Can police shootings be reduced by requiring officers to document when they point firearms at citizens?

OBJECTIVE: To examine the impact of a novel firearm 'pointing' policy that requires officers to document when they directly point their guns at citizens. METHODS: Sixteen years (2003-2018) of narrative officer-involved shooting (OIS) reports from the Dallas Police Department were qualitatively coded to explore both the total frequency and specific characteristics of OIS before and after the policy change in 2013. RESULTS: χ2 tests found that the firearm pointing policy was associated with a reduction in the proportion of 'threat perception failure' shootings (ie, those where an officer mistakes an item for a gun). Auto Regressive Integrated Moving Average analysis found that the policy change was associated with a gradual, permanent reduction in total OIS; however, that impact was not immediate. CONCLUSIONS: Firearm pointing policies have the potential to alter organisational behaviour, particularly in highly discretionary shootings. It is unclear whether the specific mechanisms for the changes include more accountability through constrained discretion, reduced options to handle situations once officers' guns are drawn and pointed, or an effect on officers' timing and vision during ambiguous scenarios. POLICY IMPLICATIONS: Although organisational change may be a long and complex process, reductions in OIS can prevent serious injuries and death. The policy change did not lead to an increase in the proportion of officers injured during OIS incidents.

Staying Home, Staying Safe? A Short-Term Analysis of COVID-19 on Dallas Domestic Violence.

COVID-19 has wreaked havoc on the lives of persons around the world and social scientists are just beginning to understand its consequences on human behavior. One policy that public health officials put in place to help stop the spread of the virus were stay-at-home/shelter-in-place lockdown-style orders. While designed to protect people from the coronavirus, one potential and unintended consequence of such orders could be an increase in domestic violence - including abuse of partners, elders or children. Stay-at-home orders result in perpetrators and victims being confined in close quarters for long periods of time. In this study, we use data from Dallas, Texas to examine the extent to which a local order was associated with an increase in domestic violence. Our results provide some evidence for a short-term spike in the 2 weeks after the lockdown was instituted but a decrease thereafter. We note that it is difficult to determine just how much the lockdown was the cause of this increase as the domestic violence trend was increasing prior to the order.

Cumulative, high-stress calls impacting adverse events among law enforcement and the public.

BACKGROUND: The unpredictable, and sometimes dangerous, nature of the occupation exposes officers to both acute and chronic stress over law enforcement officers' (LEO)  tenure. The purpose of this study is two-fold: 1) Describe multi-level characteristics that define high-stress calls for service for LEO; and 2) Characterize factors that impact cumulative stress over the course of a LEO's shift. METHODS: Qualitative data were collected from 28 LEOs at three law enforcement agencies in the Dallas-Fort Worth areas from April 2019 to February 2020. Focus group data were iteratively coded by four coders using inductive and deductive thematic identification. RESULTS: Five multi-level factors influenced officer stress: 1) officer characteristics (e.g. military experience; gender); 2) civilian behavior (e.g. resistance, displaying a weapon); 3) supervisor factors (micromanagement); 4) environmental factors (e.g. time of year); and, 5) situational factors (e.g. audience present; complexity of calls). Four themes that characterized cumulative stress: 1) cyclical risk; 2) accelerators; 3) decelerators; and 4) experience of an adverse event. CONCLUSIONS: LEOs become susceptible to adverse events (e.g. injury, excessive use of force) after repeated exposure to high-stress calls for service. Ongoing exposures to stress continue to occur throughout the shift. Our long-term goal is to interrupt this repetitive, cumulative process by restricting the number of consecutive high-risk, high-intensity calls an officer is permitted to respond to.

Factors associated with civilian and police officer injury during 10 years of officer-involved shooting incidents.

BACKGROUND: Previous officer-involved shooting (OIS) research has focused primarily on antecedents to fatal shootings, with few studies investigating injury more broadly. Our study examined the factors associated with fatal or non-fatal injury to both civilians and officers during OIS incidents, to better understand how harm might be reduced in the most extreme law enforcement scenarios. METHODS: Data included 281 officers involved in 177 unique shooting incidents recorded by Dallas Police Department between 2005 and 2015. Bivariate logistic regression and multivariable generalised estimation equation analyses were used to investigate incident characteristics associated with fatal or non-fatal injury to civilians and officers. RESULTS: Civilian injury occurred in 61% and officer injury in 14% of unique OIS incidents. In adjusted models, multiple shooting officers increased the odds of injury to both civilians (adjusted OR (AOR): 3.22, 95% CI 1.39 to 7.50) and officers (AOR 4.73, 95% CI 1.64 to 13.65). Odds of civilian injury were also significantly higher during the daytime and among non-Hispanic white compared with non-Hispanic black and Hispanic/Latina/o civilians, although a majority of OIS incidents (79%) involved non-Hispanic black or Hispanic/Latino/a civilians. Odds of officer injury were significantly higher for detectives compared with patrol (AOR=9.32, 95% CI 1.85 to 47.03) and during off-duty versus on-duty shootings (AOR=5.23, 95% CI 1.37 to 19.99). CONCLUSIONS: Both civilians and officers are at risk for injury during OIS incidents, though to different degrees and with unique risk factors. Additional research is needed to understand whether these results are replicated elsewhere and to further understand the mechanisms of injury.

Does military veteran status and deployment history impact officer involved shootings? A case-control study.

BACKGROUND: Despite veterans' preference hiring policies by law enforcement agencies, no studies have examined the nature or effects of military service or deployments on health outcomes. This study will examine the effect of military veteran status and deployment history on law enforcement officer (LEO)-involved shootings. METHODS: Ten years of data were extracted from Dallas Police Department records. LEOs who were involved in a shooting in the past 10 years were frequency matched on sex to LEOs never involved in a shooting. Military discharge records were examined to quantify veteran status and deployment(s). Multivariable logistic regression was used to estimate the effect of veteran status and deployment history on officer-involved shooting involvement. RESULTS: Records were abstracted for 516 officers. In the adjusted models, veteran LEOs who were not deployed were significantly more likely to be involved in a shooting than non-veteran officers. Veterans with a deployment history were 2.9 times more likely to be in a shooting than non-veteran officers. CONCLUSIONS: Military veteran status, regardless of deployment history, is associated with increased odds of shootings among LEOs. Future studies should identify mechanisms that explain this relationship, and whether officers who experienced firsthand combat exposure experience greater odds of shooting involvement.

Gradual escalation of use-of-force reduces police officer injury.

OBJECTIVE: To examine how escalation through the force continuum predicts officer injury in the presence of citizen aggression, while controlling for extraneous factors, like citizen and officer characteristics. METHODS: Cross-sectional data were extracted from 2244 use-of-force reports from the Dallas Police Department in 2015. Multilevel, mixed logistic regression models were used to evaluate the relationship between use of force and officer injury. Multilevel path analysis tested indirect and direct relationships between citizen aggression and officer injury. RESULTS: Results suggest that gradual escalation through the force continuum significantly decreases officer injury when a citizen is actively aggressive (ß=-1.06, p value <0.001). Further, non-Hispanic black officers (ß=-0.22, p value <0.001) and Hispanic officers (ß=-0.08, p value <0.05) are less likely to gradually escalate through the force continuum, due to lower odds of verbal commands (black: OR=0.51, 95% CI 0.39 to 0.68; Hispanic: OR=0.77, 95% CI 0.60 to 0.99) and hard-empty hand control (black: OR=0.58, 95% CI 0.43 to 0.77) compared with white officers. Finally, officers with higher tenure (ß=-0.01, p value <0.001) are less likely to gradually escalate through the force continuum. CONCLUSIONS: Escalation through the force continuum significantly reduces police officer injury. Future research should assess whether further environmental or situational factors contribute to the strong relationship between use of force and officer injury. Also, reliability and validity testing of use-of-force reports is an imperative direction for future research.

Dissecting the Complexities of the Relationship Between Police Officer-Civilian Race/Ethnicity Dyads and Less-Than-Lethal Use of Force.

OBJECTIVES: To examine how sublethal use-of-force patterns vary across officer-civilian race/ethnicity while accounting for officer-, civilian-, and situational-level factors. METHODS: We extracted cross-sectional data from 5630 use-of-force reports from the Dallas Police Department in 2014 and 2015. We categorized each officer-civilian interaction into race/ethnicity dyads. We used multilevel, mixed logistic regression models to evaluate the relationship between race/ethnicity dyads and the types of use of force. RESULTS: Forty-eight percent of use-of-force interactions occurred between a White officer and a non-White civilian (White-non-White). In bivariate models, the odds of hard-empty hand control and intermediate weapon use were significantly higher among White-Black dyads compared with White-White dyads. The bivariate odds of intermediate weapon use were also significantly higher among Black-Black, Hispanic-White, Black-Hispanic, and Hispanic-Black dyads compared with White-White dyads. However, after we controlled for individual and situational factors, the relationship between race/ethnicity dyad and hard-empty hand control was no longer significant. CONCLUSIONS: Although we observed significant bivariate relationships between race/ethnicity dyads and use of force, these relationships largely dissipated after we controlled for other factors.

Rethinking police training policies: large class sizes increase risk of police sexual misconduct.

BACKGROUND: The limited research on police sexual misconduct (PSM), a common form of police misconduct, suggests that no evidence-based strategies for prevention are available for use by police departments. To identify new avenues for prevention, we critically evaluated 'front-end' police recruiting, screening, hiring and training procedures. METHODS: Internal Affairs records were linked with administrative reports and police academy graduation data for officers accused of sexual assault or misconduct between 1994 and 2014. Logistic and proportional hazards regression methods were used to identify predictors of discharge for sustained allegations of PSM and time to discharge, respectively. RESULTS: Officer's graduating class size was positively associated with odds of discharge for PSM. For every one-officer increase in class size, the rate of discharge for PSM increased by 9% [hazard ratio (HR) = 1.09, P < 0.01]. For particularly large classes (>35 graduates), discharge rates were at least four times greater than smaller classes (HR = 4.43, P < 0.05). CONCLUSIONS: Large class sizes and more annual graduates increase rates of PSM. Officer recruitment strategies or training quality may be compromised during periods of intensive hiring. Trainee to instructor ratios or maximum class sizes may be instituted by academies to ensure that all police trainees receive the required supervision, one-on-one training, feedback and attention necessary to maximize public safety.