Identifying overlaps and disconnects between media reports and official records of nonfatal firearm injuries in Indianapolis, Indiana, 2021-2022.

OBJECTIVE: Open-source data systems, largely drawn from media sources, are commonly used by scholars due to the lack of a comprehensive national data system. It is unclear if these data provide an accurate and complete representation of firearm injuries and their context. The study objectives were to compare firearm injuries in official police records with media reports to better identify the characteristics associated with media reporting. METHODS: Firearm injuries were identified in open-source media reports and compared to nonfatal firearm injury (n = 1642) data from official police records between January 1, 2021 to December 31, 2022 in Indianapolis, Indiana. Events were matched on date, location, and event circumstances. Four multivariate, multi-level mixed effects logistic regression models were conducted to assess which survivor, event, and community characteristics were associated with media reporting. Data were analyzed 2023 - January 2024. RESULTS: Media reported 41% of nonfatal shootings in 2021 and 45% in 2022(p < 0.05), which is approximately two out of every five shootings. Shootings involving multiple survivors, children, and self-defense were more likely to be reported, whereas unintentional shootings and shootings that occurred in structurally disadvantaged communities were less likely to be reported. CONCLUSIONS: Findings suggest that relying on media reports of firearm injuries alone may misrepresent the numbers and contexts of shootings. Public health interventions that educate journalists about these important issues may be an impactful firearm violence prevention strategy. Also, it is critical to link data systems at the local level to ensure interventions are designed and evaluated using accurate data.

Latent class analysis of emergency department patients engaged in telehealth peer recovery support services and associations of identified classes with post-discharge outcomes.

BACKGROUND: People with substance use disorders (SUDs) frequently use emergency department (ED) services. Despite evidence demonstrating that post-discharge SUD treatment linkage effectively reduces the number of ED re-presentations, relatively few hospitals have implemented interventions to identify and connect patients with SUDs to appropriate care. ED-based peer recovery support specialist (PRSS) interventions have emerged as a promising approach for hospitals, but more research is needed to understand the extent to which these interventions meet the needs of patients who present to the ED for different reasons and with various underlying concerns. METHOD: A retrospective cohort analysis used data from a telehealth PRSS program in 15 EDs within one Indiana hospital system. The study included 2950 ED patients who engaged with telehealth PRSS services between September 2018 and September 2021. Latent class analysis identified patterns of patient characteristics associated with post-discharge PRSS engagement and ED re-presentations. Covariate predictors and distal outcomes were assessed to examine the associations between class membership, demographic factors, and patient outcomes. RESULTS: The study team selected a six-class model as the best fit for the data. Class 1, representing patients with opioid use disorder and mental health diagnoses who presented to the ED for an opioid overdose, was used as the reference class for all other statistical tests. Multinomial logistic regression analysis demonstrated significant associations between covariate predictors, outcomes, and class membership. Regression results also demonstrate PRSSs had greater success contacting patients with prior year ED use and patients with a successful post-discharge PRSS contact were less likely to re-present to the ED. CONCLUSION: Results highlight the heterogeneity of patients with SUDs and emphasize the need for tailored interventions to address patient-specific needs more effectively. They also provide support for the perceived utility of PRSS engagement for ED patients.

Engagement With Mental Health Services Among Survivors of Firearm Injury.

Importance: Despite the prevalence of posttraumatic stress symptoms after firearm injury, little is known about how firearm injury survivors connect with mental health services. Objective: To determine facilitators and barriers to mental health care engagement among firearm injury survivors. Design, Setting, and Participants: A qualitative study of 1-on-1, semistructured interviews conducted within a community setting in Indianapolis, Indiana, between June 2021 and January 2022. Participants were recruited via community partners and snowball sampling. Participants who survived an intentional firearm injury, were shot within Indianapolis, were aged 13 years or older, and were English speaking were eligible. Participants were asked to discuss their lives after firearm injury, the emotional consequences of their injury, and their utilization patterns of mental health services. Data were analyzed from August 2022 to June 2023. Main Outcomes and Measures: Survivors' lived experience after firearm injury, sources of emotional support, mental health utilization, and their desired engagement with mental health care after firearm injury. Results: A total of 18 participants (17 were Black [94%], 16 were male [89%], and 14 were aged between 13 and 24 years [77%]) who survived a firearm injury were interviewed. Survivors described family members, friends, and informal networks as their main source of emotional support. Barriers to mental health care utilization were perceived as a lack of benefit to services, distrust in practitioners, and fear of stigma. Credible messengers served as facilitators to mental health care. Survivors also described the emotional impact their shooting had on their families, particularly mothers, partners, and children. Conclusions and Relevance: In this study of survivors of firearm injury, findings illustrated the consequences of stigma and fear when seeking mental health care, inadequate trusted resources, and the need for awareness of and access to mental health resources for family members and communities most impacted by firearm injury. Future studies should evaluate whether community capacity building, digital health delivery, and trauma-informed public health campaigns could overcome these barriers to mitigate the emotional trauma of firearm injuries to reduce health disparities and prevent future firearm violence.

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.

Dual public health crises: the overlap of drug overdose and firearm injury in Indianapolis, Indiana, 2018-2020.

BACKGROUND: Drug overdose and firearm injury are two of the United States (US) most unrelenting public health crises, both of which have been compounded by the COVID-19 pandemic. Programs and policies typically focus on each epidemic, alone, which may produce less efficient interventions if overlap does exist. The objective is to examine whether drug overdose correlates with and is associated with firearm injury at the census tract level while controlling for neighborhood characteristics. METHODS: An ecological study of census tracts in Indianapolis, Indiana from 2018 to 2020. Population rates per 100,000 and census tracts with the highest overlap of overdose and firearm injury were identified based on spatial clusters. Bivariate association between census tract characteristic and drug overdose and firearm violence rate within spatial clusters. Zero-inflated negative binominal regression was used to estimate if the drug overdose activity is associated with higher future firearm injury. RESULTS: In high overdose-high firearm injury census tracts, rates of firearm injury and drug overdose are two times higher compared to city wide rates. Indicators of structural disadvantage and structural racism are higher in high overdose-high firearm injury census tracts compared to city-wide averages. Drug overdoses are associated with higher rates of firearm injury in the following year (IRR: 1.004, 95% CI 1.001, 1.007, p < 0.05), adjusting for census tract characteristics and spatial dependence. CONCLUSIONS: Drug overdose and firearm injury co-spatially concentrate within census tracts. Moreover, drug overdoses are associated with future firearm injury. Interventions to reduce firearm injuries and drug overdoses should be a co-response in high drug overdose-high firearm injury communities.

Healthcare utilization and mental health outcomes among nonfatal shooting assault victims.

Victims of nonfatal shooting (NFS) assaults suffer from emotional and physical trauma; however, little is understood about clinical care utilization patterns among victims. This study examines the healthcare utilization and mental health outcomes before and after an index NFS victimization. A longitudinal dataset of police and clinical data were linked at the individual level to define a cohort of NFS victims with one or more clinical encounter in the 24-months preceding an index NFS injury (N = 2,681) in Indianapolis, Indiana between 2005 and 2018. Mental health was defined using ICD diagnosis codes from any emergency department, inpatient, or outpatient encounter and clinical care utilization was the number of unique encounters within the 24-months preceding and following an index NFS injury. Multivariable logistic regression was conducted to examine factors associated with a mental health diagnosis in the post injury period. Analyses were conducted in October 2021-March 2022. Overall clinical care utilization (Mean: pre = 277.7 (SD 235.3) vs. post = 333.9 (SD 255.1), p < 0.001) and mental health prevalence (14.4% pre vs. 18.8% post, p < 0.001) increased in the 24-months following an index NFS compared to the prior 24-months. Preinjury mental health utilization increased the odds of receiving a mental health diagnosis in the 24-months following an index NFS injury - particularly for Black victims (Odds Ratio 1.69, 95% CI 1.01, 2.85). The findings indicate missed opportunities within the healthcare system to connect NFS victims with needed mental health services, as well as the importance of premorbid connection to mental health care.

Changing epidemiology of firearm injury: a cohort study of non-fatal firearm victimisation before and during the COVID-19 pandemic, Indianapolis, Indiana.

OBJECTIVE: To examine victimisation rates, geographic patterns and neighbourhood characteristics associated with non-fatal firearm injury rates before and during the COVID-19 pandemic. DESIGN: A retrospective cohort study. SETTING: City of Indianapolis, Indiana, USA, 1 January 2017-30 June 2021. PARTICIPANTS: Intentional non-fatal firearm injury victims from Indianapolis Metropolitan Police Department records. The study included information on 2578 non-fatal firearm injury victims between ages 0 and 77 years. Of these victims, 82.5% were male and 77.4% were black. PRIMARY AND SECONDARY OUTCOME MEASURES: Rates of non-fatal firearm injuries per 100 000 population by victim age, race, sex and incident motive. Prepandemic and peripandemic non-fatal firearm injury rates. RESULTS: Non-fatal shooting rates increased 8.60%, from 57.0 per 100 000 person-years in prepandemic years to 65.6 per 100 000 person-years during the pandemic (p<0.001). Rates of female victims (15.2 vs 23.8 per 100,000; p<0.001) and older victims (91.3 vs 120.4 per 100,000; p<0.001) increased significantly during the pandemic compared with the prepandemic period. Neighbourhoods with higher levels of structural disadvantage (IRR: 1.157, 95% CI 1.012 to 1.324) and prepandemic firearm injury rates (IRR: 1.001, 95% CI 1.001 to 1.002) was positively associated with higher rates of non-fatal firearm injuries during the pandemic, adjusting for neighbourhood characteristics. CONCLUSIONS: Non-fatal firearm injuries increased significantly during the COVID-19 pandemic, particularly among female and older victims. Efforts are needed to expand and rethink current firearm prevention efforts that both address the diversification of victimisation and the larger societal trauma of firearm violence.

The point of diminishing returns in juvenile probation: Probation requirements and risk of technical probation violations among first-time probation-involved youth.

Technical probation violations are common among probation-involved youth, and across many jurisdictions, may result in detention or residential placement. The current study examined prevalence of technical violations occurring during one's first probation period, the average time to technical violation, and individual-level and justice-related factors related to technical violations among probation-involved youth in a juvenile justice system. We analyzed electronic criminal records of 18,289 probation-involved youth following their first arrest (68.7% male, 53.9% Black, Mage=15.2). Technical violation was defined as a violation resulting from a non-criminal incident. We examined effects of charge severity, probation conditions (e.g., electronic monitoring) and program referrals (e.g., mental health) on likelihood of technical violation utilizing survival analysis stratified by race. Across 18,289 youth, 15.3% received a technical violation during their first probation; Black youth violated more quickly compared to White youth (log-rank test p<.001). In multivariate survival analyses, the hazard for time to technical violation was higher for Black youth compared to white youth (p<.001), males (p=.04), and younger youth (p<.001). Youth assigned to more probation requirements violated more quickly. Electronic monitoring and education, mental health, and drug programs were associated with shorter time to violation, controlling for race, ethnicity, and charge severity. Black youth violate more quickly compared to White youth. Across all youth, assignment to more probation requirements increased risk of technical violation and shorter time to violation. Despite the benefit of probation interventions, system-level efforts are needed to help youth adhere to probation requirements and successfully complete probation.

Identifying nonfatal firearm assault incidents through linking police data and clinical records: Cohort study in Indianapolis, Indiana, 2007-2016.

Nonfatal firearm assault incidents are more prevalent than gun homicides, however, little is understood about nonfatal firearm assault incidents due to a lack of accurate data in the United States. This is a descriptive study of all nonfatal firearm assault incidents identified through police and clinical records from 2007 to 2016 in Indianapolis, Indiana. Records were linked at the incident level to demonstrate the overlap and non-overlap of nonfatal firearm assault incidents in police and clinical records and describe differences in demographic characteristics of the victims. Incidents were matched within a 24-h time window of the recorded date of the police incident. Data were analyzed in fall 2020. There were 3797 nonfatal firearm assault incidents identified in police reports and 3131 clinical encounters with an ICD 9/10 diagnosis-based nonfatal firearm-related injury. 62% (n = 2366) of nonfatal firearm assault incidents matched within 24 h to a clinical encounter, 81% (n = 1905) had a firearm related ICD code: 40% (n = 947) were coded as a firearm-related assault, 32% (n = 754) were coded as a firearm-related accident; and 8.6% (n = 198) were coded as undetermined, self-inflicted or law enforcement firearm-related. The other 20% (n = 461) did not have an ICD firearm related diagnosis code. Results indicate most nonfatal firearm assault incidents overlap between police and clinical records systems, however, discrepancies between the systems exist. These findings also demonstrate an undercounting of nonfatal firearm assault incidents when relying on clinical data systems alone and more efforts are needed to link administrative police and clinical data in the study of nonfatal firearm assaults.

Two-year prevalence rates of mental health and substance use disorder diagnoses among repeat arrestees.

BACKGROUND: Individuals with mental illness and co-occurring substance use disorders often rapidly cycle through the justice system with multiple arrests. Therefore, is it imperative to examine the prevalence of mental health and substance use diagnoses among arrestees and repeat arrestees to identify opportunities for intervention. METHODS: We linked police arrest and clinical care data at the individual level to conduct a retrospective cohort study of all individuals arrested in 2016 in Indianapolis, Indiana. We classified arrestees into three levels: 1 arrest, 2 arrests, or 3 or more arrests. We included data on clinical diagnoses between January 1, 2014 and December 31, 2015 and classified mental health diagnoses and substance use disorder (SUD) based on DSM categories using ICD9/10 diagnoses codes. RESULTS: Of those arrested in 2016, 18,236 (79.5%) were arrested once, 3167 (13.8%) were arrested twice, and 1536 (6.7%) were arrested three or more times. In the 2 years before the arrest, nearly one-third (31.3%) of arrestees had a mental health diagnosis, and over a quarter (27.7%) of arrestees had an SUD diagnosis. Most of those with a mental health or SUD diagnosis had both (22.5% of all arrestees). Arrestees with multiple mental health (OR 2.68, 95% CI 2.23, 3.23), SUD diagnoses (OR 1.59, 95% CI 1.38, 1,82), or co-occurring conditions (1.72, 95% CI 1.48, 2.01) in the preceding 2 years had higher odds of repeat arrest. CONCLUSIONS: Our findings show that linked clinical and criminal justice data systems identify individuals at risk of repeat arrest and inform opportunities for interventions aimed at low-level offenders with behavioral health needs.

Sexually Transmitted Infections in Association With Area-Level Prostitution and Drug-Related Arrests.

OBJECTIVES: This study aimed to examine the mediators and moderators of area-level prostitution arrests and sexually transmitted infections (STIs) using population-level data. METHODS: Using justice and public health STI/HIV data in Marion County (Indianapolis), Indiana, during an 18-year period, we assessed the overall association of area-level prostitution and drug-related arrests and STI/HIV, and mediators and moderators of the relationship. Point-level arrests were geocoded and aggregated by a census block group. RESULTS: Results indicate a positive relationship between numbers of prostitution arrests and area-level STI rates. There was a dose-response relationship between prostitution arrests and STI rates when accounting for drug-related arrests. The highest quintile block groups had significantly higher rates of reported chlamydia (incident rate ratio [IRR], 3.29; 95% confidence interval [CI], 2.82-3.84), gonorrhea (IRR, 4.73; 95% CI, 3.90-5.57), syphilis (IRR, 4.28; 95% CI, 3.47-5.29), and HIV (IRR, 2.76; 95% CI, 2.24-3.39) compared with the lowest quintile. When including drug arrests, the second (IRR, 1.19; 95% CI, 1.03-1.38) and the third (IRR, 1.20; 95% CI, 1.02-1.41) highest quintile block groups had lower IRR for reported rates of chlamydia, indicating that drug arrests mediated the prostitution arrest effect. CONCLUSIONS: These findings inform public health agencies and community-based organizations that conduct outreach in these areas to expand their efforts to include harm reduction and HIV/STI testing for both sex workers and individuals experiencing substance use disorder. Another implication of these data is the importance of greater collaboration in public health and policing efforts to address overlapping epidemics that engage both health and legal interventions.

Neighborhood variation in unsolved homicides: a retrospective cohort study in Indianapolis, Indiana, 2007-2017.

BACKGROUND: Homicide is a widely acknowledged public health problem in the United States. The majority of homicides are committed with a firearm and have long-term health consequences for family members and entire communities. When left unsolved, violence may be perpetuated due to the retaliatory nature of homicides. Improving homicide clearance rates may help prevent future violence, however, we know little about the community-level social dynamics associated with unsolved homicides. METHODS: This study examines the individual-and-community-level social processes associated with low homicide clearance rates in Indianapolis, Indiana between 2007 and 2017. Homicide clearance is the primary outcome, defined as if a perpetrator was arrested for that homicide case between 2007 and 2017. Individual-level variables include the victim's race/ethnicity, sex, and age. Community-level (i.e., census tracts) variables include the number of resident complaints against the police, resident complains of community disorder, income inequality, number of police interactions, and proportion of African American residents. RESULTS: In Indianapolis over a 11-year period, the homicide clearance rate decreased to a low of 38% in 2017, compared to a national clearance rate of 60%. Homicide case clearance was less likely for minority (OR 0.566; 95% CI, 0.407-0.787; p < 0.01) and male (OR 0.576; 95% CI, 0.411-0.807; p < 0.01) victims. Resident complaints of community disorder were associated with a decreased odds of case clearance (OR 0.687; 95% CI, 0.485-0.973; p < .01)., African American victim's cases were less likely to be cleared in 2014-2017 (OR 0.640; 95% CI, 0.437-0.938; p < 0.05), compared to 2007. CONCLUSIONS: Our study identified differences in neighborhood social processes associated with homicide clearance, indicating existing measures on these community factors are complex. Programs aimed at improving signs of community disorder and building community engagement may improve neighborhood clearance rates, lower violence, and improve the health of these communities.

Patterns of drug screen results and court-ordered substance use treatment referrals and completion among justice-involved youth.

BACKGROUND: Substance use is prevalent among justice-involved youth and given the risk of recidivism and other poor outcomes associated with substance use, justice systems have implemented efforts to improve substance use screening and connection to treatment. Although many justice systems use drug screening to monitor substance use, research on patterns of substance use based on drug screen records is lacking. The current study examined court records of drug screens among youth to explore patterns of substance use as well as rates of court-ordered referral to substance use treatment and treatment completion. We also examined differences in these patterns of use and treatment referral and completion by race, ethnicity, and gender. METHOD: We examined court records for N = 3440 youth with records of positive oral drug screen (ODS) between 2011 and 2016 to assess patterns of ODS results (e.g., number and of positive screens), court-ordered referrals to substance use treatment, and rates of treatment completion. RESULTS: Of 3440 youth with a positive ODS, 96% tested positive for cannabis and 9.8% for opioids at least once; 48.5% were court-ordered to substance use treatment. Of those referred, 67% had history of completing at least one treatment episode; black youth (OR = 0.54, p < .01) were less likely to have history of completing substance use treatment. CONCLUSION: Our results underscore the need to utilize objective measures as well as validated self-reports of substance use history in both research and justice system decision-making to aid in identifying youth in need of services. Additional research should identify barriers to substance use treatment completion among this population.

Patterns of adolescent gun carrying and gun-related crime arrests in Indianapolis, Indiana over an 11-year time period.

Adolescent males are disproportionately affected by homicide as both victims and offenders. Indianapolis has seen increases in youth homicides over the past few years; gun carrying increases an individual's risk for involvement in firearm violence. It is unclear how often youth are arrested for gun carrying and gun-related crimes. Examining these patterns may identify an opportunity for intervention. This study is a descriptive epidemiology analysis that examines patterns of gun carrying and gun-related crime arrests among justice involved youth in Marion County (Indianapolis), Indiana. We accessed juvenile court records from January 1, 2006 to December 31, 2016 on all individuals arrested for a gun carrying offense (i.e., illegal possession of a firearm or gun; n = 711) and all individuals arrested for a gun-related crime (i.e., homicide, robbery, aggravated assault; n = 150). Data were analyzed in fall 2019. Proportions of juvenile arrests for both gun carrying (47.0 per 1000 arrests) and gun-related crime (25.4 per 1000 arrests) have substantially increased compared to ten-years ago (4.5 per 1000 arrests and 2.0 per 1000 arrests, respectively). Of those arrested, 27.7 per 100,000 population were arrested for a repeated gun-related offense; of which 21.5 per 100,000 were first arrested for gun carrying and 6.2 per 100,000 were arrested for a gun-related crime. The majority of gun-related repeat offenders were first arrested for gun carrying; therefore, these gun-carrying arrests may be an opportunity to intervene on an individual level by providing treatment, other needed resources, and discussing safe firearm storage with families and communities.

Community-Level Social Processes and Firearm Shooting Events: A Multilevel Analysis.

Firearm violence is a leading public health issue that contributes to significant health inequalities within communities. Relatively little is known about the community-level social processes that occur at the street segment level and contributed to the community variation of firearm violence. This study examines the spatial patterns of firearm shooting events on street segments and the associated community-level social processes at both the street segment and neighborhood level. Multilevel mixed-effects Poisson regression was used to assess the relationship between measures of social disorder, physical disorder, and collective efficacy at the street segment-level and neighborhood-level measures of social disorganization theory. The results demonstrate that firearm shooting events occur on a small number of street segments across the city. Street segments with higher levels of social and physical disorder, along with lower levels of collective efficacy, are expected to have higher rates of firearm shooting events when accounting for neighborhood-level measures. Overall, the findings indicate specific street segments are experiencing higher rates of firearm shooting events and that these events are influenced by social processes. Prevention efforts should be focused on street segments experiencing higher rates of shootings.

Firearm Ownership and Domestic Versus Nondomestic Homicide in the U.S.

INTRODUCTION: Gun ownership is associated with firearm mortality, although this association differs across victim-offender relationships. This study examines the relationship between gun ownership and domestic versus nondomestic homicide rates by victim sex. METHODS: Several sources of state-level panel data from 1990 through 2016 were merged from each of the 50 states to model domestic (i.e., family and intimate partners) and nondomestic firearm homicide as a function of state-level household firearm ownership. Firearm ownership was examined using a validated proxy measure and homicide rates came from the Supplemental Homicide Reports of the Federal Bureau of Investigation's Uniform Crime Reports. Negative binomial regression with fixed effects was used to model the outcomes and employed generalized estimating equations to account for clustering within states. Statistical analyses were completed in 2018. RESULTS: State-level firearm ownership was uniquely associated with domestic (incidence rate ratio=1.013, 95% CI=1.008, 1.018) but not nondomestic (incidence rate ratio=1.002, 95% CI=0.996, 1.008) firearm homicide rates, and this pattern held for both male and female victims. States in the top quartile of firearm ownership had a 64.6% (p<0.001) higher incidence rate of domestic firearm homicide than states in the lowest quartile; however, states in the top quartile did not differ significantly from states in the lowest quartile of firearm ownership in observed incidence rates of nondomestic firearm homicide. CONCLUSIONS: State-level firearm ownership rates are related to rates of domestic but not nondomestic firearm homicide.

A Solutions-Based Approach to Building Data-Sharing Partnerships.

INTRODUCTION: Although researchers recognize that sharing disparate data can improve population health, barriers (technical, motivational, economic, political, legal, and ethical) limit progress. In this paper, we aim to enhance the van Panhuis et al. framework of barriers to data sharing; we present a complementary solutions-based data-sharing process in order to encourage both emerging and established researchers, whether or not in academia, to engage in data-sharing partnerships. BRIEF DESCRIPTION OF MAJOR COMPONENTS: We enhance the van Panhuis et al. framework in three ways. First, we identify the appropriate stakeholder(s) within an organization (e.g., criminal justice agency) with whom to engage in addressing each category of barriers. Second, we provide a representative sample of specific challenges that we have faced in our data-sharing partnerships with criminal justice agencies, local clinical systems, and public health. Third, and most importantly, we suggest solutions we have found successful for each category of barriers. We grouped our solutions into five core areas that cut across the barriers as well as stakeholder groups: Preparation, Clear Communication, Funding/Support, Non-Monetary Benefits, and Regulatory Assurances.Our solutions-based process model is complementary to the enhanced framework. An important feature of the process model is the cyclical, iterative process that undergirds it. Usually, interactions with new data-sharing partner organizations begin with the leadership team and progress to both the data management and legal teams; however, the process is not always linear. CONCLUSIONS AND NEXT STEPS: Data sharing is a powerful tool in population health research, but significant barriers hinder such partnerships. Nevertheless, by aspiring to community-based participatory research principles, including partnership engagement, development, and maintenance, we have overcome barriers identified in the van Panhuis et al. framework and have achieved success with various data-sharing partnerships.In the future, systematically studying data-sharing partnerships to clarify which elements of a solutions-based approach are essential for successful partnerships may be helpful to academic and non-academic researchers. The organizational climate is certainly a factor worth studying also because it relates both to barriers and to the potential workability of solutions.

The Difference Between Living and Dying: Victim Characteristics and Motive Among Nonfatal Shootings and Gun Homicides.

Using both official and unofficial data sources, researchers examined nonfatal (n = 617) and fatal shooting (n = 159) victim characteristics over an 18-month period in Indianapolis. This research revealed that the typical shooting victim was male, non-White, almost 29 years old, had been arrested prior to inclusion in this study, and had been shot more than once. Interestingly, this research supports the notion that nonfatal shooting and homicide victims are different, especially as they relate to victim age, gunshot wound severity, and shooting motive. It highlights the need for better gun violence data collection beyond what currently exists. Striving for improved, more comprehensive cross-sector data collection has implications beyond just police policy and practice to include public health and prevention efforts.