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African American (AA) women experience much greater mortality due to breast cancer (BC) than non-Latino Whites (NLW). Clinical patient navigation is an evidence-based strategy used by healthcare institutions to improve AA women's breast cancer outcomes. While empirical research has demonstrated the potential effect of navigation interventions for individuals, the population-level impact of navigation on screening, diagnostic completion, and stage at diagnosis has not been assessed. An agent-based model (ABM), representing 50-74-year-old AA women and parameterized with locally sourced data from Chicago, is developed to simulate screening mammography, diagnostic resolution, and stage at diagnosis of cancer. The ABM simulated three counterfactual scenarios: (1) a control setting without any navigation that represents the "standard of care"; (2) a clinical navigation scenario, where agents receive navigation from hospital-affiliated staff; and (3) a setting with network navigation, where agents receive clinical navigation and/or social network navigation (i.e., receiving support from clinically navigated agents for breast cancer care). In the control setting, the mean population-level screening mammography rate was 46.3% (95% CI: 46.2%, 46.4%), the diagnostic completion rate was 80.2% (95% CI: 79.9%, 80.5%), and the mean early cancer diagnosis rate was 65.9% (95% CI: 65.1%, 66.7%). Simulation results suggest that network navigation may lead up to a 13% increase in screening completion rate, 7.8% increase in diagnostic resolution rate, and a 4.9% increase in early-stage diagnoses at the population-level. Results suggest that systems science methods can be useful in the adoption of clinical and network navigation policies to reduce breast cancer disparities., (© 2022. The New York Academy of Medicine.)

In this paper, we describe the assessment and planning phase of the Thrive community-based initiative to reduce violence and address other determinants of health in a community in the Southwestern United States. Using community-based participatory research (CBPR) and an implementation science framework, we engaged residents and other key stakeholders as equal partners in the assessment and planning process. The Thrive assessment and planning phase involved collaboration among researchers, residents, law enforcement, nonprofit agencies, public health, local government, and other cross-sector partners. We used implementation science in order to examine the barriers and facilitators to addressing community health and safety, to assess the nature and scope of health and safety issues, to review existing solutions, to assess the acceptability and necessary adaptations of selected interventions, and to assess feasibility and sustainability of the initiative. Through interviews, focus groups, analysis of crime incident data, geomapping, and direct observations, our findings highlighted the presence of an open-air drug market, the high-stress nature of the community, concern for the lack of opportunities for youth, the lack of trust between residents and law enforcement, and a need to address the built environment to promote safety and well-being., (© 2020 Society for Community Research and Action.)

Similar to concentrations of crime, mental health calls have been found to concentrate at a small number of places, but few have considered the context of places where mental health calls occur. The current study examines the influence of the physical and social context of street segments, particularly the role of service providers, land use features of the street and nearby area, and characteristics of residents on the likelihood of a mental health crisis call to the police occurring on the street. The findings demonstrate that the social context, such as offending and drug use among residents, levels of social cohesion and community involvement, and drug and violent crime influenced the occurrence of mental health crisis calls. Findings from this study make theoretical and practical contributions to a number of disciplines by improving our understanding of where mental health crisis calls occur and why they are found at specific places., (© 2019 Wiley Periodicals, Inc.)

Background: Recent technological advances have much potential for improving police performance, but there has been little research testing whether they have made police more effective in reducing crime., Objective: To study the uses and crime control impacts of mobile computing technology in the context of geographically focused "hot spots" patrols., Research Design: An experiment was conducted using 18 crime hot spots in a suburban jurisdiction. Nine of these locations were randomly selected to receive additional patrols over 11 weeks. Researchers studied officers' use of mobile information technology (IT) during the patrols using activity logs and interviews. Nonrandomized subgroup and multivariate analyses were employed to determine if and how the effects of the patrols varied based on these patterns., Results: Officers used mobile computing technology primarily for surveillance and enforcement (e.g., checking automobile license plates and running checks on people during traffic stops and field interviews), and they noted both advantages and disadvantages to its use. Officers did not often use technology for strategic problem-solving and crime prevention. Given sufficient (but modest) dosages, the extra patrols reduced crime at the hot spots, but this effect was smaller in places where officers made greater use of technology., Conclusions: Basic applications of mobile computing may have little if any direct, measurable impact on officers' ability to reduce crime in the field. Greater training and emphasis on strategic uses of IT for problem-solving and crime prevention, and greater attention to its behavioral effects on officers, might enhance its application for crime reduction., (© The Author(s) 2016.)