OBJECTIVES/GOALS: As hospitals across the nation respond to the need to address community violence, there is a dearth of Hospital-based Violence Intervention Programs (HVIPs) in the South despite having disproportionate rates. This research aims to identify key factors and strategies for implementation of an HVIP among rural patient populations in a southern state. METHODS/STUDY POPULATION: Semi-structured interviews will be conducted with medical providers, social service organizations, and patients transferred from four high-risk rural areas in Arkansas. Data will be analyzed using Framework Analysis, a rapid analysis approach involving framework development, code application, impactful statement identification, and content analysis. Evidence- Based Quality Improvement (EBQI), a group consensus making process, will be conducted to identify key implementation strategies and factors to adapt based interview findings. Priority areas for adaptation will be identified via systematic rating. The EBQI team, including researchers and key rural stakeholders will engage in a series of discussion, vote on final strategies, and develop a guide for future HVIP implementation and pilot testing. RESULTS/ANTICIPATED RESULTS: Findings from this study will result in a prioritized list of barriers and facilitators across sample groups. Factors will be rated by level of importance. Cluster maps will display the relationships among factors. Go and no-go zones will be identified based on importance and feasibility. Implementation strategies will be mapped to barriers and facilitators. DISCUSSION/SIGNIFICANCE: The findings will result in a culturally and geographically relevant HVIP model and package of implementation strategies to test in future hybrid trials (feasibility pilot & multi-site RCT); and shape the future of violence prevention efforts in healthcare settings across the rural South.

The statistical distributions of cosmogenic nuclide measurements from moraine boulders contain previously unused information on moraine ages, and they help determine whether moraine degradation or inheritance is more important on individual moraines. Here, we present a method for extracting this information by fitting geomorphic process models to observed exposure ages from single moraines. We also apply this method to 94 10Be apparent exposure ages from 11 moraines reported in four published studies. Our models represent 10Be accumulation in boulders that are exhumed over time by slope processes (moraine degradation), and the delivery of boulders with preexisting 10Be inventories to moraines (inheritance). For now, we neglect boulder erosion and snow cover, which are likely second-order processes. Given a highly scattered data set, we establish which model yields the better fit to the data, and estimate the age of the moraine from the better model fit. The process represented by the better-fitting model is probably responsible for most of the scatter among the apparent ages. Our methods should help resolve controversies in exposure dating; we reexamine the conclusions from two published studies based on our model fits.