Center for Healthy Aging Programs and Underserved Populations: Outcomes and Opportunities

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In collaboration with our partners at the Administration on Community Living, The Center for Healthy Aging has developed an increasingly sophisticated set of tools for measuring the demographic composition of CDSME and Falls Prevention Programs. At the beginning of each workshop, program facilitators collect data on participant age, race, ethnicity and gender identity. Combined with a robust set of outcome measurements, such as pre-post loneliness/social isolation score change, this allows us to hold ourselves accountable for achieving NCOA’s pledge to help improve health and wellness outcomes in the country’s most underserved communities. This session will break out participant data in the CDSME and Falls databases based on targeted demographics, as well as suggest data-based future opportunities for targeting underserved communities.

Kenny Rosenkranz

Data Management and Analysis Associate

NCOA

Kenny Rosenkranz is a researcher and data analyst with nearly a decade of experience working in the non-profit/NGO space. At NCOA, he primarily works on data visualization and quantitative reporting for the CDSME and Falls Prevention Databases. He formerly assisted with product design and content creation for the Aging Mastery Program®. Before joining NCOA, Kenny worked at Citibank and the German Marshall Fund of the United States. He served for three years as a Peace Corps Volunteer in Ukraine and holds degrees in Economics from University of Wisconsin – Madison (BA), Johns Hopkins University (MA), and Nanjing University, (MA).