the frequency of verbal and physical violence, both throughout the career and during the last year. Data on the frequency of verbal and physical violence throughout the career were available from only 6 countries. Only one study covering 2 countries (Iraq and Jordan) was included in the meta-analysis. These findings suggest that more studies are needed to examine the frequency of physical and verbal violence throughout the career in countries in the Region. The frequency of verbal violence in the last year has been reported in more countries and more studies, however, analysis of publication bias revealed major asymmetry between studies. The results reporting the prevalence of violence in the last year should be carefully evaluated due to the small number of countries involved, the results relating to the frequency of violence throughout the career, and the major asymmetry from publication bias. It should, however, be taken into account that each country has its own particular working environment and conditions and geographical and cultural differences in the perception of violence, and that any standard definition and measurement of violence are not included in the studies.
We found that the year of publication was correlated with the prevalence estimates. In studies conducted in 2011 and later, physical violence throughout the career was significantly more prevalent than in those conducted in 2010 and before. For verbal violence, frequency in the last year was 67.9% in studies published in 2010 and before. This was significantly higher than the results for later years. In contrast, in our study we did not find any significant relationship reported in other systematic reviews on violence in health settings (3,12). The fact that more recent studies reported a higher prevalence of violence in our meta-analysis may be due to the increase in violence in the last decade, or it may be a result of an increase in awareness about workplace violence. Also, the number of studies conducted on violence in health has seen an increase over the past decade, with only 23 of the 75 studies dating from 2010 or earlier.
Our study had certain strengths and weaknesses. There was no standard measurement method in studies conducted to evaluate workplace violence among health professionals. There were definitional differences in terms of severity and typs. The time intervals in which violence was investigated differed in the studies we included. For this reason, we need to consider bias in recall studies that assess long-term violence (for example, throughout the career). The studies examined were analysed according to characteristics such as sample size, quality score and year of study; even so, it should be considered that many other factors may affect the frequency of violence when examining the results. For example, the frequency of violence encountered throughout the career may be greater in older participants, and some participants may not report the violence they have been exposed to for fear of losing their job. A particular behaviour perceived as violence in one society may be perceived as normal in another; a circumstance that may be misleading when comparing results.
Along with these limitations, our research also had some strengths. As far as we know, this is the first study in which physical and verbal violence related to the Eastern Mediterranean Region, which covers a vast geographical area and many countries, are examined together.In addition, within the scope of the study, the frequencies of both physical and verbal violence were discussed separately during the whole career and in the last year. This has allowed the frequency of violence to be discussed for specific time intervals.
Conclusion
Different questionnaires and different time intervals were used in the studies examined. This makes it difficult to calculate a standard severity prevalence and compare subgroups. Using a standard questionnaire in future studies would provide clearer results. In addition, practical interventions in the health sector are still urgently needed. In future research, it would be helpful to examine the temporal trend of workplace violence by country to determine how country-specific social factors and policies affect it and to investigate the causes of violence and methods for prevention.
Funding: None.
Competing interests: None declared.
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References for studies included in this review
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Alshahrani M, Alfaisal R, Alshahrani K, Alotaibi L, Alghoraibi H, Alghamdi E et al. Incidence and prevalence of violence toward health care workers in emergency departments: a multicenter cross-sectional survey. Int J Emerg Med. 2021;14(1):1–8. doi:10.1186/s12245-021-00394-1
Al-Shamlan NA, Jayaseeli N, Al-Shawi MM, Al-Joudi AS. Are nurses verbally abused? A cross-sectional study of nurses at a university hospital, Eastern Province, Saudi Arabia. J Fam Community Med. 2017;24(3):173–80. doi:10.4103/jfcm.JFCM_45_17
Alsmael MM, Gorab AH, AlQahtani AM. Violence against healthcare workers at primary care centers in Dammam and Al Khobar, Eastern Province, Saudi Arabia. Int J Gen Med. 2020;13:667–76. doi:10.2147/IJGM.S267446
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Ayranci U. Violence toward health care workers in emergency departments in west Turkey. J Emerg Med. 2005;28(3):361–365. doi:10.1016/j.jemermed.2004.11.018
Ayranci U, Yenilmez C, Balci Y, Kaptanoglu C. Identification of violence in Turkish health care settings. J Interpers Violence. 2006;21(2):276–96. doi:10.1177/0886260505282565
Baig LA, Shaikh S, Polkowski M, Ali SK, Jamali S, Mazharullah L et al. Violence against health care providers: A mixed-methods study from Karachi, Pakistan. J Emerg Med. 2018;54(4):558–66. doi:10.1016/j.jemermed.2017.12.047
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Bayram B, Cetin M, Oray NC, Can IO. Workplace violence against physicians in Turkey’s emergency departments: a cross-sectional survey. BMJ Open. 2017;7(6):1–10. doi:10.1136/bmjopen-2016-013568
Belayachi J, Berrechid K, Amlaiky F, Zekraoui A, Abouqal R. Violence toward physicians in emergency departments of Morocco: prevalence, predictive factors, and psychological impact. J Occup Med Toxicol. 2010;5(1):1–7. doi:10.1186/1745-6673-5-27
Boz B, Acar K, Ergin A, Erdur B, Kurtulus A, Turkcuer I, et al. Violence toward health care workers in emergency departments in Denizli, Turkey. Adv Therapy. 2006;23(2):364–9. doi:10.1007/BF02850142
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Coskun SC. An analysis of the exposure to violence and burnout levels of ambulance staff. Turk J Emerg Med. 2019;19(1):21–5. doi:10.1016/j.tjem.2018.09.002
Darawad MW, Al-Hussami M, Saleh AM, Mustafa WM, Odeh H. Violence against nurses in emergency departments in Jordan: nurses’ perspective. Workplace Health Saf. 2022;63(1):9–17. doi:10.1177/2165079914565348
Demirci S, Ugurluoglu, O. An evaluation of verbal, physical, and sexual violence against healthcare workers in Ankara, Turkey. J Forensic Nurs. 2020;16(4):E33–E41. doi:10.1097/JFN.0000000000000286
Emam, GH, Alimohammadi H, Sadrabad AZ, Hatamabadi H. Workplace violence against residents in emergency department and reasons for not reporting them; a cross sectional study. Emerg (Tehran). 2018;6(1):e7. PMID:29503832
Erdur B, Ergin A, Yuksel A, Turkcuer I, Ayrık C, Boz B. Assessment of the relation of violence and burnout among physicians working in the emergency departments in Turkey. Ulus Travma Derg.2015;21(3):175–81. doi:10.5505/tjtes.2015.91298
Esmaeilpour M, Salsali M, Ahmadi F. Workplace violence against Iranian nurses working in emergency departments. Int Nurs Rev. 2011;58(1):130–7. doi:10.1111/j.1466-7657.2010.00834.x
Fallahi-Khoshknab M, Oskouie F, Najafi F, Ghazanfari N, Tamizi Z, Ahmadvand H. Psychological violence in the health care settings in Iran: a cross-sectional study. Nurs Midwifery Stud. 2015;4(1):1–6. doi:10.17795/nmsjournal24320
Fallahi-Khoshknab M, Oskouie F, Najafi F, Ghazanfari N, Tamizi Z, Afshani S. Physical violence against health care workers: a nationwide study from Iran. Iran J Nurs Midwifery Res. 2016;21(3):232–8. doi:10.4103/1735-9066.180387
Ghareeb NS, El-Shafei DA, Eladl AM. Workplace violence among healthcare workers during COVID-19 pandemic in a Jordanian governmental hospital: the tip of the iceberg. Environ Sci Pollut Res. 2021;28(43):61441–9. doi:10.1007/s11356-021-15112-w
Gunaydın N, Kutlu Y. Experience of workplace violence among nurses in health-care settings. J Psychiatr Nurs. 2012;3(1):1–5. doi:10.5505/phd.2012.32042
Hamdan M, Abu Hamra A. Workplace violence towards workers in the emergency departments of Palestinian hospitals: a cross-sectional study. Hum Resour Health. 2015;13(1):28. doi:10.1186/s12960-015-0018-2
Hamzaoglu N, Turk B. Prevalence of physical and verbal violence against health care workers in Turkey. Int J Soc Determinants of Health and Health Services. 2019;49(4):844–61. doi:10.1177/0020731419859828
Harthi M, Olayan M, Abugad H, Abdel Wahab M. Workplace violence among health-care workers in emergency departments of public hospitals in Dammam, Saudi Arabia. East Mediterr Health J. 2020;26(12):1473–81. doi:10.26719/emhj.20.069
Honarvar B, Ghazanfari N, Raeisi Shahraki H, Rostami S, Bagheri Lankarani K. Violence against nurses: A neglected and healththreatening epidemic in the university affiliated public hospitals in Shiraz, Iran. Int J Occup Environ Med. 2019;10(3):111–23. doi:10.15171/ijoem.2019.1556
Jafree SR. Workplace violence against women nurses working in two public sector hospitals of Lahore, Pakistan. Nurs Outlook. 2017;65(4):420–7. doi:10.1016/j.outlook.2017.01.008
Jaradat Y, Nielsen MB, Bast-Pettersen R. Psychosomatic symptoms among Palestinian nurses exposed to workplace aggression. Am J Ind Med. 2018;61(6):533–7. doi:10.1002/ajim.22851
Khademloo M, Moonesi FS, Gholizade H. Health care violence and abuse towards nurses in hospitals in North of Iran. Glob J Health Sci. 2013;5(4):211–6. doi:10.5539/gjhs.v5n4p211
Khan MN, Haq ZU, Khan M, Wali S, Baddia F, Rasul S et al. Prevalence and determinants of violence against health care in the metropolitan city of Peshawar: a cross sectional study. BMC Public Health. 2021;21(1):330. doi:10.1186/s12889-021-10243-8
Kisa S. Turkish nurses’ experiences of verbal abuse at work. Arch Psychiatr Nurs. 2008;22(4):200–7. doi:10.1016/j.apnu.2007.06.013
Kitaneh M, Hamdan M. Workplace violence against physicians and nurses in Palestinian public hospitals: a cross-sectional study. BMC Health Serv Res. 2012;12(1):469. doi:10.1186/1472-6963-12-469
Lafta RK, Falah N. Violence against health-care workers in a conflict affected city. Med Confl Surviv. 2019;35(1):65–79. doi:10.1080/13623699.2018.1540095
Mirza NM, Amjad AI, Bhatti ABH, Mirza F, Shaikh KS, Kiani J et al. Violence and abuse faced by junior physicians in the emergency department from patients and their caretakers: a nationwide study from Pakistan. J Emerg Med. 2012;42(6):727–33. doi:10.1016/j.jemermed.2011.01.029
Mohamad O, AlKhoury N, Abdul-Baki MN, Alsalkini M, Shaaban R. Workplace violence toward resident doctors in public hospitals of Syria: prevalence, psychological impact, and prevention strategies: a cross-sectional study. Hum Resour Health. 2021;19(1):8. doi:10.1186/s12960-020-00548-x
Oztok B, Icme F, Kavakli H, Gunaydin G, Sener A, Celi̇k G. Evaluation of violence against emergency physicians in Turkey. Eurasian J Emerg Med. 2018;17(4):182–6. doi:10.5152/eajem.2018.20982
Oztunç G. Examination of incidents of workplace verbal abuse against nurses. J Nurs Care Qual. 2006;21(4):360–5. doi:10.1097/00001786-200610000-00014
Pinar T, Acikel C, Pinar G, Karabulut E, Saygun M, Bariskin E et al. Workplace violence in the health sector in Turkey: a national study. J Interpers Violence. 2017;32(15):2345–65. doi:10.1177/0886260515591976.
Picakciefe M, Akca S, Elibol A, Deveci A, Yilmaz N, Yilmaz UE. The analysis of violence against the nurses who are in employee status in Mugla State Hospital, Turkey. HealthMED. 2012;6(11):3626–37.
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|
Database |
Terms |
|
PubMed |
((dentist OR Oral healthcare workers OR dental professionals OR dental assistant OR dental hygienists) AND (“Aggression” OR “Violence” OR “Abuse*” OR “Sex Offense*” OR “Occupational Injur*” OR "Assault” OR “Bullying” OR “Harassment” OR “Threat*” OR “Attack” ) NOT (child Abuse)) Workplace (“Physician*” OR “Medical Staff” OR “Health* Personnel” OR “Health* worker*” OR “Health* employee*” OR "Health* worker” OR "Health* professional” OR "Health* provider” OR “Nurs*” OR “Health* staff” OR “Doctor” OR “Dent*” OR "Radiologist” OR “Radiographer” OR “Pharmacist*” OR "Assistant”) “Physician*” OR “Medical Staff” OR “Nurs*” OR "Doctor” OR "Dent*” OR “Radiologist” OR “Radiographer" OR “Pharmacist*” OR "Assistant" OR “General practitioner*” OR ((“Health*" AND (“Personnel” OR “Worker*” OR “Employee*” OR “Professional” OR “Provider” OR “Staff”)) “caregivers*” OR “care-giver*” OR “case managers” OR “case manager*” OR “GP” “home carer*” OR “social care worker*” OR “OR “social worker*” OR “community worker*” (“East* Mediterrenian” OR “Turk*" OR "Iraq*" OR "Syria*” OR “Iran*” OR “Afghan*” OR “Bahrain*” OR “Djibouti*” OR “Egypt*” OR “Jordan*” OR “Kuwait*” OR “Leban*” OR “Libya*” OR “Morocc*” OR “Oman*” OR “Palestin*” OR “Pakistan*” OR “Qatar*” OR “Saudi Arab*” OR “Somali*” OR “Sudan*” OR “Tunisia*” OR “United Arab Emirates” OR “Yemen*") |
|
Cochrane Library |
((dentist OR Oral healthcare workers OR dental professionals OR dental assistant OR dental hygienists) AND (violence OR bullying OR threats OR harassment)) |
|
Scopus |
((dentist OR Oral healthcare workers OR dental professionals OR dental assistant OR dental hygienists) AND (violence OR bullying OR threats OR harassment)) |
|
Science Direct |
(((dentist OR dental assistant OR dental hygienists) AND (violence OR bullying OR harassment)) AND (Cross-section OR Crosssectional) NOT (Child Abuse))) |
|
Web of Science |
((dentist OR Oral healthcare workers OR dental professionals OR dental assistant OR dental hygienists) AND (violence OR bullying OR threats OR harassment) NOT (child Abuse)) |
|
ProQuest |
((dentist OR Oral healthcare workers OR dental professionals OR dental assistant OR dental hygienists) AND (violence OR bullying OR threats OR harassment)) |
Table 2. Loney criteria quality scores for 75 studies from the WHO Eastern Mediterranean Region and Türkiye conducted during 1999–2021
|
Study |
Country |
Loney criteriona |
Total quality score |
|||||||
|
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
|||
|
Abbas et al. 2010 |
Egypt |
1 |
1 |
1 |
0 |
0 |
0 |
1 |
1 |
5 |
|
Abdellah et al. 2017 |
Egypt |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
|
Abou-ElWafa et al. 2015 |
Egypt |
1 |
1 |
0 |
1 |
0 |
1 |
1 |
1 |
6 |
|
Abualrub et al. 2007 |
Iraq |
0 |
0 |
0 |
1 |
0 |
1 |
0 |
1 |
4 |
|
Abualrub et al. 2014 |
Jordan |
0 |
0 |
1 |
1 |
0 |
1 |
0 |
1 |
4 |
|
Acik et al. 2008 |
Türkiye |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
7 |
|
Adib et al. 2002 |
Kuwait |
1 |
1 |
1 |
1 |
0 |
1 |
0 |
1 |
6 |
|
Ahmed, 2012 |
Jordan |
1 |
0 |
1 |
1 |
1 |
1 |
0 |
0 |
5 |
|
Akbolat et al. 2021 |
Türkiye |
1 |
1 |
0 |
1 |
1 |
1 |
0 |
1 |
6 |
|
Al Anazi et al. 2020 |
Saudi Arabia |
1 |
1 |
0 |
0 |
1 |
1 |
1 |
1 |
6 |
|
Alameddine et al. 2011 |
Lebanon |
1 |
1 |
0 |
1 |
1 |
1 |
1 |
1 |
7 |
|
Alameddine et al. 2015 |
Lebanon |
1 |
0 |
1 |
0 |
1 |
0 |
0 |
1 |
4 |
|
AlBashtawy et al. 2013 |
Jordan |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
1 |
3 |
|
AlBashtawy, 2013 |
Jordan |
0 |
1 |
0 |
1 |
0 |
0 |
1 |
1 |
4 |
|
Algwaiz et al. 2012 |
Saudi Arabia |
1 |
1 |
1 |
1 |
0 |
0 |
1 |
1 |
6 |
|
Alhamad et al. 2021 |
Jordan |
1 |
1 |
1 |
0 |
1 |
0 |
0 |
0 |
4 |
|
Alharbi et al. 2021 |
Saudi Arabia |
0 |
1 |
1 |
1 |
0 |
1 |
0 |
1 |
5 |
|
Al-Omari et al. 2015 |
Jordan |
1 |
1 |
1 |
1 |
1 |
1 |
0 |
0 |
6 |
|
Al-Omari et al. 2019 |
Jordan |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
2 |
|
Alqahtani et al. 2020 |
Saudi Arabia |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
1 |
5 |
|
Alsaleem et al. 2018 |
Saudi Arabia |
1 |
0 |
1 |
1 |
1 |
1 |
1 |
1 |
7 |
|
Al-Shaban et al. 2021 |
Saudi Arabia |
0 |
1 |
0 |
1 |
1 |
1 |
1 |
1 |
6 |
|
Alshahrani et al. 2021 |
Saudi Arabia |
1 |
1 |
1 |
0 |
1 |
1 |
0 |
1 |
6 |
|
Alshamlan et al. 2017 |
Saudi Arabia |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
7 |
|
Alsmael et al. 2020 |
Saudi Arabia |
1 |
1 |
1 |
0 |
1 |
0 |
1 |
1 |
6 |
|
Arafa et al. 2022 |
Egypt |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
1 |
3 |
|
Atawneh et al. 2003 |
Kuwait |
1 |
1 |
0 |
1 |
0 |
1 |
1 |
0 |
5 |
|
Ayranci et al. 2005 |
Türkiye |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
1 |
5 |
|
Ayranci et al. 2006 |
Türkiye |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
7 |
|
Baig et al. 2018 |
Pakistan |
0 |
0 |
1 |
1 |
0 |
1 |
1 |
1 |
5 |
|
Baykan et al. 2015 |
Türkiye |
1 |
0 |
1 |
1 |
1 |
1 |
1 |
1 |
7 |
|
Bayram et al. 2017 |
Türkiye |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
8 |
|
Belayachi et al. 2010 |
Morocco |
1 |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
3 |
|
Boz et al. 2006 |
Türkiye |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
1 |
|
Cevik et al. 2020 |
Türkiye |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
2 |
|
Coskun, 2019 |
Türkiye |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
1 |
3 |
|
Darawad et al. 2015 |
Jordan |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
1 |
3 |
|
Demirci et al. 2020 |
Türkiye |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
7 |
|
Emam et al. 2018 |
Iran, IR |
1 |
0 |
0 |
1 |
0 |
1 |
1 |
1 |
5 |
|
Erdur et al. 2015 |
Türkiye |
1 |
1 |
0 |
0 |
0 |
1 |
1 |
1 |
5 |
|
Esmaeilpour et al. 2011 |
Iran, IR |
0 |
0 |
0 |
1 |
1 |
1 |
0 |
0 |
3 |
|
Fallahi-Khoshknab et al. 2015 |
Iran, IR |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
7 |
|
Fallahi-Khoshknab et al. 2016 |
Iran, IR |
1 |
0 |
1 |
0 |
1 |
1 |
1 |
1 |
6 |
|
Ghareeb et al. 2021 |
Jordan |
1 |
1 |
1 |
1 |
0 |
1 |
0 |
1 |
6 |
|
Gunaydın et al. 2012 |
Türkiye |
1 |
1 |
1 |
1 |
0 |
0 |
0 |
1 |
5 |
|
Hamdan et al. 2015 |
Palestine |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
8 |
|
Hamzaoglu et al. 2019 |
Türkiye |
0 |
1 |
1 |
0 |
0 |
1 |
1 |
1 |
5 |
|
Harthi et al. 2020 |
Saudi Arabia |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
1 |
4 |
|
Honarvar et al. 2019 |
Iran, IR |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
7 |
|
Jafree, 2017 |
Pakistan |
1 |
1 |
0 |
1 |
0 |
0 |
1 |
1 |
5 |
|
Jaradat et al. 2018 |
Palestine |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
3 |
|
Khademloo et al. 2013 |
Iran, IR |
1 |
0 |
0 |
1 |
1 |
1 |
0 |
0 |
4 |
|
Khan et al. 2021 |
Pakistan |
1 |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
7 |
|
Kisa et al. 2008 |
Türkiye |
1 |
1 |
0 |
1 |
0 |
1 |
0 |
1 |
5 |
|
Kitaneh et al. 2012 |
Palestine |
1 |
1 |
0 |
1 |
1 |
1 |
1 |
1 |
7 |
|
Lafta et al. 2019 |
Iraq |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
1 |
8 |
|
Mirza et al. 2012 |
Pakistan |
1 |
0 |
1 |
1 |
1 |
1 |
1 |
1 |
7 |
|
Mohamad et al. 2021 |
Syrian Arab Republic |
0 |
0 |
1 |
1 |
0 |
1 |
1 |
1 |
5 |
|
Oztok et al. 2018 |
Türkiye |
1 |
0 |
1 |
1 |
1 |
0 |
0 |
1 |
5 |
|
Oztunc, 2006 |
Türkiye |
1 |
1 |
0 |
1 |
0 |
0 |
0 |
1 |
4 |
|
Pinar et al. 2017 |
Türkiye |
1 |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
7 |
|
Picakcıefe et al. 2012 |
Türkiye |
1 |
1 |
0 |
1 |
0 |
1 |
1 |
1 |
6 |
|
Rafeea et al. 2017 |
Bahrain |
0 |
1 |
0 |
0 |
1 |
1 |
1 |
1 |
5 |
|
Rahmani et al. 2012 |
Iran, IR |
1 |
1 |
0 |
1 |
1 |
0 |
0 |
0 |
4 |
|
Sadrabad et al. 2019 |
Iran, IR |
1 |
1 |
0 |
1 |
1 |
1 |
0 |
0 |
5 |
|
Samir et al. 2012 |
Egypt |
1 |
1 |
1 |
1 |
1 |
1 |
0 |
0 |
6 |
|
Sani et al. 2020 |
Iran, IR |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
1 |
3 |
|
Shaikh et al. 2020 |
Pakistan |
1 |
1 |
1 |
0 |
1 |
1 |
1 |
1 |
7 |
|
Shoghi et al. 2008 |
Iran, IR |
0 |
1 |
1 |
0 |
1 |
1 |
1 |
1 |
6 |
|
Teymourzadeh et al. 2014 |
Iran, IR |
1 |
1 |
0 |
1 |
0 |
1 |
1 |
1 |
6 |
|
Towhari et al. 2020 |
Saudi Arabia |
0 |
1 |
0 |
0 |
1 |
1 |
0 |
1 |
4 |
|
Turki et al. 2016 |
Saudi Arabia |
1 |
1 |
0 |
0 |
1 |
1 |
1 |
1 |
6 |
|
Uzun, 2003 |
Türkiye |
0 |
1 |
1 |
0 |
1 |
0 |
0 |
0 |
3 |
|
Unsal Atan et al. 2013 |
Türkiye |
1 |
1 |
1 |
1 |
1 |
0 |
0 |
0 |
5 |
|
Zafar et al. 2016 |
Pakistan |
1 |
1 |
0 |
1 |
0 |
1 |
1 |
1 |
6 |
a1: Random sample or whole population; 2: Unbiased sampling frame; 3: Adequated sample size (≥ 355); 4: Measures were standard; 5: Outcomes measured by unbiased assessors; 6: Adequated response rate (≥ 70); 7: Confidence intervals, subgroup analysis; 8: Study subject defined.
Table 3. Characteristics of the 75 studies reviewed conducted in the WHO Eastern Mediterranean Region and Türkiye during 1999–2021, noting numbers of violent incidents
|
Study |
Country |
Year conducted |
Sample size |
Professional group |
Setting |
Response rate (%) |
Sampling |
Quality score |
Time interval |
No. violent incidents, verbal |
No. violent incidents, physical |
|
Abbas et al. 2010 |
Egypt |
2010 |
970 |
N |
PC, GH |
55.0 |
Random |
5 |
Last 1 year |
187 |
25 |
|
Abdellah et al. 2017 |
Egypt |
2016 |
134 |
P, N, O |
ED |
94.4 |
Convenience |
3 |
Last 1 year |
78 |
21 |
|
Abou-ElWafa et al. 2015 |
Egypt |
2013 |
275 |
N |
ED, GH |
96.1 |
Convenience |
7 |
Last 1 year |
140 |
110 |
|
Abualrub et al. 2007 |
Iraq |
2005 |
116 |
N |
ED, GH |
100.0 |
Purposive |
4 |
Last 1 year |
NR |
49 |
|
Abualrub et al. 2014 |
Jordan |
2008 |
422 |
N |
GH |
84.4 |
Convenience |
4 |
Last 1 year |
288 |
NR |
|
Acik et al. 2008 |
Türkiye |
2007 |
1712 |
P |
GH |
70.0 |
All |
7 |
During career |
1 142 |
272 |
|
Adib et al. 2002 |
Kuwait |
1999 |
5876 |
N |
ED, GH |
84.0 |
All |
6 |
Last 6 month |
2 813 |
423 |
|
Ahmed, 2012 |
Jordan |
2010 |
447 |
N |
GH |
89.4 |
Random |
5 |
Last 6 months |
166 |
82 |
|
Akbolat et al. 2021 |
Türkiye |
2018 |
299 |
P, N, O |
GH |
80.3 |
All |
6 |
Last 1 year |
147 |
67 |
|
Al Anazi et al. 2020 |
Saudi Arabia |
2018 |
352 |
P, N, O |
GH |
94.6 |
Random |
6 |
Last 1 year |
162 |
29 |
|
Alameddine et al. 2011 |
Lebanon |
2010 |
256 |
P, N, O |
ED |
70.3 |
Random |
7 |
Last 1 year |
207 |
66 |
|
Alameddine et al. 2015 |
Lebanon |
2012 |
593 |
N |
NR |
64.8 |
Stratified |
4 |
Last 1 year |
366 |
56 |
|
ALBashtawy et al. 2015 |
Jordan |
2011 |
355 |
P, N, O |
ED |
60.8 |
Convenience |
3 |
Last 1 year |
216 |
40 |
|
ALBashtawy, 2013 |
Jordan |
2011 |
227 |
N |
ED |
54.4 |
Convenience |
4 |
Last 1 year |
145 |
27 |
|
Algwaiz et al. 2012 |
Saudi Arabia |
2011 |
383 |
P, N |
GH |
63.8 |
Stratified |
6 |
Last 1 year |
244 |
31 |
|
Alhamad et al. 2021 |
Jordan |
2019 |
969 |
P |
GH |
51.4 |
Stratified |
4 |
Last 1 year |
545 |
54 |
|
Alharbi et al. 2021 |
Saudi Arabia |
2019 |
404 |
P, N, O |
GH |
89.8 |
Convenience |
5 |
During career |
321 |
273 |
|
Al-Omari et al. 2015 |
Jordan |
2013 |
468 |
N |
ED, GH |
93.6 |
Convenience |
6 |
Last 1 year |
317 |
247 |
|
Al-Omari et al. 2019 |
Jordan |
2018 |
57 |
N |
GH |
NR |
Convenience |
2 |
Last 1 year |
41 |
14 |
|
Alqahtani et al. 2020 |
Saudi Arabia |
2018 |
164 |
P, N, O |
ED |
NR |
All |
5 |
Last 1 year |
75 |
27 |
|
Alsaleem et al. 2018 |
Saudi Arabia |
2017 |
738 |
P, N, O |
PC, GH |
92.2 |
Random |
7 |
During career |
377 |
284 |
|
Al-Shaban et al. 2021 |
Saudi Arabia |
2018 |
213 |
P, N |
GH |
82.0 |
Convenience |
6 |
Last 1 year |
138 |
63 |
|
Alshahrani et al. 2021 |
Saudi Arabia |
2018 |
492 |
P, N, O |
ED |
70.0 |
Random |
6 |
During career |
371 |
102 |
|
Alshamlan et al. 2017 |
Saudi Arabia |
2015 |
391 |
N |
GH |
86.9 |
All |
7 |
Last 1 year |
120 |
NR |
|
Alsmael et al. 2020 |
Saudi Arabia |
2019 |
360 |
P, N, O |
PC |
64.0 |
Cluster |
6 |
Last 1 year |
152 |
5 |
|
Arafa et al. 2022 |
Egypt |
2021 |
209 |
P, N |
GH |
69.7 |
All |
3 |
last 6 months |
89 |
20 |
|
Atawneh et al. 2003 |
Kuwait |
2002 |
81 |
N |
ED |
94.0 |
All |
5 |
Last 1 year |
70 |
13 |
|
Ayrancı et al. 2005 |
Türkiye |
2002 |
195 |
P, N, O |
ED |
80.6 |
Convenience |
5 |
Last 1 year |
98 |
12 |
|
Ayrancı et al. 2006 |
Türkiye |
2001 |
1 209 |
P, N, O |
ED, GH, PC |
88.4 |
Stratified |
7 |
Last 1 year |
528 |
165 |
|
Baig et al. 2018 |
Pakistan |
2017 |
822 |
P, N, O |
ED, GH |
95.5 |
Convenience |
5 |
Last 1 year |
251 |
120 |
|
Baykan et al. 2015 |
Türkiye |
2012 |
597 |
P |
ED, GH, PC |
75.9 |
All |
7 |
During career |
486 |
134 |
|
Bayram et al. 2017 |
Türkiye |
2015 |
713 |
P |
ED |
79.0 |
Random |
8 |
Last 1 year |
NR |
222 |
|
Belayachi et al. 2010 |
Morocco |
2009 |
60 |
P |
ED |
100.0 |
All |
3 |
During career |
NR |
5 |
|
Boz et al. 2006 |
Türkiye |
2003 |
79 |
P, N, O |
ED |
NR |
Convenience |
1 |
Last 1 year |
70 |
39 |
|
Cevik et al. 2020 |
Türkiye |
2017 |
948 |
P |
ED, PC, GH |
94.8 |
Convenience |
2 |
During career |
610 |
93 |
|
Coskun, 2019 |
Türkiye |
2017 |
143 |
P, N, O |
ED |
NR |
Convenience |
3 |
During career |
124 |
49 |
|
Darawad et al. 2015 |
Jordan |
2013 |
174 |
N |
ED |
58.0 |
Random |
3 |
During career |
152 |
37 |
|
Demirci et al. 2020 |
Türkiye |
2019 |
347 |
P, N, O |
GH |
100.0 |
Stratified |
7 |
During career |
310 |
32 |
|
Emam et al. 2018 |
Iran, IR |
2015 |
280 |
P |
ED |
81.4 |
Random |
5 |
During career |
254 |
192 |
|
Erdur et al. 2015 |
Türkiye |
2014 |
174 |
P |
ED |
85.0 |
Convenience |
5 |
Last 2 month |
75 |
9 |
|
Esmaeilpour et al. 2011 |
Iran, IR |
2009 |
178 |
N |
ED |
90.8 |
Convenience |
3 |
Last 1 year |
163 |
35 |
|
Fallahi-Khoshknab et al. 2015 |
Iran, IR |
2011 |
5 874 |
P, N, O |
PC |
90.3 |
Cluster |
7 |
Last 1 year |
4179 |
NR |
|
Fallahi-Khoshknab et al. 2016 |
Iran, IR |
2011 |
5 677 |
P, N, O |
GH |
90.3 |
Random |
6 |
Last 1 year |
|
1333 |
|
Ghareeb et al. 2021 |
Jordan |
2021 |
382 |
P, N |
GH |
75.5 |
All |
6 |
Last 6 month |
210 |
120 |
|
Günaydın et al. 2012 |
Türkiye |
2011 |
868 |
N |
GH |
66.7 |
Random |
5 |
Last 1 year |
524 |
225 |
|
Hamdan et al. 2015 |
Palestine |
2013 |
444 |
P, N, O |
ED |
74.50 |
Random |
8 |
Last 1 year |
310 |
158 |
|
Hamzaoglu et al. 2019 |
Türkiye |
2017 |
447 |
P, N, O |
ED, PC, GH |
100.0 |
Random |
5 |
During career |
397 |
164 |
|
Harthi et al. 2020 |
Saudi Arabia |
2018 |
324 |
P, N, O |
ED |
85.0 |
All |
4 |
Last 1 year |
126 |
45 |
|
Honarvar et al. 2019 |
Iran, IR |
2017 |
405 |
N |
GH |
96.4 |
Random |
7 |
Last 1 year |
340 |
87 |
|
Jafree, 2017 |
Pakistan |
2013 |
309 |
N |
GH |
34.8 |
Random |
5 |
Last 1 year |
177 |
165 |
|
Jaradat et al. 2018 |
Palestine |
2012 |
341 |
N |
PC, GH |
91.7 |
Convenience |
3 |
Last 1 year |
83 |
17 |
|
Khademloo et al. 2013 |
Iran, IR |
2013 |
271 |
N |
GH |
76.5 |
All |
4 |
Last 1 year |
260 |
79 |
|
Khan et al. 2021 |
Pakistan |
2017 |
842 |
P, N, O |
PC, GH |
65.6 |
Stratified |
7 |
Last 1 year |
192 |
3 |
|
Kisa et al. 2008 |
Türkiye |
2006 |
339 |
N |
GH |
82.7 |
Convenience |
5 |
Last 1 year |
269 |
NR |
|
Kitaneh et al. 2012 |
Palestine |
2011 |
240 |
P, N |
GH |
87.7 |
Stratified |
7 |
Last 1 year |
139 |
50 |
|
Lafta et al. 2019 |
Iraq |
2018 |
700 |
P, N, O |
PC, GH |
87.5 |
Random |
8 |
During career |
502 |
99 |
|
Mirza et al. 2012 |
Pakistan |
2007 |
675 |
P |
ED |
93.0 |
Convenience |
7 |
Last 2 month |
439 |
80 |
|
Mohamad et al. 2021 |
Syrian Arab Republic |
2020 |
1 127 |
P |
GH |
91.9 |
convenience |
5 |
Last 1 year |
955 |
215 |
|
Oztok et al. 2018 |
Türkiye |
2013 |
502 |
P |
ED |
82.4 |
Random |
5 |
During career |
414 |
308 |
|
Oztunc, 2006 |
Türkiye |
2004 |
290 |
N |
GH |
64.4 |
All |
4 |
Last 1 year |
233 |
NR |
|
Pınar et al. 2017 |
Türkiye |
2012 |
12 944 |
P, N, O |
PC, GH |
89.6 |
Random |
7 |
Last 1 year |
5595 |
875 |
|
Picakcıefe et al. 2012 |
Türkiye |
2009 |
268 |
N |
GH |
86.5 |
All |
6 |
During career |
207 |
62 |
|
Rafeea et al. 2017 |
Bahrain |
2017 |
100 |
P, N, O |
ED |
NR |
Convenience |
5 |
Last 1 year |
78 |
11 |
|
Rahmani et al. 2012 |
Iran, IR |
2009 |
138 |
O |
ED |
86.2 |
Convenience |
4 |
Last 1 year |
98 |
52 |
|
Sadrabad et al. 2019 |
Iran, IR |
2011 |
215 |
P,N,O |
ED |
72.6 |
All |
5 |
During career |
144 |
22 |
|
Samir et al. 2012 |
Egypt |
2008 |
416 |
N |
GH |
83.2 |
Random |
6 |
Last 6 month |
325 |
113 |
|
Sani et al. 2020 |
Iran, IR |
2018 |
118 |
N |
ED |
NR |
Convenience |
3 |
Last 1 year |
95 |
30 |
|
Shaikh et al. 2020 |
Pakistan |
2018 |
8 579 |
P, N, O |
GH |
100.0 |
Random |
7 |
Last 6 month |
2909 |
567 |
|
Shoghi et al. 2008 |
Iran, IR |
2008 |
1 317 |
N |
GH |
87.8 |
Convenience |
6 |
Last 6 month |
1122 |
363 |
|
Teymourzadeh et al. 2014 |
Iran, IR |
2010 |
301 |
N |
ED, GH |
73.0 |
All |
6 |
Last 1 year |
193 |
37 |
|
Towhari et al. 2020 |
Saudi Arabia |
2020 |
135 |
P, N, O |
PC |
98.0 |
Convenience |
4 |
During career |
62 |
3 |
|
Turki et al. 2016 |
Saudi Arabia |
2014 |
270 |
P, N, O |
PC |
90.0 |
Convenience |
6 |
Last 1 year |
116 |
8 |
|
Uzun, 2003 |
Türkiye |
2001 |
467 |
N |
GH |
69.0 |
Convenience |
3 |
Last 1 year |
405 |
NR |
|
Ünsal Atan et al. 2013 |
Türkiye |
2008 |
441 |
N |
GH |
61.2 |
All |
5 |
During career |
209 |
63 |
|
Zafar et al. 2016 |
Pakistan |
2013 |
179 |
P |
ED,GH |
92.2 |
Convenience |
6 |
Last 1 year |
|
28 |
Table 4. Luis Furuya-Kanamori (LFK) index for the studies reviewed
|
Type of violence |
No. of studies |
LFK index value |
||
|
No transformation |
Double arcsin transformation |
Logit transformation |
||
|
|
71 |
2.42 (major asymmetry) |
3.63 (major asymmetry) |
4.12 (major asymmetry) |
|
Physical violence (total) |
69 |
5.42 (major asymmetry) |
3.53 (major asymmetry) |
–0.94 (no asymmetry) |
|
Verbal violence during career |
17 |
–1.19 (minor asymmetry) |
2.41 (major asymmetry) |
3.47 (major asymmetry) |
|
Verbal violence in last 1 year |
54 |
2.63 (major asymmetry) |
3.59 (major asymmetry) |
3.88 (major asymmetry) |
|
Physical violence during career |
18 |
2.81 (major asymmetry) |
0.46 (no asymmetry) |
–1.19 (minor asymmetry) |
|
Physical violence in last 1 year |
51 |
5.81 (major asymmetry) |
3.98 (major asymmetry) |
–0.96 (no asymmetry) |
Table 5. Subgroup analysis of physical and verbal violence reported in 75 studies from the WHO Eastern Mediterranean Region and Türkiye conducted during 1999–2021
|
Subgroup |
During career |
Last 1 year or less |
||||||||||
|
Pooled prevalance |
I2 |
No. of studies |
χ2a |
P |
Pooled prevalence |
I2 |
No. of studies |
χ2a |
P |
|||
|
% |
95% CI |
% |
95% CI |
|||||||||
|
|
Physical violence |
|||||||||||
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Türkiye |
25.0 |
14.1–35.9 |
98.97 |
9 |
12.68 |
0.027 |
19.6 |
9.5–29.8 |
99.32 |
8 |
45.45 |
< 0.001 |
|
Iran, IR |
39.5 |
0.1–97.3 |
99.65 |
2 |
24.1 |
19.2–29.1 |
93.98 |
8 |
||||
|
Pakistan |
|
– |
|
– |
20.9 |
1.3–43.1 |
99.91 |
6 |
||||
|
Jordan |
21.0 |
14.5–27.5 |
|
1 |
22.2 |
10.2–34.2 |
98.78 |
7 |
||||
|
Saudi Arabia |
32.2 |
4.8–59.6 |
99.58 |
4 |
11.2 |
4.3–18.1 |
97.72 |
7 |
||||
|
Egypt |
|
– |
|
– |
18.9 |
5.9–31.9 |
98.45 |
5 |
||||
|
Lebanon |
|
– |
|
– |
17.0 |
2.1–31.8 |
96.67 |
2 |
||||
|
Kuwait |
|
– |
|
– |
10.6 |
2.2–19.1 |
78.07 |
2 |
||||
|
Palestine |
|
– |
|
– |
20.4 |
3.0–37.8 |
98.33 |
3 |
||||
|
Syrian Arab Republic |
|
– |
|
– |
19.1 |
16.8–21.4 |
|
1 |
||||
|
Bahrain |
|
– |
|
– |
11.0 |
4.7–17.3 |
|
1 |
||||
|
Iraq |
14.0 |
11.5–16.5 |
|
1 study |
42.2 |
33.3–51.1 |
|
1 |
||||
|
Morocco |
8.0 |
0.5–15.5 |
|
1 study |
|
– |
|
– |
||||
|
Year conducted |
|
|
|
|
|
|
|
|
|
|
|
|
|
2010 and earlier |
15.6 |
10.3–21.0 |
86.49 |
4 |
4.53 |
0.033 |
20.7 |
14.0–27.3 |
99.21 |
15 |
0.33 |
0.564 |
|
2011 and later |
29.7 |
17.9–41.4 |
99.34 |
14 |
18.3 |
14.0–22.7 |
99.60 |
36 |
||||
|
Sample size |
|
|
|
|
|
|
|
|
|
|
|
|
|
< 355 |
21.9 |
7.0–36.9 |
98.78 |
8 |
0.6 |
0.419 |
20.8 |
15.7–25.9 |
97.11 |
27 |
1.01 |
0.314 |
|
≥ 355 |
30.0 |
17.4–42.7 |
99.42 |
10 |
17.1 |
12.0–22.2 |
99.77 |
24 |
||||
|
Professional group |
|
|
|
|
|
|
|
|
|
|
|
|
|
Physician |
31.0 |
9.5–52.5 |
99.63 |
6 |
1.78 |
0.412 |
14.7 |
6.9–22.5 |
98.13 |
6 |
3.83 |
0.147 |
|
Nurse |
19.0 |
13.2–24.8 |
76.05 |
3 |
23.4 |
17.0–29.9 |
99.21 |
20 |
||||
|
All health care staff |
25.8 |
12.4–39.3 |
99.18 |
9 |
16.5 |
11.8–21.2 |
99.61 |
25 |
||||
|
Quality score |
|
|
|
|
|
|
|
|
|
|
|
|
|
< 6 |
30.3 |
15.4–45.3 |
99.34 |
11 |
1.41 |
0.235 |
18.8 |
13.7–23.9 |
98.52 |
26 |
0.01 |
0.918 |
|
≥ 6 |
20.4 |
13.5–27.2 |
97.05 |
7 |
19.2 |
14.0–24.4 |
99.75 |
25 |
||||
|
Response rate |
|
|
|
|
|
|
|
|
|
|
|
|
|
< 70% |
22.6 |
11.2–34.1 |
91.67 |
3 |
0.30 |
0.581 |
16.3 |
8.7–23.8 |
99.59 |
16 |
0.84 |
0.360 |
|
≥ 70% |
27.2 |
15.8–38.5 |
99.42 |
15 |
20.3 |
16.3–24.2 |
99.43 |
35 |
||||
|
Total |
23.4 |
16.1–32.0 |
99.0 |
18 |
– |
|
19.0 |
15.4–22.6 |
99.00 |
51 |
– |
|
|
|
Verbal violence |
|||||||||||
|
Country |
|
|
|
|
|
|
|
|
|
|
|
|
|
Türkiye |
75.9 |
66.7–85.1 |
98.37 |
9 |
26.02 |
< 0.001 |
62.4 |
50.5–74.3 |
99.25 |
10 |
160.08 |
< 0.001 |
|
Iran, IR |
79.1 |
55.6–99.0 |
97.82 |
2 |
80.7 |
73.0–88.4 |
98.49 |
8 |
||||
|
Pakistan |
|
– |
|
– |
45.0 |
30.7–59.4 |
99.22 |
6 |
||||
|
Jordan |
87.0 |
82.0–92.0 |
|
1 |
59.8 |
52.1–67.4 |
95.06 |
8 |
||||
|
Saudi Arabia |
63.0 |
46.7–79.2 |
98.31 |
4 |
46.9 |
38.7–55.1 |
94.59 |
8 |
||||
|
Egypt |
|
– |
|
– |
49.7 |
30.6–68.8 |
98.77 |
5 |
||||
|
Lebanon |
|
– |
|
– |
71.4 |
52.8–90.1 |
97.04 |
2 |
||||
|
Kuwait |
|
– |
|
– |
66.8 |
29.6–99.0 |
98.97 |
2 |
||||
|
Palestine |
|
– |
|
– |
50.7 |
23.6–77.7 |
98.97 |
3 |
||||
|
Syrian Arab Republic |
|
– |
|
– |
85.0 |
83.0–87.0 |
|
1 |
||||
|
Bahrain |
|
– |
|
– |
78.0 |
70.0–86.0 |
|
1 |
||||
|
Iraq |
72.0 |
68.5–75.5 |
|
1 |
|
– |
|
– |
||||
|
Year conducted |
|
|
|
|
|
|
|
|
|
|
|
|
|
2010 and earlier |
63.7 |
46.5–80.9 |
98.27 |
3 |
1.63 |
0.201 |
67.9 |
58.3–77.4 |
99.38 |
18 |
4.43 |
0.035 |
|
2011 and later |
75.8 |
68.5–83.2 |
98.06 |
14 |
55.9 |
50.1–61.7 |
99.28 |
36 |
||||
|
Sample size |
|
|
|
|
|
|
|
|
|
|
|
|
|
< 355 |
77.9 |
66.1–89.8 |
97.65 |
7 |
0.94 |
0.331 |
63.1 |
56.2–69.9 |
97.77 |
28 |
1.52 |
0.218 |
|
≥ 355 |
70.7 |
62.3–79.1 |
98.41 |
10 |
56.6 |
48.9–64.3 |
99.69 |
26 |
||||
|
Professional group |
|
|
|
|
|
|
|
|
|
|
|
|
|
Physicians only |
77.0 |
67.1–86.8 |
97.9 |
5 |
0.45 |
0.799 |
62.2 |
48.7–75.7 |
99.47 |
5 |
4.63 |
0.099 |
|
Nurses only |
70.3 |
46.7–93.9 |
98.60 |
3 |
65.5 |
56.9–74.1 |
99.10 |
24 |
||||
|
All health care staff |
72.9 |
62.7–83.1 |
98.28 |
9 |
54.0 |
47.5–60.5 |
99.15 |
25 |
||||
|
Quality score |
|
|
|
|
|
|
|
|
|
|
|
|
|
< 6 |
74.0 |
63.6–84.5 |
98.50 |
10 |
0.02 |
0.899 |
62.5 |
54.8–70.3 |
98.99 |
29 |
1.17 |
0.280 |
|
≥ 6 |
73.1 |
64.3–82.0 |
97.77 |
7 |
56.9 |
50.3–63.5 |
99.50 |
25 |
||||
|
Response rate |
|
|
|
|
|
|
|
|
|
|
|
|
|
< 70% |
73.6 |
47.5–99.8 |
98.79 |
3 |
0.01 |
0.995 |
60.1 |
50.8–69.4 |
98.75 |
18 |
0.01 |
0.960 |
|
≥ 70% |
73.7 |
66.8–80.7 |
98.11 |
14 |
59.8 |
53.5–66.1 |
99.53 |
36 |
||||
|
Total |
73.7 |
67.8–80.4 |
98.01 |
7 |
– |
|
59.9 |
54.7–65.1 |
99.05 |
4 |
– |
|
