Methods and Findings from the National Violent Death Reporting System for Identifying Gang-Like Homicides, 2005-2008.

BACKGROUND: The National Violent Death Reporting System (NVDRS) captures homicides that law enforcement or coroner/medical examiners deem as gang-related but the criteria used may vary across locations. Also, the existing gang-related variable likely underestimates the number of homicides that are associated with gang activity. This study utilizes NVDRS data to identify "gang-like" homicides which are not currently captured as "gang-related." METHODS: A set of criteria recommended by a panel of experts in gang violence, was applied to homicides collected in the NVDRS. These criteria, termed "gang-like" characteristics, were developed in order to better identify homicides consistent with gang activity. The narratives of the identified cases were then reviewed to refine the operational standard. After the reviews were complete, the typology was modified to finalize the operationalization of "gang-like" homicides. RESULTS: A total of 481 gang-like homicides were identified using the "gang-like" criteria. This represents an increase of almost 69% over the 696 gang-related homicides captured in NVDRS dataset. Gang-like and gang-related homicides combined represented 6.6% of homicides that occurred from 2005 to 2008. Among the 16 states included in this analysis, Colorado (15.5%) and Oklahoma (14%) had the highest percentage of homicides that were either gang-related or gang-like. Maryland had the greatest relative increase (227.3%) between gang related and gang-like homicides. CONCLUSION: The new "gang-like" variable complements the existing "gang-related" variable by providing an automated, standardized way to identify homicides that have circumstances consistent with gang activity. This new variable might be useful to states and localities seeking an efficient way to monitor homicides potentially resulting from gang activity. Additional efforts are needed to standardize the reporting of homicides associated with gang activity.

Increase in suicides associated with home eviction and foreclosure during the US housing crisis: findings from 16 National Violent Death Reporting System States, 2005-2010.

OBJECTIVES: We aimed to determine the frequency, characteristics, and precipitating circumstances of eviction- and foreclosure-related suicides during the US housing crisis, which resulted in historically high foreclosures and increased evictions beginning in 2006. METHODS: We examined all eviction- and foreclosure-related suicides in the years 2005 to 2010 in 16 states in the National Violent Death Reporting System, a surveillance system for all violent deaths within participating states that abstracts information across multiple investigative sources (e.g., law enforcement, coroners, medical examiners). RESULTS: We identified 929 eviction- or foreclosure-related suicides. Eviction- and foreclosure-related suicides doubled from 2005 to 2010 (n=88 in 2005; n=176 in 2010), mostly because of foreclosure-related suicides, which increased 253% from 2005 (n=30) to 2010 (n=106). Most suicides occurred before the actual housing loss (79%), and 37% of decedents experienced acute eviction or foreclosure crises within 2 weeks of the suicide. CONCLUSIONS: Housing loss is a significant crisis that can precipitate suicide. Prevention strategies include support for those projected to lose homes, intervention before move-out date, training financial professionals to recognize warning signs, and strengthening population-wide suicide prevention measures during economic crises.

The effect of insurance status, race, and gender on ED disposition of persons with traumatic brain injury.

The objective of this study was to assess the effect of insurance status and demographic characteristics on ED disposition among patients with traumatic brain injury (TBI). Statewide hospital discharge and ED datasets in South Carolina, 1996-2001, were analyzed by primary or secondary diagnosis of TBI in a multivariable logistic regression model. Of 70,671 unduplicated patients with TBI evaluated in the ED, 76% were treated and released; 26% had no insurance. The strongest predictors of hospital admission were TBI severity and preexisting health conditions. However, the uninsured and black females were less likely to be hospitalized after adjusting for demographic, clinical, and hospital characteristics (odds ratio [OR], 0.52; 95% confidence interval [CI], 0.48-0.55 and OR, 0.79; CI, 0.72-0.87, respectively). Although this study does not infer causality, insurance status, race, and gender were significant predictors of hospital admission. These results suggest that inpatient resources are not equitably used.