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3 <br /> Three Problems: <br /> 1. Safety net interventions too diluted <br /> 2. No robust evaluations <br /> 3. Communities not at the center of interventions <br /> Poverty in Orange County <br /> • Multiple poverty-related indicators are increasing in Orange County <br /> • Adverse Childhood Experiences (ACEs) include 10 indicators related to neglect, abuse and <br /> household dysfunction. People living in poverty disproportionately experience Adverse <br /> Childhood Experiences. There is a dose-response relationship between ACEs and the risk <br /> of chronic disease. <br /> Our Models <br /> • Harlem Children's Zone pipeline model <br /> o Combined a focus on academics with family/community support <br /> o HCZ closed the racial achievement gap in both math and ELA by third grade <br /> • HCZ scaled up = President Obama's "Promise Zones" & has been replicated across NC, <br /> e.g. EDCI <br /> • Orange County is rich in high-quality resources. We need to build on, expand, & enhance <br /> existing services and supports. NOT replace or duplicate. <br /> • Collective Impact approach <br /> o New way of working together that emphasizes strong backbone support for <br /> collaborative work and prioritizes shared data and evaluation. <br /> o Equity is an additional component that experts agree should be added to the model <br /> and is important for FSA <br /> o OCHD is strong in both areas and serves as the backbone support for the FSA <br /> collaborative with guidance from a diverse Advisory Council. <br /> o Our Partners (organizations funded by United Way and those on the Advisory <br /> Council) <br /> Adapting to OC: Mapping our poverty zones <br /> • Building a Neighborhood Poverty Index to identify "zones" in Orange County; neighborhood <br /> level data are not available through Census and other common sources <br /> • Goals: 1) Adjust for population density, 2) Use multiple data layers for assurance, 3) Drill to <br /> neighborhoods with distinct types if possible <br /> • Created an aggregate indicator (index) showing the likelihood of a neighborhood being <br /> low-income. Each 1/4 mile block with >30 residences was scored from 0 - 4 based on four <br /> data layers: (1) residential structure type (Land Records/GIS); (2) active housing choice <br /> vouchers (Housing); (3) children on Medicaid (DSS); and (4) clinic patients (health <br /> department) <br /> • Identified 6 zones throughout the county where families are most struggling to make ends <br /> meet <br /> • Held meetings in the zones; all 6 zones identified a champion and applied; 2 were <br /> selected. <br /> The Pipeline to Success —from Cradle to College/Career <br />