In addition to creating the Child Well-being Dashboard, the OCID team is also producing original analyses to understand the factors and interactions behind the Dashboard indicators. With the Oregon-specific and timely data-driven evidence that OCID generates, policymakers will be able to more effectively prioritize scarce resources and efficiently focus on the most meaningful public policy changes. The OCID Governance Committee has a direct role in prioritizing the topics for analysis.
Oregon Childhood Program Participation and Early Educational Outcomes
Through 3 interconnected components, the OCID analysis Oregon Childhood Program Participation and Early Educational Outcomes examines relationships between participation in select public childhood programs and subsequent early educational outcomes.
Part 1 – Early-childhood Program Participation
Part 1 includes 2 products – interactive visualizations and an OCID Policy Brief – that provide a foundation for understanding the patterns of early-childhood participation in publicly-funded programs in Oregon. The interactive visualizations allow exploration of program participation for children born between 2008-13, including filter options for geography, demographics, birth characteristics and other attributes. The policy brief provides highlights from the online visualizations of patterns for children born in 2008.
Part 2 – Risks and Protective Factors
The Part 2 policy brief examines whether certain child and family characteristics are potential risk and protective factors associated with early educational outcomes. The child and family characteristics examined include demographic traits, birth circumstances, parental characteristics, participation in public income-based programs, and child welfare involvement.
Part 3 – Associations Between Program Participation and Outcomes
The Part 3 policy brief first examines whether children’s educational outcomes are associated with participation in Medicaid/CHIP and an additional public program (preschool, disability services, or home visiting), compared to participation in Medicaid/CHIP alone. The analysis then looks at whether the associations are stronger or weaker among groups of students with certain characteristics.