In youth ages 10 to 24 years, interpersonal violence was the fifth leading cause of disability-adjusted life years (DALYs) in 2004, accounting for 3.5 percent of all DALYs in this age group (Gore and others 2011). Unfortunately, few studies in LMICs examine the nonfatal consequences of youth violence. This research gap urgently requires filling.

Violence against Women

The prevalence of violence against women has been documented by Demographic and Health Surveys conducted in Sub-Saharan African countries (Cameroon, Kenya, Malawi, Rwanda, Uganda, Zambia, and Zimbabwe) and by Reproductive Health Surveys (RHS) conducted in Central and South American countries (Ecuador, El Salvador, Guatemala, Jamaica, Nicaragua, and Paraguay). In Sub-Saharan Africa, the DHS findings show that the prevalence of physical violence against women ranged from 30 percent in Malawi to 60 percent in Uganda, with most perpetrators being intimate partners; the prevalence of sexual and emotional violence by intimate partners was also high (Borwankar, Diallo, and Sommerfelt 2008). For Central and South America, RHS findings show prevalence of physical violence against women ranging from 17 percent in Jamaica to 31 percent in Ecuador (Bott and others 2012). Global and regional estimates of violence against women demonstrate that 35 percent of women worldwide have experienced physical or sexual violence (or both), and most of that violence was perpetrated by intimate partners (WHO 2013).

Violence against Elderly People

Elder maltreatment has been examined using population-based surveys and records from adult protective services. In surveys, 6.0 percent of older people reported significant abuse in the past month, and 5.6 percent of couples reported physical violence in their relationship in the past year (Cooper, Selwood, and Livingston 2008). In studies involving vulnerable elders in nursing or care homes, nearly 25 percent reported significant levels of psychological abuse. Rates of abuse reported to adult protective services are generally very low (1 percent to 2 percent).

Consequences of Interpersonal Violence

The consequences of experiencing interpersonal violence are pervasive and enduring. Evidence confirms that exposure to violence increases the risks of injuries, infectious diseases, mental health problems, reproductive health problems, and noncommunicable diseases (NCDs).

Cause of Physical or Psychological Injury

Although injury historically has been defined as an individual’s experience of physical damage, the definition has been expanded to include damage that is psychological, with the potential to lead to maldevelopment or deprivation (Norton and Kobusingye 2013). Whether they are physical or psychological, violence-associated injuries commonly go unrecognized and range from self-limiting to severe. Physical injuries include lacerations, bruises, wounds, fractures, broken teeth, ocular damage, burns, internal injuries, and head injuries. Such injuries, especially those associated with highly lethal means such as firearms, may lead to disability, including brain damage, amputations, or paralysis (Buchanan 2013).

Link to Infectious Diseases

The association between sexual and physical violence and infectious diseases, particularly sexually transmitted infections (STIs) and human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) is well supported. Evidence across multiple studies demonstrates that these associations are strong, largely consistent, graded, and biologically plausible (Andersson, Cockcroft, and Shea 2008Machtinger, Wilson, and others 2012). Emerging evidence suggests that violence may be associated with the transmission and progression of infections, increases in antiretroviral failure, high-risk behaviors, and an independently elevated risk of HIV/AIDS-associated death (Machtinger, Haberer, and others 2012). The importance of gender-based violence as a driver of HIV/AIDS in women is so prominent that multilateral donors such as UN Women view elimination of violence against women and children as a key strategy for advancing prevention (IOM 2013).

Increased Risk of Reproductive Problems

Multiple studies document the reproductive consequences of exposure to child maltreatment and IPV. These forms of violence are associated with unintended pregnancy and teen pregnancy, and they influence victims’ associated risk behaviors, such as multiple partners and early initiation of sexual activity (Hillis and others 2004). The intergenerational effects of exposure to childhood violence may be extreme. For example, violence against girls increases the future risk of adverse pregnancy outcomes, such as fetal death (Hillis and others 2004). In addition, mortality for young children is significantly higher when their mothers are victims of IPV (Silverman and others 2011). A review of studies from 17 LMICs shows that IPV leads to an increased prevalence of pregnancy-associated mental health disorders, such as postpartum depression, which impair a mother’s ability to provide a safe, stable, and nurturing environment for her children (Fisher and others 2012).

Increased Risk of Mental Health Problems

Globally, studies from high-, middle-, and low-income countries document that violent experiences lead to various mental health consequences. The WHO World Mental Health Survey findings from 21 countries demonstrate that violence during childhood is associated with mood, anxiety, behavior, and substance disorders, as well as suicidal behavior, during adulthood (Kessler and others 2010). Furthermore, studies involving 21,000 women from Asia, Sub-Saharan Africa, and Latin America and the Caribbean confirm strong associations between various forms of violence—including experiencing and witnessing IPV, nonpartner physical violence, and childhood sexual abuse—and suicides (Devries and others 2011).

Increased Risk of Future Violence

Exposure to violence during childhood increases the risk of experiencing or perpetrating violence later in life. Experiencing child maltreatment and witnessing partner abuse have consistently been shown to increase the risk of becoming either a perpetrator or a victim of sexual violence and IPV as an adult (Capaldi and others 2012Tharp and others 2012). This intergenerational effect of childhood violence increases the risk that men will become perpetrators and that women will become victims. An assessment of Reproductive Health Surveys in six countries in the Americas found that the proportion of women reporting IPV was more than twice as high for those who experienced sexual or physical abuse in childhood as for those who did not (Bott and others 2012).

Increased Risk to Special Populations

Although most reports addressing interpersonal violence focus on the general population, some recent studies have addressed infectious, reproductive, and mental health consequences of violence for children outside of family care, including street children, trafficked children, those affected by crises and armed conflict, and those living in institutions such as orphanages. For street children, studies from LMICs report HIV/AIDS seroprevalences of 40 percent and higher among those who experienced childhood violence, in contrast to general population prevalences of 1 percent (Kissin and others 2007Robbins and others 2010). Associations between violence and elevated risks of HIV/AIDS and STIs, pregnancy, psychiatric pathology, depression, anxiety, posttraumatic stress disorder, and suicide have been reported among victims of sex trafficking and armed conflict, as well as among those in orphanages (Reed and others 2012Silverman and others 2009Zapata and others 20112013).

Increased Risk of NCDs

Violence during childhood is also associated with noncommunicable diseases (NCDs) that often only become evident decades later. Exposure to childhood violence leads to consistent and graded increases in the four NCDs that accounted for nearly 60 percent of the 53 million deaths globally in 2010—cardiovascular disease, cancer, chronic lung disease, and diabetes (Lozano and others 2012Norman and others 2012). In both HICs and LMICs, childhood violence has been associated with major risk factors for these diseases, including alcohol abuse, tobacco use, physical inactivity, and obesity (Anda and others 2010). Beyond health effects, serious psychosocial effects of childhood violence that are observed decades later include severe problems with finances, family, jobs, anger, and stress (Hillis and others 2004).

Basic Science Evidence

The biological underpinnings of the empirical associations between exposure to violence and subsequent major causes of mortality in adulthood have been established through basic science. Recent evidence demonstrates that traumatic stress, such as that associated with violence in childhood, impairs brain architecture (both structure and function), immune status, metabolic systems, and cellular inflammatory responses (Anda and others 2010). It is clear that early exposure to toxic stress in childhood confers lasting damage at the most basic levels of the nervous, endocrine, and immune systems, and that such exposures can alter the physical structure of DNA (epigenetic effects) (Danese and McEwen 2012). Important research summarizing the effects of early childhood experiences suggests that those multifaceted gene-environment interactions that cause negative health consequences after exposure to chronic stress also appear to confer positive health consequences after exposure to early environments that are engaging and nurturing (Heim and Binder 2012). Epidemiologic research complements these findings, demonstrating that early nurturing in the home leads to sustained positive economic and psychosocial consequences up to five decades later (Hillis and others 2010).

Economic Burden of Interpersonal Violence

Given the high prevalence of interpersonal violence and its extensive consequences, the associated economic impact is substantial. However, no comprehensive framework for estimating the total economic burden of violence exists.

Framework for Estimating the Costs of Violence

Challenges in creating such a framework include “weaknesses in the knowledge base both in economic costing and in violence prevention, difficulty in creating a universal algorithm for diverse settings, and disagreements in types of costs to include” (IOM and NRC 2012, 7). Although no methodology exists to enumerate the full impact of violence, costs that are commonly considered include direct costs, which arise proximal to the violent event, and indirect costs, which result from consequences, externalities, or lost opportunities (IOM and NRC 2012). In general, direct costs typically include those associated with medical care, psychological care, property damage, policing, incarceration, and residential treatment; indirect costs are those commonly associated with lost wages and decreased productivity. Current approaches that largely confine estimates of health-related costs to proximal consequences lead to marked underestimates because they fail to incorporate costs of HIV/AIDS, chronic diseases, and other conditions attributable to violence.

A comprehensive approach to estimating costs will strengthen global efforts to elevate the urgency of violence prevention (WHO 2004). Comparisons across countries of the costs of interpersonal violence are complicated by variations in definitions, types of costs, discount rates, comparable data, and methodology. Reports vary greatly in the types of costs they include, whether such costs are disaggregated, and whether they include costs associated with both victimization and perpetration. Although the absolute costs appear to be higher in HICs than LMICs, the relative costs of violence as a proportion of government spending are often high in both types of economies (table 5.3).

Reports of direct and indirect societal costs of interpersonal violence in general vary widely, ranging from US$75.2 million (2013 dollars) for homicide in New Zealand in 1992 to US$579.4 billion (2013 dollars) for homicide, child abuse, sexual and other assault, and robbery in the United States in 1993 (Fanslow and others 1997Miller, Cohen, and Wiersema 1996). Estimates of the costs of both interpersonal and collective violence in the Americas show that direct and indirect economic costs ranged from 5.1 percent of 1997 gross domestic product (GDP) in Peru to 24.9 percent of 1997 GDP in El Salvador (Buvinic, Morrison, and Shifter 1999). Other estimates found that interpersonal violence accounted for 4.0 percent of GDP in Jamaica in 2006, 1.2 percent in Brazil in 2004, and 0.4 percent in Thailand in 2005 (Butchart and others 2008Ward and others 2009).

Reports that estimate the national costs of child maltreatment are largely from HICs, whereas those that address IPV also include LMICs. In HICs, for example, Fang and others (2012) estimated the U.S. total lifetime economic burden resulting from new cases of child maltreatment in 2008 to be US$135 billion (2013 dollars); an analysis using similar methods showed total costs of US$19.0 billion (2013 dollars) in Germany (Habetha and others 2012). HIC estimates of the annual direct and indirect costs of IPV against women exceeded US$8.9 billion in the United States and US$1.7 billion (all 2013 dollars) in Canada (CDC 2003Day 1995). For LMICs, costs of the lost productive capacity of abused women as a percentage of GDP were equivalent to 2.0 percent in Chile, 1.6 percent in Nicaragua, and 22.0 percent in Morocco (table 5.3) (ICRW 2009Morrison and Orlando 1999). Although adolescents and young adults commit a disproportionate share of all violence and, therefore, account for a high proportion of its cost, youth violence has been the subject of few economic cost studies (WHO 2004).

Risk and Protective Factors for Violence

Violence results from the interplay of risk factors and protective factors. In table 5.4 these risk factors are organized by levels of the ecological model, which examines the relationship between individual and contextual factors and considers violence as the product of these multiple levels of influence on behavior (Dahlberg and Krug 2001). Identifying these factors is important, because increasing protection and decreasing risk underlie effective prevention. Several cross-cutting risk factors for perpetrating violence are described in table 5.4. Many of these factors also increase an individual’s likelihood of being a victim; for example, young men ages 15 to 44 are most likely to be both victims and perpetrators in any country. Additional factors, such as having a disability (Hughes and others 2012), increase the risk of becoming a victim but not a perpetrator.

The recognition that different types of interpersonal violence share common risk factors, often occur in combination, and may be causal factors for one other is important (Reza, Mercy, and Krug 2001). For example, child maltreatment is a risk factor for youth violence and IPV. Three cross-cutting risk factors bear particular mention because they represent factors that, if successfully addressed by prevention initiatives, could have substantial impact: parenting, substance abuse (particularly alcohol), and the availability of lethal means.

Harsh, cold, and inconsistent parenting has been linked to youth violence (van der Merwe, Dawes, and Ward 2012), IPV (Ireland and Smith 2009), and the increased risk of abusing one’s own children (Thornberry, Knight, and Lovegrove 2012). In contrast, children who receive warm, consistent parenting tend to have better outcomes (Eisenberg and others 2005Smith, Landry, and Swank 2010).

Substance abuse, and particularly alcohol abuse, is implicated in a number of ways in both victimization and perpetration of violence (Monteiro 2007WHO 2006). Maternal use of alcohol during pregnancy can result in fetal alcohol spectrum disorders, with their attendant executive functioning disorders (Mattson and others 2013), which increase the risk of aggression in affected children. Alcohol use also reduces self-control and the ability to process information (Giancola 2000), making it more likely both that drinkers will use violence in response to perceived threats and that they will be vulnerable to victimization (Klosterman and Fals-Stewart 2006). Alcohol misuse has been implicated across all forms of violence, including perpetration of child maltreatment (Gilbert and others 2009) and elder abuse (Lachs and Pillemer 2004), and in both victimization and perpetration of youth violence (van der Merwe, Dawes, and Ward 2012) and IPV (Jewkes 2002).

Access to lethal means of perpetrating interpersonal violence, such as firearms and sharp objects, contributes substantially to the likelihood that such violence will result in death or serious injury (Beaman and others 2000). In the United States, the presence of a firearm in the home is associated with an increased risk of homicides, especially among women (Miller, Azrael, and Hemenway 2013). The same authors report that in cross-national comparisons of HICs, higher homicide rates have been associated with greater access to firearms.

Interventions and their Applicability to low- and Middle-Income Countries

Public health interventions aim to prevent violence from occurring. Prevention efforts addressing common underlying risk factors have the potential to decrease several different forms of violence simultaneously. Such efforts include two broad groups of interventions:

  • The first group targets documented risk and protective factors (for example, enhancing support for parents, reducing the availability and abuse of alcohol, and reducing access to lethal means) in well-defined target groups, such as adolescents. This group includes specific violence prevention programs implemented at the community, state and provincial, and national levels.
  • The second group consists of policies and programs that address the social determinants of violence, including efforts to improve the conditions of daily life and to promote more equitable distribution of power, money, and resources.

Policy makers understand that a single intervention or policy will not solve the whole problem, nor will one sector solve it alone; as with automobile safety, the solutions will be incremental and will require multisectoral collaboration among policy makers in criminal justice, public health, education, and other areas.

The design, targeting, monitoring, and evaluation of both groups of interventions are enabled by the availability of timely and reliable surveillance information about outcomes of interest, including homicides, nonfatal injuries treated in emergency departments, and self-reported violence recorded through surveys. Indeed, one program that has significantly reduced violence-related injuries in Cardiff, Wales, is based on the systematic sharing of anonymous data from hospital emergency rooms and the police to better identify high-risk locations for violence (Florence and others 2013). Such locations become the focus of situation-specific interventions to reduce risks, for example, by increasing the presence of police patrols at high-risk times where alcohol is served, altering practices around the serving of alcohol (such as the mandatory use of plastic barware), and instituting crowd control at public transportation stops.

Specific Violence Prevention Programs

Most of the scientific evidence for specific prevention programs to date is from HICs. Although conditions differ in LMICs, table 5.5 shows seven categories of violence prevention programs in HICs that are scientifically credible, along with the types of violence they prevent and considerations for their applicability in LMICs.

Developing Safe, Stable, and Nurturing Relationships between Parents or Caregivers and Children

Interventions that support the development of safe, stable, and nurturing relationships between parents or caregivers and children in their early years can prevent child maltreatment and reduce childhood aggression (Bilukha and others 2005Kaminski and others 2008). Emerging evidence suggests that such relationships can also reduce violence in adolescence and early adulthood; theoretical grounds exist for assuming they decrease IPV and self-directed violence in later life (Caldera and others 2007Olds and others 1998Walker and others 2011). In addition, these relationships offer the potential to prevent problem behaviors, such as substance misuse, eating disorders, and unsafe sex, which are important risk factors for NCDs; STIs, including HIV/AIDS; and unintentional injuries.

Although most evidence for the effectiveness of parenting programs comes from HICs (Knerr, Gardner, and Cluver 2013Mikton and Butchart 2009), several initiatives to evaluate such programs in LMICs have recently been established, for example, the Children and Violence Evaluation Challenge Fund. In addition, parenting programs are quite widely implemented in LMICs to support early child development, raising the possibility that violence prevention components could be integrated into those programs.

Developing Life Skills in Children and Adolescents

Social development programs to build social, emotional, and behavioral competencies can prevent violence (Hahn and others 2007Hawkins and others 1999Klevens and others 2009). Preschool enrichment programs that provide children with academic and social skills at an early age appear promising (Baker-Henningham and others 2012Nelson, Westhues, and MacLeod 2003). However, outcomes vary greatly across programs, and relatively few programs have been evaluated for their effects on violence (Durlak, Weissberg, and Pachan 2010).

School-based programs can address gender norms and attitudes with the aim of preventing dating violence. The Safe Dates program in the United States (Foshee and others 2005) and the Youth Relationship Project in Canada (Wolfe and others 2009) are evidence-based approaches that could be adapted to LMICs. Life skills and social development training programs are popular in LMICs. Some include evaluations of effectiveness (for example, PREPARE in South Africa). However, because programs are typically delivered in schools, they depend on the readiness of the educational system to implement the program and reinforce its effects. Oversight and management structures must be in place before such programs are implemented.

Reducing the Availability and Harmful Use of Alcohol

Alcohol availability can be regulated by restricting the hours of sale and reducing the number of alcohol retail outlets (Cohen 2007Duailibi and others 2007Nemtsov 1998). Reduced hours of sales have been associated with reduced violence, and higher outlet densities have been associated with higher levels of violence. Empirical evidence has shown that higher prices for alcohol can decrease consumption and reduce mortality attributed to alcohol (Zhao and others 2013). Moreover, economic modeling suggests that price increases can reduce violence (Markowitz and Grossman 19982000). Brief interventions and longer-term treatment for problem drinkers have been shown to reduce child maltreatment and IPV (Dinh-Zarr and others 2004). Interventions in and around drinking establishments that target crowding, management practice, physical design, staff training, and access to late night transportation also show promise in reducing violence (Bellis and Hughes 2008Graham and Homel 2008).

Although most evidence for the effectiveness of interventions in preventing violence comes from HICs, several success stories come from LMICs, including the reduced trading hours in Brazil (Duailibi and others 2007). Given that LMICs show some of the greatest increases in alcohol consumption, more outcome evaluations of strategies to address alcohol-related violence in these settings are urgently needed. Two areas that should be explored are the effectiveness of (1) minimum drinking-age laws and (2) efforts to regulate the marketing of alcohol. However, in many LMICs, a large proportion of alcohol consumed is produced at home. In such settings, establishing policies to regulate alcohol production and sale is an important prerequisite for effective prevention (WHO and Liverpool John Moores University 2006). As WHO Member States, all LMICs are committed to implementing the global plan of action on alcohol and health (WHO 2010). That plan includes the interventions described.

Reducing Access to Lethal Means

Evidence from North America is the primary basis of two systematic reviews and one meta-analysis that summarize the effects of various strategies to prevent firearm-related violence. One systematic review (Hahn and others 2005) concluded that the evidence is insufficient to determine whether firearm laws have any effect on violence. Such laws include bans on specified firearms or ammunition, restrictions on the acquisition of firearms, waiting periods for acquisition, firearms registration, licensing of owners, “shall issue” carry laws that allow people who pass background checks to carry concealed weapons, child access prevention laws, and zero tolerance laws for firearms in schools. Another systematic review (Koper and Mayo-Wilson 2009) found that directed police patrols focusing on illegal gun carrying can prevent gun crimes (including murders, shootings, robberies in which guns are used, and armed assaults). One meta-analysis (Makarios and Pratt 2012) suggests that bans on the sale of firearms had small effects, and law enforcement strategies had moderate effects in reducing gun violence.

More recent evidence suggests that the use of street outreach workers to mediate conflicts and provide social support, such as job referrals and access to social services in the U.S. context, may be effective in reducing youth homicides and firearm offenses (Webster and others 2012). In addition, studies from Brazil and South Africa have found that stricter licensing and reduced circulation of firearms accounted for significant decreases in firearm-related injuries (Marinho de Souza and others 2007Matzopoulos, Thompson, and Myers 2014). These reports therefore suggest, from a limited evidence base, that some strategies addressing access to firearms show promise, but additional research is needed.

Public health can make a critical contribution to preventing firearm injuries and deaths by collecting data and evidence. A range of strategies exists for reducing firearm-related violence, but further research and evidence are needed to assess their effectiveness (IOM and NRC 2013). Strategies identified by the Institute of Medicine (IOM) and others as being in particular need of additional research include the following:

  • Increasing efforts to control access to firearms by individuals at risk of harming themselves or others (for example, the safe storage of guns, waiting periods, and background checks)
  • Changing how firearms are used (for example, where firearms may be carried and provision of safety education)
  • Reducing the lethality of guns (for example, designing firearms to make them safer and addressing magazine size).
  • Evaluating strategies to reduce the use of military firearms in the aftermath of war or conflict, including strategies to disarm former combatants, disband armed groups, and reintegrate former combatants into civilian society.

Sound data and evidence on firearm injuries are needed to determine what programs and policies actually work in preventing these injuries while preserving the rights of legitimate gun owners.

Promoting Gender Equality to Prevent Violence against Women

Several outcome evaluation studies demonstrate the effectiveness of multisector interventions to prevent violence against women by promoting gender equality. The Intervention with Microfinance and Gender Equity in South Africa, which combines microloans and gender equity training, reduced rates of self-reported violence by more than 50 percent (Pronyk and others 2006). The Stepping Stones program implemented in Asia and Sub-Saharan Africa is a life skills training program that addresses gender-based violence, relationship skills, assertiveness training, and communication about HIV/AIDS and has shown promising results (Jewkes and others 2008Paine and others 2002). The popularity of microfinance and conditional cash transfer programs in LMICs, into which violence prevention objectives could be integrated, further underscores their applicability.

Changing Cultural and Societal Norms That Support Violence

Interventions that challenge cultural and social norms supporting violence are widely used, and their relatively low cost makes them a popular option. Such interventions are often restricted to standalone mass-media campaigns that are intended to raise awareness about the harmful effects of violence, thereby reducing the likelihood of future acts of violence. No evidence shows that such campaigns are effective; however, some evidence suggests that programs combining awareness-raising efforts with other mechanisms to change norms (for example, social development and life skills training and legislation) are effective. In South Africa, the Soul City initiative used television (through a soap opera series), radio, and nationally distributed information booklets to raise awareness of new IPV laws. The intervention increased the proportion of people who saw such violence as unacceptable (Usdin and others 2005).

Implementing Victim Identification, Care, and Support Programs

Interventions to identify victims of interpersonal violence and to provide effective care and support are critical for protecting health and breaking cycles of violence from one generation to the next. Evidence of effectiveness is emerging in several areas:

  • Screening tools to identify victims of IPV and refer them to appropriate services (Ramsay and others 2002)
  • Psychosocial interventions, such as trauma-focused cognitive behavioral therapy, to reduce mental health problems associated with violence (Bass and others 2013Kornør and others 2008)
  • Protection orders, which prohibit perpetrators of IPV from contacting victims (Holt and others 2003), to reduce repeat victimization.

Several trials have shown that advocacy support programs—which offer services such as counseling, safety planning, and referral—increase victims’ safety behaviors and reduce the risk of further harm (McFarlane and others 2006).

Policies and Programs to Address the Social Determinants of Violence

Violence is strongly associated with social determinants, such as employment, income equity, rapid social change, and access to education. The expectation that policies and programs can prevent violence by addressing social determinants derives from ecological studies that use cross-sectional and time-series methods to document associations between social determinants and violence. Comprehensive violence prevention strategies should do more than just address the risk factors targeted by the specific programs; such strategies should be integrated with policies directed at the inequities that fuel violence. This integration is particularly important in LMICs, where daily living conditions can undermine the opportunities for positive early child development. For example, the context can include economic and social policies that exacerbate gaps between rich and poor and between men and women.

Economic Evaluation of Interventions

Economic evaluation provides a way to compare gains resulting from an intervention, which has its own costs and risks. Given the high prevalence of interpersonal violence and its direct and indirect costs, identifying effective, low-cost interventions to reduce violence is an urgent priority. However, the same challenges that complicate measuring the costs of violence also complicate measuring the benefits associated with its prevention (Barnett 1993WHO 2004). Despite widely varying methodologies, most studies show that behavioral, legal, and regulatory interventions are cost-effective (WHO 2004). Evidence addressing specific types of violence, largely from HICs, has identified a variety of cost-effective interventions to prevent child maltreatment, IPV, and youth violence (table 5.6). Despite the disproportionate effects of violence in LMICs, economic evaluations of interventions are rare; therefore, systematic research to measure the economic benefits of violence prevention efforts in LMICs would fill a critical gap.

Implementation of Prevention Strategies

The gap between the science and the practice of violence prevention is growing. Although numerous effective programs, policies, and innovations have been identified, they are unlikely to have a substantial public health impact unless they are widely disseminated, implemented with quality and scale, and sustained over the long term (Rhoades, Bumbarger, and Moore 2012). Moreover, the benefits of their implementation must also be monitored. The infrastructure needed to support the dissemination, scaling up, and sustenance of effective programs and policies is slowly emerging.

Given the rapid expansion of and increasing demand for evidence-based violence prevention innovations, especially in LMICs, building an infrastructure that can more effectively move innovations from research to action is increasingly important. That infrastructure requires attention to three interrelated sets of functions and activities that should be coordinated across global, country, and local levels: prevention synthesis and translation, prevention support, and prevention delivery (Wandersman and others 2008).

Prevention Synthesis and Translation

The greater the extent to which innovations for violence prevention are accessible (both from informational and financial perspectives), user-friendly, and clearly communicated, the more likely it is that effective approaches will be successfully disseminated and implemented (Clancy and Cronin 2005). The seven-part series on Violence Prevention: The Evidence is an example of an effort to synthesize and translate the scientific evidence into easily understandable and accessible briefing documents that demonstrate the effectiveness of interventions to prevent interpersonal and self-directed violence (Liverpool John Moores University 2013WHO 2009).

Prevention Support

Synthesizing and translating information about violence prevention innovations, although important, are likely to be insufficient to change prevention practices. Countries, districts, and communities seeking to apply violence prevention innovations need the capacity to be successful in scaling up effective programs with fidelity (Wandersman and others 2008). A growing body of research suggests that providing support in the form of specialized training, monitoring of fidelity, technical assistance, and coaching, along with improving the skills and motivation of implementing organizations, increases the use and successful implementation of innovations (Fixsen and other 2005Mihalic and Irwin 2003Wandersman and others 2008).

An example of a well-functioning prevention support system in the United States is the state of Pennsylvania’s Evidence-Based Prevention and Intervention Support Center (EPISCenter) at the University of Pennsylvania (Rhoades, Bumbarger, and Moore 2012). The EPISCenter uses flexible, targeted, and research-based technical assistance to develop the capacity of communities to support the implementation of evidence-based violence prevention programs.

Prevention Delivery

The successful implementation of evidence-based innovations requires that they be carried out and sustained in organizational settings (Wandersman and others 2008). Organizations’ capacities to deliver the violence prevention innovations include maintaining a well-functioning organization; recruiting and maintaining well-trained staff members; developing community support; working with other organizations; and improving skills in selecting, implementing, and sustaining an innovation over time (Mihalic and Irwin 2003Wandersman and others 2008). The Parent Centre in South Africa and Raising Voices in Uganda are two examples of organizations in LMICs that are seeking to sustain the implementation of interventions to prevent violence against women and children (Butchart and Hendricks 2000The Parent Centre 2013Raising Voices 2013).

Conclusions

The primary rationale for addressing interpersonal violence as a public health problem has been its role in causing physical injury and homicide. Evidence has shown that interpersonal violence also plays an important role in the etiology of mental illness, chronic disease, and even infectious diseases such as HIV/AIDS. Unfortunately, such wide-ranging effects remain largely invisible to public health leaders, policy makers, and the public. Violence is often hidden, victims rarely come into contact with official or service agencies, and many of the health and social consequences are not evident until years after exposure. Greater awareness of these impacts is now leading to actions that can reduce the enormous health and social burden of violence.

Many LMICs face daunting challenges, including the HIV/AIDS epidemic, ongoing wars and conflicts, cardiovascular and other chronic diseases, suicide, and traffic injuries. Given the effects of violence on these outcomes, preventing interpersonal violence can become a powerful lever that, if successfully engaged, will allow LMICs to more effectively address a broad range of challenges.

The study of violence crosses many domains, and collaboration across different government sectors and across different disciplines and professions is critical, both to fully understand the problem and to effectively prevent it. Violence affects almost every government sector, including justice and law enforcement, social services, protection of women and children, education, transportation, finance, health care and public health, labor, tourism, foreign affairs, interior affairs, commerce, and tourism. The disciplines that have important contributions to make include law, psychology, sociology, social work, medicine and almost every medical specialty, anthropology, engineering, business, architecture and design, and urban planning. Given this influence, the involvement of foundations, multilateral agencies, and corporations in programs to prevent violence is also expanding.

Progress in preventing interpersonal violence is advancing rapidly, and clearly the global public health community’s increased understanding and capacity to prevent interpersonal violence will make a difference. The lessons learned during their brief experience with violence prevention efforts are consistent with the lessons from the community’s much longer experience with the prevention of infectious and chronic diseases. Violence can be prevented if citizens, their governments, and the global community start now, act wisely, and work together.

Note

Corresponding author: James A. Mercy, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States; vog.cdc@2maj.

Disclaimer: The findings and conclusions in this chapter are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention or the World Health Organization (WHO).

World Bank Income Classifications as of July 2014 are as follows, based on estimates of gross national income per capita for 2013:

  • Low-income countries (LICs) = US$1,045 or less
  • Middle-income countries (MICs) are subdivided:
    a) Lower-middle-income = US$1,046 to US$4,125
    b) Upper-middle-income (UMICs) = US$4,126 to US$12,745
  • High-income countries (HICs) = US$12,746 or more.

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Figures

Figure 5.1. Homicide, Suicide, and Conflict-Related Fatality Rates, by Region, 2011.

Figure 5.1

Homicide, Suicide, and Conflict-Related Fatality Rates, by Region, 2011

WHO 2014.

Note: AFRO = African Regional Office; AMRO = Americas Regional Office; EMRO = Eastern Mediterranean Regional Office; EURO = European Regional Office; SEARO = South-East Asia Regional Office; WPRO = Western Pacific Regional Office.

Tables

Table 5.1

Estimated Violence-Related Deaths, by Type and Income Level, 2011
Category Number Rate per 100,000 peoplea Proportion of total (percent)
Suicide 803,900 11.4 56.3
LMICs 606,698 10.5 75.5
HICs 197,201 15.2 24.5
Interpersonal 504,587 7.1 35.3
LMICs 461,429 8.0 91.4
HICs 43,158 3.3 8.6
Conflict related 119,463 1.7 8.4
LMICs 117,131 2.0 98.0
HICs 2,332 0.2 2.0
All types of violence 1,427,949 20.2 100.0
LMICs 1,185,259 20.5 83.0
HICs 242,691 18.8 17.0
a.

Age standardized.

Note: HIC = high-income country; LMIC = low- and middle-income country.

Table 5.2

Estimated Global Homicide and Suicide Rates, by Age and Gender, 2012
Homicidesa Suicidesa
Age Males Females Males Females
0–4 years 2.9 3.2 0.0 0.0
5–14 years 2.0 1.6 1.2 1.2
15–29 years 19.4 3.7 15.6 11.3
30–49 years 15.4 2.8 17.6 7.8
50–59 years 9.6 2.0 21.7 9.3
60–69 years 6.8 2.2 24.6 13.1
70+ years 6.4 3.5 43.2 20.8
Total 11.4 2.8 14.5 8.2
a.

Per 100,000 people.

Table 5.3

Summary of Costs of Interpersonal Violence, by Types of Violence
Study Country Costs included (time frame) Discount rate Total costs (per year) Costs converted to 2013 U.S. dollars* Violence-associated costs as percentage of national health expenditures Violence-associated costs as percentage of GDP
Interpersonal violence in general
Miller, Cohen, and Wiersema 1996 United States Victim costs: medical and mental health care, victim services, productivity and quality of life losses (1993) (lifetime) n.a. US$358.0 billion for homicide, child abuse, sexual and other assault, and robbery (1993) US$577.2 billion n.a. n.a.
Bellis and others 2012 England and Wales For homicide, wounding, assault, and sexual assault: criminal justice system, health and victim services, foregone output, and physical and emotional costs (lifetime) n.a. £29.9 billion (2008–09) US$53.8 billion n.a. n.a.
Mayhew 2003 Australia For homicide, assault, and sexual assault: medical costs, lost wages, intangible costs such as pain, suffering, and reduced quality of life (annual) n.a. $A2.6 billion (2001) US$1.8 billion n.a. n.a.
Fanslow and others 1997 New Zealand Lost earnings, legal fees, incarceration, and policing costs associated with homicide (annual) n.a. $NZ83.0 million, averaging $NZ1 million per homicide (1992) US$74.9 million, averaging US$900 thousand per homicide n.a. n.a.
Buvinic, Morrison, and Shifter 1999 Peru For both interpersonal violence and collective violence: health impacts; private and public expenditures on police and security services; citizens’ willingness to pay to live without violence; and value of goods lost, ransoms, and bribes (annual) n.a. n.a. n.a. n.a. 5.1 percentage of 1997 GDP
Buvinic, Morrison, and Shifter 1999 Brazil For both interpersonal violence and collective violence: health impacts; private and public expenditures on police and security services; citizens’ willingness to pay to live without violence; and value of goods lost, ransoms, and bribes (annual) n.a. n.a. n.a. n.a. 10.5 percentage of 1997 GDP
Buvinic, Morrison, and Shifter 1999 Venezuela, RB For both interpersonal violence and collective violence: health impacts; private and public expenditures on police and security services; citizens’ willingness to pay to live without violence; and value of goods lost, ransoms, and bribes (annual) n.a. n.a. n.a. n.a. 11.8 percentage of 1997 GDP
Buvinic, Morrison, and Shifter 1999 Mexico For both interpersonal violence and collective violence: health impacts; private and public expenditures on police and security services; citizens’ willingness to pay to live without violence; and value of goods lost, ransoms, and bribes (annual) n.a. n.a. n.a. n.a. 12.3 percentage of 1997 GDP
Buvinic, Morrison, and Shifter 1999 Colombia For both interpersonal violence and collective violence: health impacts; private and public expenditures on police and security services; citizens’ willingness to pay to live without violence; and value of goods lost, ransoms, and bribes (annual) n.a. n.a. n.a. n.a. 24.7 percentage of 1997 GDP
Buvinic, Morrison, and Shifter 1999 El Salvador For both interpersonal violence and collective violence: health impacts; private and public expenditures on police and security services; citizens’ willingness to pay to live without violence; and value of goods lost, ransoms, and bribes (annual) n.a. n.a. n.a. n.a. 24.9 percentage of 1997 GDP
Butchart and others 2008 Brazil Lifetime medical and productivity losses associated with self-directed and interpersonal violence (lifetime) 3 percent R$16.1 billion (2004) US$6.4 billion 0.4 percent 1.2 percentage of 2004 GDP
Butchart and others 2008 Jamaica Lifetime medical and productivity losses associated with self-directed and interpersonal violence (lifetime) 3 percent J$29.6 billion (2006) US$530.0 million 12.0 percent 4.0 percentage of 2006 GDP
Butchart and others 2008 Thailand Lifetime medical and productivity losses associated with self-directed and interpersonal violence (lifetime) 3 percent B15.7 billion (2005) US$453.3 million 4.0 percent 0.4 percentage of 2005 GDP
Child maltreatment
Fang and others 2012 United States Childhood health care, adult medical, lost productivity, child welfare, criminal justice, and special education costs (lifetime) 3 percent
  • US$124.0 billion lifetime costs from new cases of fatal and nonfatal child maltreatment (2010)
US$132.5 billion n.a. n.a.
  • US$210,012 average lifetime costs per victim of nonfatal child maltreatment
  • US$1,272,900 average lifetime costs per death (2010 dollars)
Habetha and others 2012 Germany Costs associated with health care, social, and educational services; foster care; productivity losses (lifetime) n.a. €11.1 billion (2008) US$9.7 billion n.a. n.a.
Mendonca, Alves, and Cabral Filho 2002 Recife, Brazil Hospital costs (annual) n.a. n.a. n.a. Violence against children and adolescents accounted for 65.1 percent of hospital admissions and 77.9 percent of all hospital costs in the state of Pernambuco (1999) n.a.
Intimate partner violence
CDC 2003 United States Medical and mental health care costs, lost productivity (annual) n.a. US$5.8 billion (1995) US$8.9 billion n.a. n.a.
Day 1995 Canada Costs of health care, policing, legal fees, incarceration, lost earnings, and psychological trauma (lifetime) n.a. Can$1.2 billion (1992) US$1.7 billion n.a. n.a.
Morrison and Orlando 1999 Chile Lost productive capacity of abused women (annual) n.a. Ch$1.6 billion (1996) US$5.8 million n.a. 2.0 percentage of 1996 GDP
Morrison and Orlando 1999 Nicaragua Lost productive capacity of abused women (annual) n.a. C$29.5 million (1996) US$5.2 million n.a. 1.6 percentage of 1996 GDP
International Center for Research on Women 2009 Bangladesh Costs of health care, justice, and lost productivity (annual) n.a. n.a. n.a. n.a. 4.5 percentage of 2007 per capita gross national income
International Center for Research on Women 2009 Morocco Costs of health care, justice, and lost productivity (annual) n.a. n.a. n.a. n.a. 22.0 percentage of 2007 per capita gross national income
International Center for Research on Women 2009 Uganda Costs of health care, justice, and lost productivity (annual) n.a. n.a. n.a. n.a. 4.0 percentage of 2007 per capita gross national income
Roldós and Corso 2013 Ecuador Costs of medical and legal services, and productivity losses (annual) n.a. US$109.0 million (2012) US$110.6 million n.a. n.a.
Youth violence
Miller, Fisher, and Cohen 2001 Pennsylvania, United States Total victim costs, including quality of life and productivity losses of juvenile violence (lifetime) 2.5 percent US$5.4 billion (1993) US$8.7 billion n.a. n.a.

Note: * Conversions to 2013 U.S. dollars using Department of Labor Consumer Price Index Inflation Calculator; GDP = gross domestic product; n.a. = not applicable.

Table 5.4

Risk for Perpetrating Violence
Level of the ecological model Risk factors
Individual
  • Early exposure to violence and adverse events, including child maltreatment and intimate partner violence
  • Male gender
  • Youth
  • Neuropsychological deficits, including attention-deficit hyperactivity disorder and learning disabilities
  • Personality disorders
  • Alcohol and substance misuse
  • History of violence
Household
  • Intimate partner violence
  • Household members with criminal records
  • Harsh, cold, or inconsistent parenting
  • Low socioeconomic status
Peer group
  • Association with others who use and endorse the use of violence
Community
  • High residential mobility
  • High unemployment
  • High population density
  • Poverty
  • Drug trade
  • Inadequate victim care services
Societal
  • Rapid social change
  • Economic inequality
  • Gender inequality
  • Policies that sustain or increase inequalities
  • Patriarchal norms that prioritize men’s power over women and adults’ power over children
  • Societal norms that support violence
  • Poor rule of law
  • Weak criminal justice system
  • Availability of lethal means, for example, firearms

Krug and others 2002.

Table 5.5

Overview of Violence Prevention Strategies Showing Evidence for Effectiveness and Applicability in Low- and Middle-Income Countries
Image WB.978-1-4648-0522-6.ch5.sec4.table5
Image WB.978-1-4648-0522-6.ch5.sec4.table5a

WHO 2009.

Note: LMICs = low- and middle-income countries; Image WB.978-1-4648-0522-6.ch5.sec4.table5.fig1.jpg = well supported by evidence (multiple randomized controlled trials with different populations); Image WB.978-1-4648-0522-6.ch5.sec4.table5.fig2.jpg = emerging evidence.

Table 5.6

Summary of Economic Evaluations of Interventions to Prevent Interpersonal Violence, by Type of Violence
Type of violence Intervention type Intervention details Cost-effectiveness
Child maltreatment Home visiting Nurse-family partnerships provide home visiting for low-income mothers to improve prenatal health-related behaviors, provide more responsible and competent care of infants and toddlers, and improve parents’ economic self-sufficiency (Lee and others 2012).
Location: United States
Net benefit (in 2011 dollars) for each program participant was US$13,181 (US$13,617 in 2013 dollars); benefit-to-cost ratio was US$2.37 for every US$1.00 spent (US$2.46 in 2013 dollars).
Parent-child interaction therapy Empirical treatment for conduct disorders is based on behavioral interventions to improve parent-child interaction (Lee and others 2012).
Location: United States
Net benefit (in 2011 dollars) for each program participant was US$5,617 (US$5,820 in 2013 dollars); benefit-to-cost ratio was US$4.62 for every $1.00 spent (US$4.79 in 2013 dollars).
Educational and family support The Child-Parent Center Program is a program for economically disadvantaged children and parents that provides a stable early learning environment and educational and support services for parents (Temple and Reynolds 2007).
Location: Chicago, Illinois
Range of benefit-to-cost ratio (in 2002 dollars) was US$5.98 (US$7.76 in 2013 dollars) to US$10.15 (US$13.18 in 2013 dollars) for every US$1.00 spent.
Intimate partner violence (IPV) Microfinance with gender and human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) training The Intervention with Microfinance for AIDS and Gender Equity (IMAGE) provides a combination of microfinance with gender and HIV/AIDS training for women to improve health, income, behavioral skills, communication, and norms (Jan and others 2011).
Location: Rural South Africa
Cost per disability-adjusted life year averted for the initial scale-up was US$2,307 (in 2004 dollars; US$2,852 in 2013 dollars).
Education for primary care providers Training allows clinicians to increase their identification and referral of survivors of IPV (Norman and others 2010).
Location: United Kingdom
Incremental cost-effectiveness ratio was £2,450 per quality-adjusted life year (in 2005 pounds) ($4,228 in 2013 dollars).
Shelters for victims Shelters provide a safe haven for women and child victims of IPV, including support and safety planning (Chanley, Chanley, and Campbell 2001).
Location: Arizona
Net social benefit was US$3.4 million dollars (in 1999 dollars); minimum benefit-to-cost ratio was US$4.60 for every US$1.00 spent (US$6.45 in 2013 dollars).
Youth violence Anonymized information sharing between police and hospital emergency department The Cardiff model provides information to direct targeted prevention measures. Youth were among those most likely to benefit (Florence and others 2013).
Location: Cardiff, United Kingdom
The cumulative social benefit-to-cost ratio was £82 (in 2003 pounds) for every £1.00 spent (US$163 in 2013 dollars).
Multicomponent, long-term school and family-based program Fast Track, a program for at-risk children in grades 1–10, includes tutoring, parent support, child social-skills training, and home visits (Foster, Jones, and the Conduct Problems Prevention Research Group 2006).
Location: Durham, North Carolina; Nashville, Tennessee; Seattle, Washington; and rural central Pennsylvania
The intervention was not cost-effective at a threshold of US$50,000 willingness to pay (in 2004 dollars; US$61,817 in 2013 dollars) for an act of interpersonal violence.
Mobilization of community stakeholders to implement evidence-based systems Communities That Care (CTC) mobilizes stakeholders to collaborate on preventing adolescent substance use, delinquency, and interpersonal violence (Kuklinski and others 2012).
Location: 24 communities in seven states
Very cost beneficial in the United States; net present benefit of CTC was US$5,250 per youth (in 2004 dollars; US$6,491 in 2013 dollars), with a benefit-to-cost ratio of US$5.30 for every US$1.00 spent (US$6.55 in 2013 dollars).
Educational incentives Incentives included four years of cash and other incentives to induce disadvantaged high school students to graduate (Greenwood and others 1996),
Location: California
For every US$1.0 million (in 1993 dollars; $1.62 million in 2013 dollars), 258 serious crimes were prevented.
Parent training and family therapy The intervention included training for parents and therapy for families with young school-age children who have shown aggressive behavior (Greenwood and others 1996).
Location: California
For every US$1.0 million (in 1993 dollars; US$1.62 million in 2013 dollars), 157 serious crimes were prevented.
Supervision The intervention included monitoring and supervising high school–age youth who have exhibited delinquent behavior (Greenwood and others 1996).
Location: California
For every US$1.0 million (in 1993 dollars; US$1.62 million in 2013 dollars), 72 serious crimes were prevented.
Home visiting and day care The intervention included home visits by child care professionals from birth through the first two years of childhood, followed by four years of day care (Greenwood and others 1996).
Location: California
For every US$1.0 million (in 1993 dollars; US$1.62 million in 2013 dollars), 11 serious crimes were prevented.
Taken from Mercy JA, Hillis SD, Butchart A, et al. Interpersonal Violence: Global Impact and Paths to Prevention. In: Mock CN, Nugent R, Kobusingye O, et al., editors. Injury Prevention and Environmental Health. 3rd edition. Washington (DC): The International Bank for Reconstruction and Development / The World Bank; 2017 Oct 27. Chapter 5Available from: https://www.ncbi.nlm.nih.gov/books/NBK525208/ doi: 10.1596/978-1-4648-0522-6_ch5
This Chapter is from Mock, C. N., R. Nugent, O. Kobusingye, and K. R. Smith, editors. 2017. Injury Prevention and Environmental Health. Disease Control Priorities (third edition), Volume 7. Washington, DC: World Bank. doi:10.1596/978-1-4648-0522-6. License: Creative Commons Attribution CC BY 3.0 IGO https://www.ncbi.nlm.nih.gov/books/n/dcp3v7/pdf/