CHRP researchers Jarrod Dalton, Adam Perzynski, and Neal Dawson, working in collaboration with experts in health policy, internal medicine, and social work across the Clinical and Translational Science Collaborative of Cleveland gave a plenary presentation of their work at a “Top-Rated Abstracts” session of the Society for Medical Decision Making’s 38th Annual North American Meeting in Vancouver, Canada. “Neighborhood Socioeconomic Status and Major Atherosclerotic Event Rates: An Analysis of Geocoded Electronic Health Data” identifies substantial geographic variation in various socioeconomic measures related to risk for and prevention of atherosclerotic cardiovascular disease.
The researchers found substantial geographic variation atherosclerotic cardiovascular disease (ASCVD) event risk that mirrored variation in neighborhood deprivation (defined according to census-tract-level characteristics such as median income, percent on Medicaid, etc.). And they found that neighborhood deprivation was more powerfully associated with neighborhood-level variations in ASCVD event rates than a popular clinical measure by the American College of Cardiology and American Heart Association known as the Pooled Cohort Equations Risk Index. The results suggest that socioeconomic aspects need to be incorporated into risk-based decision-making for primary prevention of ASCVD.