Bridging the Gap: Hospital Community-Based Youth Violence Prevention Program—Pitfalls and Lessons Learned

Aboutanos, Michel B.; Jordan, Anne; Goldberg, Solomon C.; Foster, Robert J.; Garland, Sheryl L.

doi:10.1007/s40719-017-0084-0

Cited by 9 publications

(5 citation statements)

References 22 publications

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“…Collaborative hospital-based violence prevention programs (HVIPs) that offer in-hospital brief intervention and community case management services have been found to improve utilization of hospital and community resources, reduce individual risk factors for violence (e.g., substance use), reduce reinjury and mortality rates, and improve follow-up with mental health services. [28][29][30][31][32] Integration of models like TRRP with HVIP-based approaches may improve the engagement of patients with a violent injury and the overall quality of social and health care services that they receive in trauma centers. Our own institution initiated an HVIP within the last year with the goal of improving outcomes after violence and reducing risk of reinjury.…”

Section: Discussionmentioning

confidence: 99%

“…One possible modification to TRRP to address challenges in reaching patients with a violent injury is to hire case managers who can help address social risk factors (e.g., financial stressors, community violence, food insecurity, job instability) by connecting with patients more frequently in the weeks and months after their injury to connect them to services as needed. Collaborative hospital-based violence prevention programs (HVIPs) that offer in-hospital brief intervention and community case management services have been found to improve utilization of hospital and community resources, reduce individual risk factors for violence (e.g., substance use), reduce reinjury and mortality rates, and improve follow-up with mental health services 28–32 . Integration of models like TRRP with HVIP-based approaches may improve the engagement of patients with a violent injury and the overall quality of social and health care services that they receive in trauma centers.…”

Section: Discussionmentioning

confidence: 99%

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Mental health symptoms and engagement in a stepped-care mental health service among patients with a violent versus nonviolent injury

O’Connor

Shanholtz

Espeleta

et al. 2023

J Trauma Acute Care Surg

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BACKGROUND:Few studies have examined mental health symptom trajectories and engagement in mental health follow-up in relation to mechanism of injury. This study examined differences in engagement between survivors of nonviolent and violent injury in the Trauma Resilience and Recovery Program (TRRP), a stepped-care, technology-enhanced model that provides evidence-based mental health screening and treatment to patients admitted to our Level I trauma service. METHODS:This study analyzed data from 2,527 adults enrolled in TRRP at hospital bedside between 2018 and 2022, including 398 patients (16%) with a violent injury and 2,129 patients (84%) with a nonviolent injury. Bivariate and hierarchical logistic regression analyses examined relations between injury type (violent vs. nonviolent) engagement in TRRP and mental health symptoms at 30 day follow-up. RESULTS:Engagement in services at bedside was similar across survivors of violent and nonviolent traumatic injury. Patients with violent injury had higher levels of posttraumatic stress disorder and depressive symptoms 30 days postinjury but were less likely to engage in mental health screening. Among patients who screened positive for posttraumatic stress disorder and depression, patients with violent injury were more likely to accept treatment referrals. CONCLUSION:Patients with a violent traumatic injury have higher levels of mental health needs yet face greater barriers to accessing mental health services following their injury relative to those with a nonviolent injury. Effective strategies are needed to ensure continuity of care and access to mental health care to promote resilience and emotional and functional recovery.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Mental health symptoms and engagement in a stepped-care mental health service among patients with a violent versus nonviolent injury

O’Connor

Shanholtz

Espeleta

et al. 2023

J Trauma Acute Care Surg

View full text Add to dashboard Cite

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“…Experts have called the implications of cross-sector data sharing "staggering" 33 and a solution to "undoubtedly the biggest detriment to program growth and the least [client]-centered approach" to violence prevention service delivery. 34 Data silos inhibit the understanding of complex public health issues such as community violence, as well as the design and evaluation of solutions, and reduce the individual quality of care for those struggling with a variety of support needs.…”

Section: Discussionmentioning

confidence: 99%

A Replicable, Solution-Focused Approach to Cross-Sector Data Sharing for Evaluation of Community Violence Prevention Programming

Mayfield

Siegal

Herring

et al. 2022

Journal of Public Health Management and Practice

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Context: Community violence is a public health problem that erodes social infrastructure. Structural racism contributes to the disparate concentration of violence in communities of color. In Mecklenburg County, North Carolina, increasing trends in community violence show racial and geographic disparities that emphasize the need for cross-sector, data-driven approaches to program and policy change. Cross-sector collaborations are challenged by data sharing barriers that hinder implementation. Program: In response to community advocacy, Mecklenburg County Public Health (MCPH) launched a Community Violence Prevention Plan with evidence-based programming. The Cure Violence (CV) model, a public health approach to disrupting violence through equitable resource provision, network building, and changing norms, was implemented at the community level. The Health Alliance for Violence Intervention (HAVI) model, a hospital-based screening and case management intervention for victims of violence, was implemented at Carolinas Medical Center in Charlotte, the region's only level I trauma center. Methods: A data collaborative was created to optimize evaluation of CV and HAVI programs including MCPH, the city of Charlotte, Atrium Health, Charlotte-Mecklenburg Schools, Johnson C. Smith University, and the University of North Carolina Charlotte. A comprehensive approach to facilitate data sharing was designed with a focus on engaging stakeholders and generating solutions to commonly reported barriers. Structured interviews were used to inform a solution-focused strategy. Results: Stakeholders reported perceptions of their organization's barriers and facilitators to cross-sector data sharing. Common technology, legal, and governance barriers were addressed through partnership with a local integrated data system. Solutions for trust and motivational challenges were built into ongoing collaborative processes. Discussion: Data silos inhibit the understanding of complex public health issues such as community violence, along with the design and evaluation of collective impact efforts. This approach can be replicated and scaled to support cross-sector collaborations seeking to influence social and health inequities stemming from structural racism.

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“…Rates of homicide in the US are 7.50 times that of other high-income nations [ 1 ]. This problem is more pronounced in Richmond, VA, where the leading cause of death among young people is violence [ 2 ]. Epidemiological research has placed an emphasis on the environments in which violence is most likely to occur, revealing that waves of violence occur similarly to viral epidemics, spreading like a contagious disease [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Comparing forms of neighborhood instability as predictors of violence in Richmond, VA

et al. 2022

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Violence events tend to cluster together geospatially. Various features of communities and their residents have been highlighted as explanations for such clustering in the literature. One reliable correlate of violence is neighborhood instability. Research on neighborhood instability indicates that such instability can be measured as property tax delinquency, yet no known work has contrasted external and internal sources of instability in predicting neighborhood violence. To this end we collected data on violence events, company and personal property tax delinquency, population density, race, income, food stamps, and alcohol outlets for each of Richmond, Virginia’s 148 neighborhoods. We constructed and compared ordinary least-squares (OLS) to geographically weighted regression (GWR) models before constructing a final algorithm-selected GWR model. Our results indicated that the tax delinquency of company-owned properties (e.g., rental homes, apartments) was the only variable in our model (R2 = 0.62) that was associated with violence in all but four Richmond neighborhoods. We replicated this analysis using violence data from a later point in time which yielded largely identical results. These findings indicate that external sources of neighborhood instability may be more important to predicting violence than internal sources. Our results further provide support for social disorganization theory and point to opportunities to expand this framework.

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Bridging the Gap: Hospital Community-Based Youth Violence Prevention Program—Pitfalls and Lessons Learned

Cited by 9 publications

References 22 publications

Mental health symptoms and engagement in a stepped-care mental health service among patients with a violent versus nonviolent injury

Mental health symptoms and engagement in a stepped-care mental health service among patients with a violent versus nonviolent injury

A Replicable, Solution-Focused Approach to Cross-Sector Data Sharing for Evaluation of Community Violence Prevention Programming

Comparing forms of neighborhood instability as predictors of violence in Richmond, VA

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