Reducing Violence Without Police: A Review of Research Evidence

Arnold Ventures sought to review the research evidence for violence reduction strategies that do not rely on law enforcement. The John Jay College Research and Evaluation Center (JohnJayREC) and an expert group of researchers from public policy, criminology, law, public health, and social science fields conducted the scan. The research group members worked collaboratively to identify, translate, and summarize the most critical and actionable studies

Using synthetic control methodology to estimate effects of a Cure Violence intervention in Baltimore, Maryland

ObjectiveTo estimate the long-term impact of Safe Streets Baltimore, which is based on the Cure Violence outreach and violence interruption model, on firearm violence.MethodsWe used synthetic control methods to estimate programme effects on homicides and incidents of non-fatal penetrating firearm injury (non-fatal shootings) in neighbourhoods that had Safe Streets' sites and model-generated counterfactuals. Synthetic control analyses were conducted for each firearm violence outcome in each of the seven areas where Safe Streets was implemented. The study also investigated variation in programme impact over time by generating effect estimates of varying durations for the longest-running programme sites.ResultsSynthetic control models reduced prediction error relative to regression analyses. Estimates of Safe Streets' effects on firearm violence varied across intervention sites: some positive, some negative and no effect. Beneficial programme effects on firearm violence reported in prior research were found to have attenuated over time.ConclusionsFor highly targeted interventions, synthetic control methods may provide more valid estimates of programme impact than panel regression with data from all city neighbourhoods. This research offers new understanding about the effectiveness of the Cure Violence intervention over extended periods of time in seven neighbourhoods. Combined with existing Cure Violence evaluation literature, it also raises questions about contextual and implementation factors that might influence programme outcomes

Identity, experience, and threat: Assessing key correlates of firearm ownership and related behaviors in a representative sample of five US States

The purpose of this study was to examine psychosocial, experiential, and demographic correlates of firearm ownership, carrying, and storage methods. We used a representative survey of 3,510 people living in five US states (Colorado, Minnesota, Mississippi, New Jersey, and Texas) conducted in 2022. Individuals provided information on past experiences with firearms, perceptions of threat and neighborhood safety, discrimination, and tolerance of uncertainty alongside demographic items. The analysis was conducted in November 2022. Past experiences with firearms and prior victimization are associated with increased firearm ownership and carrying practices. Threat sensitivity is associated with owning more guns while poorer perceptions of neighborhood safety correspond with owning fewer guns but greater risk for unsafe storage practices like storing a loaded gun in a closet or drawer. Intolerance of uncertainty is associated with owning fewer guns and lower risk for carrying outside of the home but greater risk for unsafe storage. Prior experience of discrimination is associated with risk for carrying firearms outside of the home. Demographic characteristics related to sex, rurality, military service, and political conservatism predict risky firearm-related behaviors related to firearm ownership, carrying frequency, and unsecure storage. Taken together, we find firearm ownership and risky firearm behaviors (e.g. carrying, unsafe storage) are more prominent among groups such as politically conservative males living in rural areas while also being influenced by threatening experiences, uncertainty, and perceptions of safety

Identity, experience, and threat: Assessing key correlates of firearm ownership and related behaviors in a representative sample of five US States.

The purpose of this study was to examine psychosocial, experiential, and demographic correlates of firearm ownership, carrying, and storage methods. We used a representative survey of 3,510 people living in five US states (Colorado, Minnesota, Mississippi, New Jersey, and Texas) conducted in 2022. Individuals provided information on past experiences with firearms, perceptions of threat and neighborhood safety, discrimination, and tolerance of uncertainty alongside demographic items. The analysis was conducted in November 2022. Past experiences with firearms and prior victimization are associated with increased firearm ownership and carrying practices. Threat sensitivity is associated with owning more guns while poorer perceptions of neighborhood safety correspond with owning fewer guns but greater risk for unsafe storage practices like storing a loaded gun in a closet or drawer. Intolerance of uncertainty is associated with owning fewer guns and lower risk for carrying outside of the home but greater risk for unsafe storage. Prior experience of discrimination is associated with risk for carrying firearms outside of the home. Demographic characteristics related to sex, rurality, military service, and political conservatism predict risky firearm-related behaviors related to firearm ownership, carrying frequency, and unsecure storage. Taken together, we find firearm ownership and risky firearm behaviors (e.g. carrying, unsafe storage) are more prominent among groups such as politically conservative males living in rural areas while also being influenced by threatening experiences, uncertainty, and perceptions of safety

Inequities in Community Exposure to Deadly Gun Violence by Race/Ethnicity, Poverty, and Neighborhood Disadvantage among Youth in Large US Cities.

Understanding the burden of gun violence among youth is a public health imperative. While most estimates are based on direct and witnessed victimization, living nearby gun violence incidents may be consequential too. Yet detailed information about these broader experiences of violence is lacking. We use data on a population-based cohort of youth merged with incident-level data on deadly gun violence to assess the prevalence and intensity of community exposure to gun homicides across cross-classified categories of exposure distance and recency, overall and by race/ethnicity, household poverty, and neighborhood disadvantage. In total, 2-18% of youth resided within 600 m of a gun homicide occurring in the past 14-365 days. These percentages were 3-25% for incidents within 800 m and 5-37% for those within a 1300-m radius. Black and Latinx youth were 3-7 times more likely, depending on the exposure radius, to experience a past-year gun homicide than white youth and on average experienced incidents more recently and closer to home. Household poverty contributed to exposure inequities, but disproportionate residence in disadvantaged neighborhoods was especially consequential: for all racial/ethnic groups, the difference in the probability of exposure between youth in low vs high poverty households was approximately 5-10 percentage points, while the difference between youth residing in low vs high disadvantage neighborhoods was approximately 50 percentage points. Given well-documented consequences of gun violence exposure on health, these more comprehensive estimates underscore the importance of supportive strategies not only for individual victims but entire communities in the aftermath of gun violence

Changes in Attitudes toward Guns and Shootings following Implementation of the Baltimore Safe Streets Intervention

Among youth 15 to 24 years of age, homicide and nonfatal shootings are the leading causes of mortality and morbidity. Urban youth's attitudes and perceptions about the use of gun violence to resolve conflict present a major barrier to efforts to reduce gun homicides and nonfatal shootings. The current investigation extends the existing literature on attitudes toward guns and shootings among high-risk youth ages 18 to 24 by measuring perceived norms and viewpoints regarding gun violence in two analogous Baltimore City neighborhoods pre-implementation and 1-year post-implementation of the Safe Streets intervention (adapted from the CeaseFire/Cure Violence intervention). The Safe Streets intervention is designed for communities with high rates of gun violence and utilizes outreach workers to identify and build trusting relationships with youth ages 15 to 24 who are at greatest risk of being involved in gun violence. The outreach workers also position themselves in the community so that they can rapidly intervene in disputes that have the potential to lead to gun violence. Chi-squared tests and exploratory structural equation modeling (ESEM) were used to examine changes in attitudes toward gun violence 1 year after the implementation of the Safe Streets intervention. There was a statistically significantly improvement in 43 % of the attitudes assessed in the intervention community post-intervention compared to 13 % of the attitudes in the control community. There was a statistically significant improvement in the violent attitudes toward personal conflict resolution scale after implementation of the intervention in both the intervention (b = -0.522, p < 0.001) and control community (b = -0.204, p < 0.032). Exposure to the intervention (e.g., seeing stop shooting signs in your neighborhood) was also associated with the nonviolent attitudes toward conflict scale. Overall, the study found greater improvement in attitudes toward violence in the intervention community following the implementation of the Safe Streets program. These findings offer promising insights into future community violence prevention efforts

Physical Distancing, Violence, and Crime in US Cities during the Coronavirus Pandemic.

Violent crime increased and most property crime decreased in many United States (US) cities during the coronavirus pandemic. Using negative binomial regressions, we examined the association between physical distancing (a central coronavirus containment strategy) and crime within 16 large cities (in 12 US states and the District of Columbia) through July 2020. Physical distancing was measured with aggregated smartphone data and defined as the average change in the percentage of the population staying completely at home. Outcome data were obtained from the Gun Violence Archive and city open data portals. In multivariable models, increases in the percentage of the population staying home were associated with decreases in reported incidents of aggravated assault, interpersonal firearm violence, theft, rape, and robbery, and increases in arson, burglary, and motor vehicle theft. Results suggest that changes in the frequency of interpersonal interactions affected crime during the coronavirus pandemic. More research is needed on the specificity of these assocations and their underlying mechanisms

Firearm purchasing and firearm violence during the coronavirus pandemic in the United States: a cross-sectional study.

BackgroundFirearm violence is a significant public health problem in the United States. A surge in firearm purchasing following the onset of the coronavirus pandemic may have contributed to an increase in firearm violence. We sought to estimate the state-level association between firearm purchasing and interpersonal firearm violence during the pandemic.MethodsCross-sectional study of the 48 contiguous states and the District of Columbia from January 2018 through July 2020. Data were obtained from the National Instant Criminal Background Check System (a proxy for firearm purchasing) and the Gun Violence Archive. Using negative binomial regression models, we estimated the association between cumulative excess firearm purchases in March through July 2020 (measured as the difference between observed rates and those expected from autoregressive integrated moving average models) and injuries (including nonfatal and fatal) from intentional, interpersonal firearm violence (non-domestic and domestic violence).ResultsWe estimated that there were 4.3 million excess firearm purchases nationally from March through July 2020 and a total of 4075 more firearm injuries than expected from April through July. We found no relationship between state-level excess purchasing and non-domestic firearm violence, e.g., each excess purchase per 100 population was associated with a rate ratio (RR) of firearm injury from non-domestic violence of 0.76 (95% CI: 0.50-1.02) in April; 0.99 (95% CI: 0.72-1.25) in May; 1.10 (95% CI: 0.93-1.32) in June; and 0.98 (95% CI: 0.85-1.12) in July. Excess firearm purchasing within states was associated with an increase in firearm injuries from domestic violence in April (RR: 2.60; 95% CI: 1.32-5.93) and May (RR: 1.79; 95% CI: 1.19-2.91), though estimates were sensitive to model specification.ConclusionsNationwide, firearm purchasing and firearm violence increased substantially during the first months of the coronavirus pandemic. At the state level, the magnitude of the increase in purchasing was not associated with the magnitude of the increase in firearm violence. Increases in purchasing may have contributed to additional firearm injuries from domestic violence in April and May. Results suggest much of the rise in firearm violence during our study period was attributable to other factors, indicating a need for additional research

Unemployment and Crime in US Cities During the Coronavirus Pandemic.

Unemployment and violence both increased during the coronavirus pandemic in the United States (US), but no studies to our knowledge have examined their association. Using data for 16 US cities from January 2018 to July 2020, we estimated the association between acute changes in unemployment during the coronavirus pandemic and violent and acquisitive crime. We used negative binomial regression models and parametric g-computation to estimate average differences in crime incidents if the highest and lowest levels of unemployment observed in each city had been sustained across the exposure period (March-July 2020), compared with observed unemployment in each city-month. During the pandemic, the percentage of the adult population who were unemployed was 8.1 percentage points higher than expected, on average. Increases in unemployment were associated with increases in firearm violence and homicide. For example, we estimated an average increase of 3.3 firearm violence incidents (95% CI: - 0.2, 6.7) and 2.0 homicides (95% CI: - 0.2, 3.9) per city-month from March to July 2020 if all cities experienced their highest versus observed level of unemployment. There was no association between unemployment and aggravated assault or any acquisitive crime. Findings suggest that the sharp rise in unemployment during the pandemic may have contributed to increases in firearm violence and homicide, but not other crime. Additional research is needed on mechanisms of association, generalizability, and modifying factors