Abstract
Aim
To identify predictors and consequences of violence or aggression events against nurses and nursing students in different work contexts.
Background
Workplace violence against nurses and nursing students is a very common and widespread phenomenon. Actions to manage or prevent violent events could be implemented knowing the risk factors and consequences. However, there is a lack of systematic reviews that summarize knowledge on the predictors and consequences of workplace violence.
Evaluation
A scoping review was conducted using electronic databases including APA PsycInfo, CINAHL, Cochrane, Ovid Medline, PubMed and Scopus.
Key issues
After full text analysis, 87 papers were included in the current scoping review. Risk factors of horizontal violence were grouped into ‘personal’ and ‘Environmental and organizational’, and for violence perpetrated by patients into ‘personal’, ‘Environmental and organizational’ and ‘Characteristics of the perpetrators’.
Conclusions
The results of this scoping review uncover problems that often remain unaddressed, especially where these episodes are very frequent. Workplace violence prevention and management programmes are essential to counter it.
Implications for Nursing Management
The predictors and the consequents identified constitute the body of knowledge necessary for nurse managers to develop and implement policy and system actions to effectively manage or prevent violent events.
Keywords: consequences, nurse, nursing students, predictors, scoping review, workplace violence
1. BACKGROUND
The International Labour Organization defines ‘workplace violence’ as ‘any action, incident or behaviour that departures from reasonable conduct in which a person is threatened, harmed, injured in the course of, or as a direct result of, his or her work’ (ILO‐International Labour Organization, 2003). The value of this definition lies both in its completeness (it covers all forms of violence), physical or psychological and in its inclusiveness (it does not exclude colleagues as a source of violence).
Health care professionals are often exposed to the risk of assault by patients or visitors. Workplace violence (WPV) among health care professionals, especially nurses, is the main occupational hazard in both developing and developed countries (Liu et al., 2019). A recent study reported that the prevalence of WPV against health care workers is high, especially in Asian and North American countries, psychiatric and emergency department settings, and among nurses and physicians (Liu et al., 2019).
More specifically, in North America, a survey conducted by the Emergency Nurses Association suggested that about one in every four nurses report having experienced physical violence more than 20 times in the previous 3 years and nearly a fifth report being verbally abused more than 200 times during the same period (Gacki‐Smith et al., 2009). The Australian Incident Monitoring System showed that out of a total of 42.33 accidents, 9% (n = 3621) involved health care professionals in events of violence perpetrated by patients, relatives or visitors (Benveniste et al., 2005). Recently, a large study conducted in Australia showed that more than 75% of the nurses and midwives suffered from violence perpetrated by patients and visitors in the previous six months (Pich & Roche, 2020).
A European study conducted in 2019 showed that out of 260 nurses from five different countries, 20.4%, confirmed they had been physically assaulted in the workplace in the previous 12 months and 76.9% of these reported that it was unavoidable; 92.3% reported being assaulted by patients, family members or visitors in their professional career (Babiarczyk et al., 2019). In particular, the emergency room has been identified as a high‐risk environment for WPV (Kowalenko et al., 2013), where nurses and trainees are the most exposed to this phenomenon (Chapman & Styles, 2006; Gerberich et al., 2005).
Although violent and aggressive patient behaviours are predominantly experienced by staff working in mental health units and emergency departments, patient violence and aggression are rising in other hospital areas, including general medicine and surgery units, paediatrics and intensive care (Ferri et al., 2016; Liu et al., 2019). Outside the hospital, episodes of violence and assaults have been suffered in‐home nursing services by 50% of nurses during their carriers (Fujimoto et al., 2017) and community care by 36% of nurses (Fafliora et al., 2016), as well as in pre‐hospital, ambulance and rescue services by 41% of nurses (Coskun Cenk, 2019; Velden et al., 2015).
Given the spread and the impact of this phenomenon, many studies have analysed the consequences of violence against nurses involving both physical and psychological consequences such as anger, fear or anxiety, post‐traumatic stress disorder symptoms (Hong et al., 2021), guilt, acute stress, decreased productivity (Al‐Ghabeesh & Qattom, 2019b), reduced job satisfaction (Berlanda et al., 2019), increased intention to leave, lower quality of life and even death (Çam & Ustuner Top, 2021; Heslop et al., 2019). The effects of violence in the health care setting may extend to the organization of the local service and entire health systems affecting the quality of services themselves. Health care organizations also incur in higher costs related to decreased productivity, poor job satisfaction and increased turnover (Speroni et al., 2014). Additional costs also result from lawsuits, compensation, and loss of revenue resulting from the negative image caused by violence incidents (Gerberich, 2004; Wax et al., 2016).
Although many health organizations around the world have implemented ‘zero tolerance’ policies for aggressors and established guidelines for the prevention and management of workplace violence, these policies often do not appear to work effectively in real life (Beattie et al., 2020; Hassankhani & Soheili, 2017; Morphet et al., 2014).
The most frequent risk factors of violence and aggression events include the characteristics of patients and nurses (e.g., gender, age and educational level) (Dangal et al., 2018; Zhu et al., 2021), weaknesses in leadership development or corporate policy implementation (Somani et al., 2021), poor training of personnel in the management of violence events (Jakobsson et al., 2021) and in recognizing risk situations, inadequate patient assessment and inadequate patient observation protocols (Palese et al., 2020), lack of communication between staff and patients, and their families (Yang et al., 2018) and deficiencies in the physical safety of the environment or in safety procedures (Babiarczyk et al., 2019; Najafi et al., 2018; Somani et al., 2021). All these factors and failure to recognize and respond to warning signals increase the risk of aggression or violence (Somani et al., 2021).
The identification of predictors or warning signals would enable health care professionals and managers to prevent and manage situations that could trigger events of violence in the workplace (Morphet et al., 2019). Furthermore, spreading the culture and knowledge of this phenomenon among health care professionals, managers and the general population could help to prevent the incidence of these episodes and protect both health care professionals and health service users.
2. OBJECTIVES
To identify predictors of violence or aggression against nurses and undergraduate nursing students in different health care settings.
Secondary objectives:
Evaluate physical and psychosocial outcomes on nurses and undergraduate nursing students caused by violence or aggression and the economic and organizational consequences (unavailability and restoration of services).
Describe episodes of violence or aggression against nurses and nursing students in the community setting.
Scoping review question
What are the predictors of the violence or aggression against nurses and students in different work contexts that enable their prevention or management?
Secondary questions:
What are the physical and psychosocial outcomes on nurses and nursing students of violence or aggression and the economic and organizational consequences?
Which violence or aggression events against nurses and nursing students in the community are described in the literature?
3. METHODS
3.1. Study design
The present review was developed according to the Joanna Briggs Institute (JBI) guidelines for scoping reviews (M. Peters, Godfrey, et al., 2020). The scoping review methodology was further refined, and corresponding guidance was developed by a working group from JBI and the JBI Collaboration (JBIC) (Aromataris & Munn, 2020; Peters et al., 2015).
A research question was developed based on the PEO components: Population (types of participants), Exposure of interest (independent variable) and Outcome (dependent variable).
The PRISMA‐ScR statement for scoping reviews (Tricco et al., 2018) was used to ensure the transparency of the study selection process.
The inclusion criteria are described in Table 1.
TABLE 1.
Inclusion criteria
| Type of participants | Exposure (independent variable) | Outcomes (dependent variable) | Types of studies |
|---|---|---|---|
All studies, involving:
|
All studies where predictors of violence or aggression against nurses and nursing students were identified or assessed with different tools. Predictive factors included, but not limited to
|
Findings of violence or aggression against nurses or nursing students reported by the authors have been included in the review. The most interesting specific results were found in the studies including verbal abuse, psychological abuse, physical abuse, threats, intimidation, physical assaults, horizontal violence and various forms of bullying, in work‐related circumstances, carried out by users, family members or other healthcare professionals. The review included studies documenting outcomes on nurses and/or nursing students caused by
|
A wide range of study designs was considered appropriate to be as comprehensive as possible and to include the most significant number of studies for this review.
|
3.2. Search strategies
3.2.1. Electronic databases
Based on the review question, six databases were searched: APA PsycInfo, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane, Ovid Medline, PubMed and Scopus. Since no similar reviews were found, no time limit was set. Only papers in English and Italian were included.
The search terms were identified through the conceptual analysis conducted by Ventura‐Madangeng and Wilson (2009) and a further research of the literature.
The initial search strategy was as comprehensive as possible to include the largest number of studies, which were then gradually reduced based on the inclusion and exclusion criteria. Specific search strategies were adopted for each database. Table 2 shows the search concepts according to the PEO method and the keywords. The terms included synonyms or specific terms according to each database. The terms were combined as subject headings and text words in APA PsycInfo, CINAHL, Cochrane, Ovid Medline, PubMed and Scopus. The study selection process included two phases:
An initial screening of titles, abstracts and keywords according to the inclusion and exclusion criteria. The papers were independently selected by four reviewers. Studies were excluded even if only one inclusion criterion was not met. All duplicates were removed.
Full texts eligible for inclusion were read and analysed.
An external expert in scoping reviews supervised the entire selection and analysis process. All the papers were separately examined by two researchers and in case of disagreement a third researcher was involved to reach an agreement. The reasons for the exclusion of the full texts were recorded to track the decisions that were taken.
TABLE 2.
Search concepts and keywords used (with appropriate Boolean operators)
| Population: Nurse/Nurse student | Exposure: violence predictors | Outcome: Consequences of workplace violence | |
|---|---|---|---|
|
Subject heading: In CINAHL: (‘nurses’ and ‘students, nursing’) In APA PsycInfo: (‘nurses’ and ‘nursing students’) In Medline: (‘nurses’ and ‘nursing students’) In PubMed, Cochrane: (‘Nurses’[Mesh] and ‘Students, Nursing’[Mesh]) |
Subject heading: In CINAHL: N/A In APA PsycInfo: N/A In Medline: N/A In PubMed, Cochrane: N/A |
Subject heading: In CINAHL: (‘Workplace Violence’) In APA PsycInfo: (‘Workplace Violence’) In Medline: (‘Workplace Violence’) In PubMed, Cochrane: (‘Workplace Violence’[Mesh]) |
Subject heading: In CINAHL: (‘costs’) In APA PsycInfo: (‘costs’) In Medline: (‘Workplace Violence’) In PubMed, Cochrane: (‘Costs and Cost Analysis’[Mesh]) |
|
Keywords: nurse a RN ‘registered nurse a ’ ‘nursing student a ’ ‘student nurse a ’ |
Keywords: predictor a Predicting antecedent a ‘risk factor a ’ ‘warning sign a ’ ‘warning factor a ’ ‘prediction sign a ’ ‘prediction factor a ’ ‘foreteller sing a ’ ‘foreteller factor a ’ foreshad a forewarn a sign a factor a harbinger a |
Keywords:‘workplace violence’ aggression a attack a violence a assault a hostility abuse a ‘physical aggression a ’ ‘physical attack a ’ ‘physical violence a ’ ‘physical assault a ’ ‘physical hostility’ ‘verbal aggression a ’ ‘verbal attack a ’ ‘verbal violence a ’ ‘verbal abuse a ’ ‘verbal assault a ’ intimidation a badgering bludgeoning deceive brainwash browbeat bulldoze bully a ‘horizontal violence’ ‘lateral violence’ coerce constrain domineer harass intimidate oblige oppress persecute press push subjugate torment tyrannize |
Keywords: cost a ‘financial impact’ ‘financial burden’ ‘economic impact’ ‘financial cost a ’ ‘economic cost a ’ ‘monetary cost a ’ ‘cost‐of‐illness’ ‘economic evaluation’ ‘illness cost a ’ ‘medical cost a ’ ‘health cost a ’ ‘sick leave’ ‘turnover’ policies policy procedure a ‘service interruption’ ‘reorganization of service’ ‘physical consequence a ’ ‘physical injurie a ’ ‘broken bone a ’ laceration a bruise a sprain backache a bite a wound a ‘sleep deprivation’ nausea headache a pain ‘emotional consequence a ’ ‘psychological consequence a ’ disbelief ‘power’ ‘autonomy’ stress ‘emotional exhaustion’ depersonalization ‘personal accomplishment’ burnout anger fear ‘self‐esteem’ ‘self‐confidence’ anxiety ‘self‐blame’ resentment shock embarrassment humiliation isolation ‘team cohesion’ |
Any group of characters, including no character.
3.3. Data extraction
A data extraction sheet was developed according to the JBI guidelines for scoping reviews (M. Peters, Godfrey, et al., 2020).
The following data were collected:
Study design/methodology, purpose/objectives, research questions/hypotheses, study context (setting), sample description, sample size, exposure, tools for measuring results, results, methods of data analysis (statistical analysis), conclusions, comments and issues raised.
Data were extracted separately by two researchers.
3.4. Data synthesis
The results of the included studies underwent narrative synthesis, using words and text to summarize and explain the results. Its form varied from a simple account and description of the characteristics of the study, to the context, the quality and the results. Tables were used to compare the characteristics of the studies and the extracted data (Soilemezi & Linceviciute, 2018).
4. RESULTS
4.1. Selection of the studies included in the review
A total of 15,523 records were initially identified after searching the databases. After titles and abstracts were screened, 121 papers underwent full text review. After reading the full texts, 87 papers were included in the current scoping review (see Figure 1, the PRISMA flow diagram).
FIGURE 1.

Flow diagram of the literature review process (PRISMA 2009)
4.2. Overview of the studies included in the review
Twenty‐eight studies were conducted in North America, 20 in Africa and the Middle East, 16 in Europe and 14 in Asia.
Of the studies included in the review, 59 analysed mainly the hospital setting and they involved all the departments (n = 31), the emergency room (n = 15), the psychiatric and mental health wards (n = 9), the operating room (n = 2), the medical and surgical departments (n = 1), the neonatal intensive care (n = 1) and in the trauma department (n = 1). Twenty‐four studies involved both hospital and community settings, of these 22 included various departments, and 2 were in mental health. Studies that exclusively analysed the community context, in the home care setting, were the least represented (n = 4). All the details regarding the context and sample characteristics of the included studies are shown in Table 3.
TABLE 3.
Context and sample characteristics of included studies
| Study reference | Country | Setting | Department | Sample description |
|---|---|---|---|---|
| Horizontal violence | ||||
| Al‐Ghabeesh and Qattom (2019b) | Jordan | Hospital | Emergency department | 120 ED nurses |
| Anusiewicz et al. (2020) | USA | Hospital | Various departments |
15 hospital nurses |
| Bambi et al. (2014) | Italy | Hospital | Emergency, intensive care, operating room departments | 1202 ED, ICU, Operating Room nurses |
| Bambi et al. (2019) | Italy | Community and Hospital | Various departments | 930 hospital and community nurses |
| Bardakçı and Günüşen (2014) | Turkey | Hospital | Various departments | 284 hospital nurses |
| Blackstock et al. (2015) | Canada | Hospital | Various departments | 103 hospital nurses |
| Bloom (2019) | USA | Hospital | Various departments | 76 hospital nurses |
| Budin et al. (2013) | USA | Community and Hospital | Various departments | 1407 hospital and community nurses |
| Chatziioannidis et al. (2018) | Greece | Hospital | Neonatal Intensive Care | 233 neonatal intensive care nurses |
| Clarke et al. (2012) | Canada | Community and Hospital | Various departments | 674 nursing students |
| Difazio et al. (2019) | Russia | Community and Hospital | Various departments | 438 hospital and community nurses |
| Community and Hospital | Various departments | 998 community and hospital nurses | ||
| Favaro et al. (2021) | Canada | Community and Hospital | Various departments | 1080 hospital and community nurses |
| Fontes et al. (2018) | Brazil | Community and Hospital | Various departments | 419 hospital and community nurses |
| Hampton and Rayens (2019) | USA | Hospital | Various departments | 170 nursing leaders |
| Hartin et al. (2020) | Australia | Community and Hospital | Various departments | 70 hospital and community nurses |
| Higgins and MacIntosh (2010) | Canada | Hospital | Operating room | 10 operating room nurses |
| Kozakova et al. (2018) | Czech Republic | Hospital | Various departments | 456 hospital nurses |
| Laschinger and Grau (2012) | Canada | Community and Hospital | Mental Health | 165 Psychiatric mental health nurses |
| Laschinger and Grau (2012) | Canada | Community and Hospital | Various departments | 342 new graduate nurses |
| Laschinger et al. (2010) | Canada | Hospital | Various departments | 415 hospital nurses |
| Park and Choi (2020) | South Korea | Hospital | Various departments | 205 hospital nurses |
| Reknes et al. (2014) | Norway | Community and Hospital | Various departments | 2059 hospital and community nurses |
| Serafin and Czarkowska‐Pączek (2019) | Poland | Community and Hospital | Various departments | 404 hospital and community nurses |
| Yokoyama et al. (2016) | Japan | Community and Hospital | Various departments | 825 hospital and community nurses |
| Violence perpetrated by patients and family members or visitors | ||||
| Avander et al. (2016) | Sweden | Hospital | Trauma Department | 14 hospital nurses |
| Baby et al. (2014) | New Zealand | Community and Hospital | Mental Health | 14 Psychiatric mental health nurses |
| Basfr et al. (2019) | Saudi Arabia | Hospital | Mental Health | 310 Psychiatric mental health nurses |
| Bimenyimana et al. (2009) | South Africa | Hospital | Mental Health | 10 Psychiatric mental health nurses |
| Hospital | Various departments | 592 hospital nurses | ||
| Boafo and Hancock (2017) | Ghana | Hospital | Various departments | 92 hospital nurses |
| Estryn‐Behar et al. (2008) | Belgium, Germany, Finland, France, Italy, the Netherlands, Norway, Poland, Slovakia, UK | Community and Hospital | Various departments | 39 898 hospital and community nurses |
| Evers et al. (2002) | The Netherlands | Community | Nursing Homes | 551 community nurses |
| Farrell et al. (2014) | Australia | Community and Hospital | Various departments | 1495 hospital and community nurses |
| Franz et al. (2010) | Germany | Community | Various departments | 123 community nurses |
| Fujimoto et al. (2017) | Japan | Community | Mental Health | 94 Psychiatric mental health nurses |
| Galián Muñoz et al. (2014) | Spain | Hospital | Emergency department | 137 ED nurses |
| Gillespie et al. (2014) | USA | Hospital | Emergency department | 177 ED nurses |
| Grainger and Whiteford (1993) | Australia | Hospital | Mental Health | 717 incident report forms |
| Hahn et al. (2010) | Switzerland | Hospital | Various departments | 291 hospital nurses |
| Hamdan and Hamra (2017) | Israel | Hospital | Emergency department | 355 ED nurses |
| Hanohano (2017) | USA | Hospital | Mental Health | 131 Psychiatric mental health nurses |
| Havaei et al. (2020) | Canada | Community and Hospital | Various departments | 532 hospital and community nurses |
| Jenkins et al. (1998) | Ireland | Hospital | Emergency department | 233 ED nurses |
| Jeong and Kim (2018) | South Korea | Hospital | Emergency department | 246 ED nurses |
| Kobayashi et al. (2020) | Japan | Hospital | Mental Health | 599 Psychiatric mental health nurses |
| Kowalenko et al. (2013) | USA | Hospital | Emergency department | 117 ED nurses |
| Levin et al. (1998) | USA | Hospital | Emergency department | 22 ED nurses |
| Ogundipe et al. (2013) | Nigeria | Hospital | Emergency department | 81 ED nurses |
| Pinar and Ucmak (2011) | Turkey | Hospital | Various departments | 255 hospital nurses |
| Ramacciati et al. (2019) | Italy | Hospital | Emergency department | 816 ED nurses |
| Ray and Subich (1998) | USA | Hospital | Mental Health | 78 Psychiatric mental health nurses |
| Rodney (2000) | Australia | Community | Nursing Homes | 102 community nurses |
| Spelten et al. (2020) | Australia | Hospital | Emergency department | 18 ED nurses |
| Speroni et al. (2014) | USA | Hospital | Various departments | 762 hospital nurses |
| Tomagová et al. (2020) | Czech Republic | Hospital | Various departments | 526 hospital nurses |
| Wolf et al. (2017) | USA | Hospital | Emergency department | 16 ED nurses |
| Xing et al. (2015) | China | Hospital | Various departments | 398 hospital nurses |
| Yang et al. (2018) | China | Hospital | Mental Health | 290 hospital nurses |
| Zeng et al. (2013) | China | Hospital | Mental Health | 387 Psychiatric mental health nurses |
| Both bullying and violence perpetrated by patients and family members or visitors | ||||
| Abou‐ElWafa et al. (2014) |
Egypt |
Hospital | Emergency and Medicine departments | 134 ED nurses152 Internal medicine Department nurses |
| AbuAlRub et al. (2007) | Iraq | Hospital | Various departments | 116 hospital nurses |
| AbuAlRub and Al‐Asmar (2011) | Jordan | Hospital | Various departments | 422 hospital nurses |
| AbuAlRub and Al Khawaldeh (2014) | Jordan | Hospital | Various departments | 396 hospital nurses |
| Aksakal et al. (2015) | Turkey | Hospital | Various departments | 538 hospital nurses |
| Al‐Omari (2015) | Jordan | Hospital | Various departments | 486 hospital nurses |
| Alameddine et al. (2015) | Lebanon | Hospital | Various departments | 593 hospital nurses |
| Ceballos et al. (2020) | Brazil | Hospital | Emergency department | 80 hospital nurses |
| Çelik and Çelik (2007) | Turkey | Community and Hospital | Various departments | 622 hospital and community nurses |
| Cheung and Yip (2017) | Hong Kong | Hospital | Various departments | 850 hospital nurses |
| Ferri et al. (2016) | Italy | Hospital | Various departments | 125 hospital nurses |
| Hutton and Gates (2008) | USA | Hospital | Various departments | 145 hospital nurses |
| Jafree (2017) | Pakistan | Hospital | Various departments | 309 hospital nurses |
| Jaradat et al. (2016) | Palestine | Community and Hospital | Various departments | 343 hospital and community nurses |
| Lash et al. (2006) | Turkey | Hospital | Various departments | 73 nursing students |
| McKenna et al. (2003) | New Zealand | Community and Hospital | Various departments | 551 hospital and community nurses |
| Merecz et al. (2020) | Poland | Community and Hospital | Various departments | 413 hospital and community nurses |
| Nguluwe et al. (2016) | South Africa | Hospital | Mental Health | 13 Psychiatric mental health nurses |
| Pai and Lee (2011) | Taiwan | Community and Hospital | Various departments | 521 hospital and community nurses |
| Park et al. (2015) | South Korea | Hospital | Various departments | 970 hospital nurses |
| Peters et al. (2020) | USA | Hospital | Various departments | 279 hospital nurses |
| Read and Laschinger (2013) | Canada | Community and Hospital | Various departments | 342 new graduate nurses |
| Sakellaropoulos et al. (2011) | USA | Hospital | Operating room | 205 Nurse Anesthetists |
| Shi et al. (2017) | China | Hospital | Various departments | 696 hospital nurses |
| Williams (1996) | USA | Community and Hospital | Various departments | 345 hospital and community nurses |
| Wu et al. (2020) | China | Hospital | Various departments | 1517 hospital nurses |
| Yang et al. (2012) | USA | Hospital | Various departments | 176 hospital nurses |
Regarding the designs of the included studies, the cross‐sectional descriptive design was adopted by 75 studies, 11 studies had a qualitative design and one a mixed‐methods design (Table 4).
TABLE 4.
Designs of included studies (Total = 87)
| Methodology | Number of articles | % of articles |
|---|---|---|
| Quantitative | 75 | 86.2 |
| Cross‐sectional descriptive design | 74 | 98.6 |
| Case report | 1 | 0.4 |
| Qualitative | 11 | 12.6 |
| Qualitative descriptive design | 9 | 81.8 |
| Qualitative phenomenological design | 1 | 9.1 |
| Qualitative historical design | 1 | 9.1 |
| Mixed methods | 1 | 1.2 |
| Total | 87 | 100 |
The population mainly included nurses (85 studies), and nursing students (2 studies). All studies had higher percentages of female nurses or students (range = 58%–100%) except for the study by Xing. Nurses' work experience ranged between 1–23 years. The percentage of nurses with a diploma or (bachelor's) degree ranged between 38% and 93%. The Negative Act Questionnaire (NAQ) and the Workplace Violence in the Health Sector‐Country Case Study (WHO tool) to detect bullying and violent incidents were used in four studies.
4.3. Risk factors of violence
The forms of violence suffered by nurses and nursing students reported in the included studies are divided into horizontal violence perpetrated by professional co‐workers or by other students and clinical instructors (including different forms of bullying and mobbing), and violence perpetrated by patients, family members, visitors or informal caregivers. Table 5 shows in detail all the risk factors of WPV reported in the included studies.
TABLE 5.
Risk factors of workplace violence reported in included studies
| Risk factors of horizontal violence suffered by nurses | References | |
|---|---|---|
| Personal factors | ||
|
|
Anusiewicz et al. (2020) Ferri et al. (2016) Park et al. (2015) Sakellaropoulos et al. (2011) Serafin and Czarkowska‐Pączek (2019) |
|
Chatziioannnidis et al. (2018) Difazio et al. (2019) Favaro et al. (2021) Jaradat et al. (2016) Nguluwe et al. (2016) |
|
|
|
Jaradat et al. (2016) |
|
Budin et al. (2013) | |
|
|
Favaro et al. (2021) |
|
Bambi et al. (2019) Cheung and Yip (2017) Pai and Lee (2011) |
|
|
Hartin et al. (2020) Bardakçi and Günüşen (2014) |
|
|
|
Bambi et al. (2014) Bardakçi and Günüşen (2014) |
|
Bloom (2019) Favaro et al. (2021) Reknes et al. (2014) |
|
|
Al‐Ghabeesh and Qattom (2019b) Chatziioannnidis et al. (2018) Higgins and MacIntosh (2010) Yokoyama et al. (2016) |
|
| Environmental and organizational factors | ||
|
Favaro et al. (2021) Fontes et al. (2018) Hampton and Rayens (2019) Laschinger et al. (2010) Laschinger and Grau (2012) Peters et al. (2020) |
|
|
Bloom (2019) Fontes et al. (2018) Yokoyama et al. (2016) |
|
|
Blackstock et al. (2015) |
|
|
AbuAlRub et al. (2007) AbuAlRub and Al‐Asmar (2011) Anusiewicz et al. (2020) Hartin et al. (2020) Kozakova et al. (2018) Serafin and Czarkowska‐Pączek (2019) Yokoyama et al. (2016) |
|
|
Bambi et al. (2019) Bloom (2019) Cheung and Yip (2017) |
|
|
Hartin et al. (2020) | |
|
Hartin et al. (2020) Serafin and Czarkowska‐Pączek (2019) |
|
|
Bambi et al. (2014) Bambi et al. (2019) Budin et al. (2013) |
|
|
Park and Choi (2020) Reknes et al. (2014) |
|
|
Favaro et al. (2021) Laschinger et al. (2010) Yokoyama et al. (2016) |
|
|
Laschinger and Grau (2012) Read and Laschinger (2013) Yokoyama et al. (2016) |
|
| Risk factors of horizontal violence suffered by nursing students | References | |
|---|---|---|
| Personal factors | ||
|
|
Grainger and Whiteford (1993) Lash et al. (2006) |
|
|
Jafree (2017) |
|
|
Jafree (2017) |
|
|
Jafree (2017) |
| Environmental and organizational factors | ||
|
Grainger (1993) Jafree (2017) | |
| Risk factors of violence suffered by nurses perpetrated by patients, family members or visitors | References | |
|---|---|---|
| Personal factors | ||
|
|
Ferri et al. (2016) Cheung and Yip (2017) Merecz et al. (2020) Boafo and Hancock (2017) Grainger and Whiteford (1993) Ramacciati et al. (2019) Tomagová et al. (2020) Xing et al. (2015) |
|
Al‐Omari (2015) | |
|
Alameddine et al. (2015) Jaradat et al. (2016) Yang et al. (2018) Zeng et al. (2013) |
|
|
|
Boafo and Hancock (2017) Cheung and Yip (2017) Evers et al. (2002) Hahn et al. (2010) Kobayashi et al. (2020) Park et al. (2015) Sakellaropoulos et al. (2011) Yang et al. (2012) |
|
Xing et al. (2015) Ramacciati et al. (2019) |
|
|
Nguluwe et al. (2016) |
|
|
|
Al‐Omari (2015) Celik and Çelik (2007) Tomagová et al. (2020) |
|
Ceballos et al. (2020) Fujimoto et al. (2017) Galián Muñoz et al. (2014) Hahn et al. (2010) |
|
|
Cheung and Yip (2017) Hahn et al. (2010) Kowalenko et al. (2013) Zeng et al. (2013) |
|
|
Hamdan and Hamra (2017) Christopher (1998) Wolf et al. (2017) |
|
|
AbuAlRub and Al Khawaldeh (2014) Nguluwe et al. (2016) Yang et al. (2018) |
|
| Environmental and organizational factors | ||
|
Basfr et al. (2019) Bimenyimana et al. (2009) Grainger and Whiteford (1993) Ogundipe et al. (2013) Yang et al. (2018) |
|
|
|
Estryn‐Behar et al. (2008) Farrell et al. (2014) Ferri et al. (2016) Hahn et al. (2010) Jenkins et al. (1998) Jeong and Kim (2018) Pinar and Ucmak (2011) Ramacciati et al. (2019) Speroni et al. (2014) Tomagová et al. (2020) Williams (1996) |
|
Estryn‐Behar et al. (2008) Farrell et al. (2014) Ferri et al. (2016) Franz et al. (2010) Yang et al. (2018) |
|
|
Estryn‐Behar et al. (2008) Farrell et al. (2014) Ferri et al. (2016) Hahn et al. (2010) |
|
|
Franz et al. (2010) Williams (1996) |
|
|
Abou‐ElWafa et al. (2014) Aksakal et al. (2015) Alameddine et al. (2015) Basfr et al. (2019) Ceballos et al. (2020) Cheung and Yip (2017) Estryn‐Behar et al. (2008) Farrell et al. (2014) Ferri et al. (2016) Grainger and Whiteford (1993) Hanohano (2017) Pai and Lee (2011) Yang et al. (2018) Zeng et al. (2013) |
|
|
Estryn‐Behar et al. (2008) Evers et al. (2002) Hanohano (2017) Jafree (2017) Yang et al. (2012) |
|
|
Havaei et al. (2020) Wu et al. (2020) |
|
|
Cheung and Yip (2017) Gillespie et al. (2014) Hahn et al. (2010) Hutton and Gates (2008) Speroni et al. (2014) Xing et al. (2015) |
|
|
Basfr et al. (2019) Gillespie et al. (2014) Hamdan and Hamra (2017) Levin et al. (1998) Kowalenko et al. (2013) Ogundipe et al. (2013) Yang et al. (2018) |
|
|
Basfr et al. (2019) Hamdan and Hamra (2017) Ogundipe et al. (2013) Yang et al. (2018) |
|
|
AbuAlRub et al. (2007) AbuAlRub and Al Khawaldeh (2014) Alameddine et al. (2015) Gillespie et al. (2014) Xing et al. (2015) |
|
|
Jenkins et al. (1998) Levin et al. (1998) Merecz et al. (2020) Ogundipe et al. (2013) |
|
| Characteristics of the perpetrators | ||
|
Avander et al. (2016) Baby et al. (2014) Ferri et al. (2016) Hamdan and Hamra (2017) Nguluwe et al. (2016) Ogundipe et al. (2013) Spelten et al. (2020) Speroni et al. (2014) |
|
|
Baby et al. (2014) Bimenyimana et al. (2009) Levin et al. (1998) Spelten et al. (2020) Yang et al. (2018) Cheung and Yip (2017) |
|
|
Speroni et al. (2014) Nguluwe et al. (2016) |
|
|
Hamdan and Hamra (2017) |
|
|
Hamdan and Hamra (2017) Christopher (1998) Pai and Lee (2011) Shi et al. (2017) |
|
|
AbuAlRub and Al‐Asmar (2011) Rodney (2000) |
|
|
Gillespie et al. (2014) Hamdan and Hamra (2017) Pai and Lee (2011) Speroni et al. (2014) |
|
| Risk factors of violence suffered by nursing students perpetrated by patients, family members or visitors | References | |
|---|---|---|
| Personal factors | ||
|
|
Grainger and Whiteford (1993) Lash et al. (2006) |
|
|
Jafree (2017) |
|
|
Jafree (2017) |
| Environmental and organizational factors | ||
|
Lash et al. (2006) | |
|
Grainger (1993) | |
|
Grainger (1993) | |
|
Jafree (2017) | |
| Characteristics of the perpetrators | ||
|
Lash et al. (2006) |
|
|
Grainger (1993) Jafree (2017) |
|
4.3.1. Risk factors of horizontal violence suffered by nurses
Horizontal violence factors can be divided into personal and environmental/organizational factors.
Personal factors
Contrasting findings were reported with regard to nurses' gender; in some studies ‘being a male nurse’ was reported as a predictor (Chatziioannidis et al., 2018; Jaradat et al., 2016), whereas in others, ‘being a female nurse’ was considered a predictor (Anusiewicz et al., 2020; Park et al., 2015). In addition, being a young nurse (Bloom, 2019; Favaro et al., 2021; Reknes et al., 2014) or having few years of experience in the current workplace (Al‐Ghabeesh & Qattom, 2019b; Chatziioannidis et al., 2018; Higgins & MacIntosh, 2010; Yokoyama et al., 2016) were described as factors related to the risk of being bullied. On the contrary, other authors found that a work experience of <5 years was a factor that protected nurses from horizontal violence (Bambi et al., 2019; Bardakçı & Günüşen, 2014).
Environmental and organizational factors
These factors included situation‐ or task‐oriented leadership, rigid hierarchical structures (Favaro et al., 2021; Fontes et al., 2018; Hampton & Rayens, 2019; Laschinger & Grau, 2012; Laschinger et al., 2010; A. Peters, El‐Ghaziri, et al., 2020), informal organizational alliances (i.e., covert coalitions of bullies) and the consequent abuse of organizational procedures (Blackstock et al., 2015). Furthermore, several studies identified the increase in workload and understaffing, pressure placed on workers (AbuAlRub et al., 2007; AbuAlRub & Al‐Asmar, 2011; Anusiewicz et al., 2020; Hartin et al., 2020; Kozakova et al., 2018; Serafin & Czarkowska‐Pączek, 2019; Yokoyama et al., 2016) and high levels of stress (Bambi et al., 2019; Bloom, 2019; Cheung & Yip, 2017) as factors facilitating mobbing or bullying. Numerous authors identified structural empowerment and authentic leadership as protective factors against bullying in the workplace with a statistically significant negative correlation between these variables (Favaro et al., 2021; Laschinger et al., 2010; Laschinger & Grau, 2012; Read & Laschinger, 2013; Yokoyama et al., 2016).
4.3.2. Risk factors of horizontal violence suffered by nursing students
Personal factors
‘Being female’ is reported as a predictor of bullying for nursing students by Grainger and Whiteford (1993) and Lash et al. (2006). According to Jafree (2017), having an age between 20 and 29 years, single marital status, and following the Muslim religion are predictors of horizontal violence.
Environmental and organizational factors
Attending clinical internship during the day shifts is reported as a predictor of horizontal violence for students by Grainger and Whiteford (1993) and Jafree (2017).
4.3.3. Risk factors of violence suffered by nurses perpetrated by patients, family members or visitors
These include personal factors, environmental/organizational factors and characteristics of aggressors.
Personal factors
Gender of health workers is controversially identified as a factor that increases the risk of suffering violence. In some studies, ‘male gender’ was associated with a higher risk of suffering WPV (Alameddine et al., 2015; Jaradat et al., 2016; Yang et al., 2018; Zeng et al., 2013), while, according to other studies, this risk was associated with ‘female gender’ (Boafo & Hancock, 2017; Cheung & Yip, 2017; Ferri et al., 2016; Grainger & Whiteford, 1993; Merecz et al., 2020; Ramacciati et al., 2019; Tomagová et al., 2020; Xing et al., 2015). Instead, according to Al‐Omari (2015), being a female protects from violence. Another factor is younger age. Several studies found that those aged <35 years were most at risk (Boafo & Hancock, 2017; Cheung & Yip, 2017; Evers et al., 2002; Hahn et al., 2010; Kobayashi et al., 2020; Park & Choi, 2020; Sakellaropoulos et al., 2011; Yang et al., 2012). In particular, being younger than one's patients was another factor that increases the risk of suffering violence (Nguluwe et al., 2016). Other authors identified the 30‐to 39‐year age group (Ramacciati et al., 2019; Xing et al., 2015) as the one most at risk. Also, having a bachelor's degree or higher educational level has identified as predictor of WPV (Cheung & Yip, 2017; Hahn et al., 2010; Kowalenko et al., 2013; Zeng et al., 2013).
Work experience was also identified as a predictor of WPV. Controversially, some authors found that having <5 years of service increased the risk of suffering violence (Al‐Omari, 2015; Çelik & Çelik, 2007; Tomagová et al., 2020), while for others this was higher in those with a career of >5 years (Ceballos et al., 2020; Fujimoto et al., 2017; Galián Muñoz et al., 2014; Hahn et al., 2010).
Environmental and organizational factors
Many studies have identified several departments as risk factors for WPV. Working in emergency departments (Estryn‐Behar et al., 2008; Farrell et al., 2014; Ferri et al., 2016; Hahn et al., 2010; Jenkins et al., 1998; Jeong & Kim, 2018; Pinar & Ucmak, 2011; Ramacciati et al., 2019; Speroni et al., 2014; Tomagová et al., 2020; Williams, 1996), psychiatric settings (Estryn‐Behar et al., 2008; Farrell et al., 2014; Ferri et al., 2016; Franz et al., 2010; Yang et al., 2018), geriatric settings (Estryn‐Behar et al., 2008; Farrell et al., 2014; Ferri et al., 2016; Hahn et al., 2010) or in nursing homes and long‐term care (Franz et al., 2010; Williams, 1996) expose nurses to a greater risk of violence. Various working organizational aspects and having scarce resources are identified as risk factors for WPV: inadequate staffing levels (Basfr et al., 2019; Bimenyimana et al., 2009; Grainger & Whiteford, 1993; Ogundipe et al., 2013; Yang et al., 2018), high workload, time pressure and physical load (Estryn‐Behar et al., 2008; Evers et al., 2002; Hanohano, 2017; Jafree, 2017; Yang et al., 2012). The type of job contract is another predisposing factor. Working full‐time and in shifts was associated with a higher risk of violence (Abou‐ElWafa et al., 2014; Aksakal et al., 2015; Alameddine et al., 2015; Basfr et al., 2019; Ceballos et al., 2020; Cheung & Yip, 2017; Estryn‐Behar et al., 2008; Farrell et al., 2014; Ferri et al., 2016; Grainger & Whiteford, 1993; Hanohano, 2017; Pai & Lee, 2011; Yang et al., 2018; Zeng et al., 2013). Another predisposing factor of violence is long waiting times for patients, especially in the emergency department (Basfr et al., 2019; Gillespie et al., 2014; Hamdan & Hamra, 2017; Kowalenko et al., 2013; Levin et al., 1998; Ogundipe et al., 2013; Yang et al., 2018).
Characteristics of violence perpetrators
Nurses caring for patients suffering from psychiatric disorders or advanced dementias both in the community and in the hospital, report higher rates of physical and verbal violence (Nguluwe et al., 2016; Speroni et al., 2014). Alcohol or drug abuse by patients (Avander et al., 2016; Baby et al., 2014; Ferri et al., 2016; Hamdan & Hamra, 2017; Nguluwe et al., 2016; Ogundipe et al., 2013; Spelten et al., 2020; Speroni et al., 2014) and their mental status and clinical conditions (Baby et al., 2014; Bimenyimana et al., 2009; Cheung & Yip, 2017; Levin et al., 1998; Spelten et al., 2020; Yang et al., 2018), as well as aggressive patients' behaviors (AbuAlRub & Al‐Asmar, 2011; Rodney, 2000), expose nurses to a higher risk of violence.
4.3.4. Risk factors of violence suffered by nursing students perpetrated by patients, family members or visitors
Personal factors
‘Being female’ (Grainger & Whiteford, 1993; Lash et al., 2006), having an age range of 20–29 years and being single (Jafree, 2017) increase the risk of suffering violence among nursing students.
Environmental and organizational factors
Being in the least knowledgeable and with the least decisional power (Lash et al., 2006) together with being present when a patient refuses a request (Grainger & Whiteford, 1993) are seen as environmental and organizational predictors of violence. Also, internships in psychiatric wards (Grainger & Whiteford, 1993) or the emergency room (Jafree, 2017) are other risk factors.
Characteristics of perpetrators
Usually, the perpetrators of violence towards nursing students are either inexperienced clinical instructors (Lash et al., 2006) or patients with aggressive behaviours (Grainger & Whiteford, 1993; Jafree, 2017).
4.4. Consequences of violence
The consequences of workplace violence suffered by nurses and nursing students reported in the included studies are divided into ‘Professional life’ and ‘Emotional and psychological wellbeing’ for horizontal violence, together with ‘Physical consequences’ and ‘Consequences for the work environment, damage and costs’ for violence perpetrated by patients and visitors. Table 6 shows details of WPV consequences.
TABLE 6.
Consequences of workplace violence reported in included studies
| Consequences of horizontal violence suffered by nurses | References |
|---|---|
| Professional life | |
|
Al‐Ghabeesh and Qattom (2019b) |
|
Çelik and Çelik (2007) |
|
Park and Choi (2020) |
|
Hartin et al. (2020) |
| Emotional and psychological wellbeing | |
|
Bambi et al. (2014) Blackstock et al. (2015) Favaro et al. (2021) Fontes et al. (2018) Kozakova et al. (2018) |
|
Laschinger et al. (2010) |
|
Bambi et al. (2014) |
|
Chatziioannidis et al. (2018) |
|
Laschinger et al. (2010) |
|
Bambi et al. (2014) Difazio et al. (2019) |
| Consequences of horizontal violence suffered by nursing students | References |
|---|---|
| Professional life | |
|
Clarke et al. (2012) |
|
Lash et al. (2006) |
|
Clarke et al. (2012) |
| Emotional and psychological wellbeing | |
|
Lash et al. (2006) |
| Consequences of violence suffered by nurses perpetrated by patients, family members or visitors | References |
|---|---|
| Professional life | |
|
AbuAlRub and Al Khawaldeh (2014) AbuAlRub and Al‐Asmar (2011) Al‐Omari (2015) Galian‐Munoz et al. (2014) Jaradat et al. (2016) Kobayashi et al. (2020) Merecz et al. (2020) |
|
Bimenyimana et al. (2009) |
|
Park et al. (2015) Ramacciati et al. (2019) |
|
Al‐Omari (2015) Jafree (2017) Tomagová et al. (2020) |
|
Ogundipe et al. (2013) |
|
Hamdan and Hamra (2017) |
|
AbuAlRub and Al Khawaldeh (2014) Jenkins et al. (1998) Speroni et al. (2014) Xing et al. (2015) |
|
Bimenyimana et al. (2009) Hutton and Gates (2008) Ogundipe et al. (2013) Pinar and Ucmak (2011) |
| Emotional and psychological wellbeing | |
|
Farrell et al. (2014) Basfr et al. (2019) McKenna et al. (2003) Nguluwe et al. (2016) Pinar and Ucmak (2011) |
|
Galian‐Munoz et al. (2014) Nguluwe et al. (2016) Yang et al. (2018) Bimenyimana et al. (2009) |
|
Wu et al. (2020) Yang et al. (2018) Bimenyimana et al. (2009) Franz et al. (2010) |
|
Bambi et al. (2019) Levin et al. (1998) Ogundipe et al. (2013) |
|
Bambi et al. (2019) |
|
Bimenyimana et al. (2009) |
|
McKenna et al. (2003) |
| Physical consequences | |
|
Yang et al. (2018) |
|
Baby et al. (2014) Levin et al. (1998) Nguluwe et al. (2016) Yang et al. (2018) |
|
Franz et al. (2010) Speroni et al. (2014) |
|
AbuAlRub et al. (2007) |
| Consequences for the work environment, damages and costs | |
|
Gillespie et al. (2014) |
|
Galian‐Munoz et al. (2014) |
|
Favaro et al. (2021) |
|
Favaro et al. (2021) Speroni et al. (2014) |
|
AbuAlRub et al. (2007) |
|
Hutton and Gates (2008) |
| Consequences of violence suffered by nursing students perpetrated by patients, family members or visitors | References |
|---|---|
| Professional life | |
|
Clarke et al. (2012) |
| Emotional and psychological wellbeing | |
|
Clarke et al. (2012) |
|
Lash et al. (2006) |
4.4.1. Consequences of horizontal violence suffered by professional nurses
Professional life
The most frequent consequence is the increasing intention to change workplace or to leave the nursing profession (Bambi et al., 2014; Blackstock et al., 2015; Favaro et al., 2021; Fontes et al., 2018; Kozakova et al., 2018).
Emotional and psychological wellbeing
At the same time the increasing of impulsiveness, anxiety and depression is the most frequent emotional and psychological consequence (Bambi et al., 2014; Blackstock et al., 2015; Favaro et al., 2021; Fontes et al., 2018).
4.4.2. Consequences of horizontal violence suffered by nursing students
Professional life
The most frequent consequences for nursing students of horizontal violence are the intention to leave the nursing programme (Clarke et al., 2012), the increased rates of absenteeism from internship placement (Lash et al., 2006).
Emotional and psychological wellbeing
The most frequently reported physical and emotional consequences are headache, loss of appetite and difficulty falling asleep (Lash et al., 2006).
4.4.3. Consequences of violence suffered by nurses perpetrated by patients, family members or visitors
Professional life
The most frequent consequences suffered by professional nurses of violence perpetrated by patients are poor job satisfaction (AbuAlRub & Al Khawaldeh, 2014; AbuAlRub & Al‐Asmar, 2011; Al‐Omari, 2015; Galián Muñoz et al., 2014; Jaradat et al., 2016; Kobayashi et al., 2020; Merecz et al., 2020), increased absence from work (AbuAlRub & Al Khawaldeh, 2014; Jenkins et al., 1998; Speroni et al., 2014; Xing et al., 2015) and increased intention to change workplace and leave the profession (Bimenyimana et al., 2009; Hutton & Gates, 2008; Ogundipe et al., 2013; Pinar & Ucmak, 2011).
Emotional and psychological wellbeing
Stress and burnout due to violence perpetrated by patients, family members or visitors (Bimenyimana et al., 2009; Franz et al., 2010; Gillespie et al., 2014; Wu et al., 2020; Yang et al., 2018).
Physical consequences
The most common physical consequences are lacerations, musculoskeletal injuries, fractures, physical disability, chronic pain and head injuries (Baby et al., 2014; Levin et al., 1998; Nguluwe et al., 2016; Yang et al., 2018).
Consequences for the work environment, damage and costs
The consequences for the workplace environment range from damage to the furniture (Gillespie et al., 2014), tools and structures of health care facilities (Galian‐Munoz et al., 2014). The physical consequences of the violent events also have economic repercussions in terms of loss of regular salary, cost of medical care and long‐term leave from work for the recovery process (Favaro et al., 2021). WPV episodes increase staff turnover with a cost of up to $ 337,500; this leads to inability to hire, generating a toxic work environment and a lack of loyalty and cooperation (AbuAlRub et al., 2007). In a study conducted in the USA, the decrease in productivity was approximately $ 1300 for each nurse that experienced violence (Hutton & Gates, 2008).
4.4.4. Consequences of violence suffered by nursing students perpetrated by patients, family members or visitors
Professional life
Consequences for students due to violence perpetrated by patients reported by the studies included in our review involve the increasing rates of absenteeism from internship placements (Clarke et al., 2012).
Emotional and psychological wellbeing
Studies reveal disturbing memories and negative thoughts (Clarke et al., 2012), loss of self‐esteem and sense of helplessness (Lash et al., 2006) as the main emotional and psychological consequences for nursing students.
5. DISCUSSION
The phenomenon of workplace violence is widespread and documented worldwide. The literature describes violence mainly in hospital settings and in emergency rooms but also in community services and in various hospital departments. The present review enabled to identify several risk factors of WPV.
5.1. Risk factors and consequences of horizontal violence
Horizontal violence is facilitated by specific personal factors of victims such as gender, age educational level and work experience. A way to promote integration and respect among professionals and prevent horizontal violence could be creating teams of nurses that have a good balance in terms of gender, age, a mix of work experience and skills to achieve common goals and greater autonomy (Edmonson & Zelonka, 2019).
Several environmental and organizational factors, such as poor nurse manager skills, rigid and hierarchical structures, understaffing, high levels of stress, shift work and unhealthy competition between professionals have been reported as additional risk factors for horizontal violence. The replacement of the current situation‐oriented or task‐oriented leadership with structural empowerment processes (Goedhart et al., 2017) aimed at achieving goals through access to information, support, resources and opportunities (Moura et al., 2020) can reduce bullying and mobbing. Furthermore, constant organizational changes and staff shortages increase nurses' stress levels. High levels of stress and job dissatisfaction, as well as leading to adverse patient outcomes (Bloom, 2019; Brooks Carthon et al., 2021; Schlak et al., 2021), create a favourable substrate for horizontal violence.
Nursing students suffer from WPV, too. Likewise, the students' personal factors such as gender, age, marital status and religion have been identified as risk factors of horizontal violence. In order to prevent the bullying of students, faculty members should acknowledge the inherent vulnerability of learners, their personal risk factors and also reflect on their own communication practices and how these impact on learners (Seibel & Fehr, 2018).
5.2. Risk factors and consequences of violence perpetrated by patients or family members
In many studies included in this review, victims' personal characteristics such as gender, age, work experience and educational level, are reported to be risk factors for violence perpetrated by patients or family members. Limited professional experience not underpinned by appropriate communication skills, combined with inability to anticipate patient needs (Bottega & Palese, 2020), do not enable to notice the initial signs of aggression and consequently prevent it. Other studies have shown that specific interventions aimed at raising nurses' awareness about risk factors, such as young age and limited experience, are essential in reducing aggressive behaviors in patients and their families (Hill et al., 2015; Shi et al., 2017).
Organizational and environmental factors are the most frequently reported risk factors of violence perpetrated by patients. In particular, the emergency department is the setting where WPV is reported to occur by most studies. Understaffing and high workloads are reported as the most frequent risk factors for WPV. Staff shortages that have persisted for decades in hospitals have dramatically worsened over the past 2 years due to the COVID‐19 pandemic. Patient‐to‐nurse ratios vary widely in hospitals, and when nurses have to care for an excessively high number of patients, the chances of causing harm to patients are high (Khera et al., 2021; Lasater et al., 2021). For this reason, the phenomenon of assaults perpetrated by patients may have increased in this period due to the critical shortage of nurses and the increased workload.
Long waiting times in the emergency department (Morphet et al., 2014) associated with patients' unrealistic expectations has also been described as a major risk factor of physical and verbal aggression. In these cases, waiting time management strategies providing timely information and assistance to users, and specific education programmes for emergency personnel, could reduce the cases of aggression (Gillespie et al., 2014; Touzet et al., 2019). The lack of protocols and policies for the management and prevention of violence, the absence of dedicated communication channels and specific means to inform managers and administrators about episodes of violence are described by several studies (Babiarczyk et al., 2019; Jenkins et al., 1998). These shortcomings often occur in contexts where the incidence of violence against nurses is high (Cannavo et al., 2019). In addition, characteristics of the perpetrators, such as their mental status, clinical conditions and alcohol or drug abuse, have been identified as common risk factors of WPV. Greater awareness of the role played by these characteristics in WPV and advanced skills that enable to adequately approach these types of patients could help to predict, prevent, or limit the development of aggressive behaviors (Liu et al., 2019).
Nursing students also suffer violence perpetrated by patients and their families. Likewise, personal characteristics (e.g., gender, age and marital status) and organizational factors (e.g., attending emergency department internship) have been identified as risk factors. Teachers and clinical preceptors have a great responsibility in ensuring a safe learning environment. When personal characteristics and organizational and environmental factors are recognized as risk factors, they must be considered, together with the inherent vulnerability of learners, so that actions that protect students during their clinical learning programme are in place (Seibel & Fehr, 2018; Tee et al., 2016).
The consequences of WPV impact specifically on individual nurses, and generally on the health organization. These affect the quality of care provided, professional life and the emotional, psychophysical and physical well‐being of nurses and nursing students. Physical and verbal assaults are related to burnout in each of its three dimensions (Laschinger et al., 2010; Wu et al., 2020; Yang et al., 2018). In this regard, the availability of follow‐up programmes for WPV victims, counselling and discussion with hospital administrators have been found to reduce emotional exhaustion and depersonalization, and increase personal accomplishment (Vincent‐Höper et al., 2020). In addition, burnout generated by violence reduces nurses' level of attention when providing care (Al‐Ghabeesh & Qattom, 2019a), increasing the likelihood of errors and putting patients' safety and health at risk. On the other side, the poor quality of the care is perceived negatively by patients, who may not feel actively involved and receive unsatisfactory responses to their needs due to distracted nursing care.
5.3. Economic consequences of workplace violence
Very few studies examined the economic consequences of violence but showed how costs incurred by health institutions rise significantly due to compensation measures for professionals who become victims of violence, their reintegration into the workplace and increased turnover. As in other studies (Jeong & Kim, 2018; Olsen et al., 2017), workplace violence is a significant cause of turnover intent. Constant turnover is an impediment to effective teamwork and cohesion among colleagues, or even worse, it may reinforce any negative attitudes that may harbour in senior staff (Van Bogaert et al., 2017). Furthermore, some consequences of violence, such as burnout, depersonalization and physical harm, also increase intention of turnover and intention to leave the profession that can lead to enormous costs for the health care organizations that have to cope with this phenomenon.
5.4. Preventing and managing workplace violence
Nurse leaders are in the position to promote a culture of safety that prioritizes the health, safety and wellbeing of their staff, patients and visitors. Health managers should promote policies that refuse violence as an inevitable part of professional practice and allocate resources for the prevention and management of violence and bullying (Johnson et al., 2018; Pariona‐Cabrera et al., 2020). Some studies identified strategies to manage and prevent WPV episodes at different levels. For instance, allocating considerable funds to the prevention and management of WPV (Morphet et al., 2019), increasing staff numbers to prevent and manage WPV (Morphet et al., 2018), developing guidance materials evidence‐based, focusing on education and training of staff to manage WPV (Geoffrion et al., 2020), implementing monitoring, responding and reporting systems (Burkoski et al., 2019; Ramacciati et al., 2021), sharing information between health services and other agencies and improving communication abilities (Collins, 2021) and implementing an effective security staff (Morphet et al., 2019).
6. CONCLUSIONS
The results of this review bring to light critical issues often left unaddressed, especially where episodes of violence are very frequent. WPV prevention and management programmes and proactive commitment are essential to reduce WPV and its consequences. Nursing leaders must explore and implement practices towards mitigating violence against nurses. Action research is needed to engage in a cycle of continuous improvement that supports eliminating violence in the health care sector.
Initiatives for the health and safety of nurses that establish objectives and responsibilities to monitor and curb WPV, and reports describing the outcomes of the measures adopted to prevent and manage episodes of violence should be on the agenda of every health administration. There is sufficient evidence for nurse managers to ensure that nurses and all health care professionals feel protected and safeguarded from verbal or physical abuse, and work in environments that ensure maximum safety for everyone.
6.1. Limitations
This review included papers about WPV suffered by nurses and nursing students excluding other health professions. Despite the inclusion criteria for this study being wide, limitations can be found in language restrictions (English and Italian) that may have excluded significant studies written in other languages. Most of the studies included in this review were from the North American Continent and Europe, which limits the generalizability of our conclusions.
6.2. Implications for nursing management
The predictors and consequences of WPV identified through this review constitute the body of knowledge necessary for nurse managers to develop and implement actions to manage or prevent WPV effectively.
Therefore, there is sufficient evidence for nurse managers to contribute to the development of a positive safety culture and awareness, putting at its centre the health, safety and wellbeing of health personnel, patients and visitors. Nurse managers must promote policies that decline violence as an inevitable part of nursing practice and invest resources to neutralize the onset of episodes of violence and transform it into an opportunity for professional and cultural development.
Evidence‐based management of violence can contribute to implementing actions that ensure a violence‐free working environment through permanent monitoring and reporting systems.
Furthermore, this message on the impact of WPV in health care must also be spread to a broader audience to promote and support change effectively.
CONFLICT OF INTEREST
The authors of this manuscript have no competing interests as defined by the editorial policy of Journal of Nursing Management. They moreover have no other interests that may have influenced the results and discussion of this paper.
ETHICS STATEMENT
Since this is a review of the literature, no ethics approval is required.
AUTHORS' CONTRIBUTIONS
Nicola Pagnucci: Conceptualization, Writing‐Original draft preparation.
Giulia Ottonello: Analysis, Writing‐Original draft preparation.
Davide Capponi: Analysis, visualization.
Gianluca Catania: Supervision of the review process.
Milko Zanini: Supervision of the analysis.
Giuseppe Aleo: Reviewing and editing final draft.
Fiona Timmins: Reviewing and editing final draft.
Loredana Sasso: Overall supervision.
Annamaria Bagnasco: Conceptualization and overall supervision.
ACKNOWLEDGEMENT
This research received no specific grant from any funding agency in the public, commercial or non‐profit sectors. Open Access Funding provided by Universita degli Studi di Genova within the CRUI‐CARE Agreement.
Pagnucci, N. , Ottonello, G. , Capponi, D. , Catania, G. , Zanini, M. , Aleo, G. , Timmins, F. , Sasso, L. , & Bagnasco, A. (2022). Predictors of events of violence or aggression against nurses in the workplace: A scoping review. Journal of Nursing Management, 30(6), 1724–1749. 10.1111/jonm.13635
DATA AVAILABILITY STATEMENT
Authors do not wish to share the data.
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