Abstract
This translational research had 2 aims: first, to analyze and translate data from multiple original data sources to provide accurate, unbiased local community and statewide information about healthy aging; second, to work with stakeholders to use the tools to identify disparities in healthy aging and to support their efforts to advance healthy aging. Data sources from the Centers for Medicare and Medicaid Services, Behavioral Risk Factor Surveillance System, U.S. Census American Community Survey, and other sources were analyzed using small area estimation techniques to determine age/gender-adjusted local community rates in Connecticut (CT), Massachusetts (MA), New Hampshire (NH), and Rhode Island (RI). State-level analyses revealed gender and racial/ethnic disparities in healthy aging. A factor analysis identified 4 dimensions of community population healthy aging/morbidity: serious complex chronic disease, indolent conditions, physical disability, and psychological disability. Healthy Aging Data Reports now exist for MA (2014, 2015, and 2018), NH (2019), RI (2016 and 2020), and CT (2021) and demonstrate differences in health by place. Each report includes community profiles for every city, town, and some urban neighborhoods with more than 170-197 indicators. The reports include maps of the statewide distribution of rates, an infographic, highlights report with state-specific multivariate analyses, and 18 interactive web maps, 18 regional interactive web maps, and technical documentation about data sources and methods. Overall, the research has identified variations in healthy aging and provided tools to track change over time to support age-friendly efforts in the region.
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