Albert Einstein College of Medicine


Public housing was developed to provide stable housing for low-income families. It has since become synonymous with concentrated poverty. Programs to reduce poverty have focused on dismantling public housing to be replaced, if at all, by mixed income design alternatives. Studies have shown that low-income residents living in public housing have deleterious health outcomes. It is not clear, however, how public housing residents fare on a number of cardiovascular health indicators compared to those with an alternate low-income housing arrangement. Mechanistic models that incorporate housing with neighborhood access to resources and individual behaviors are poorly defined and understood. However, examining individual- and neighborhood- level data in synergistic ways can provide an important contribution to existing health campaigns to address cardiovascular disease in low-income populations.

The current study uses a novel geocoding approach to analyze primary care electronic health record data in relation to housing and neighborhood level data from various sources in order to track health outcomes. This analysis approach focuses on individual level data within the context of the patient's housing and neighborhood environment. Another major focus of this effort is to capture social and behavioral information during the clinical encounter via the electronic health record.

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