Abstract Body: Objective
A thorough exploration of neighborhood environmental impacts on post-discharge stroke outcomes is lacking and crucial to identifying populations at high risk. We assess neighborhood economic and demographic characteristics associated with 90-day death or readmission post-stroke hospitalization.

Methods
The study population included 1329 stroke survivors in the prospective Florida Stroke Registry’s Transition of Care Stroke Disparities Study (91% ischemic stroke, 56% males, 51.5% Non-Hispanic White, 22.6% non-Hispanic Black, 21.8% Hispanic, median age 64). Publicly available data on the neighborhood (Zip+4) characteristics included socioeconomic status (NSES), race/ethnic composition, and business densities (food, tobacco/alcohol, gyms, medical services), which were used in factor analysis to create four main factors. Structured telephone interviews at 90 days post-discharge assessed stroke outcomes (death or readmission). Logistic regression models examined associations between the neighborhood characteristics and death/readmission, adjusting for individual demographics (race/ethnicity, sex, age), vascular risk factors and stroke severity obtained from Get with the Guidelines-Stroke®, and individual social/economic conditions (insurance, social support, living arrangement) from patient interviews.

Results
Within 90 days post-discharge, 208 patients experienced death or readmission. Four main factors explained 56% of the variance in 24 neighborhood characteristics, of which factor 1 was associated with a 20% increased risk of death/readmission. Factor 1 was characterized by Hispanic dominance (above median %Hispanic), lower NSES (higher %below the poverty line, densely populated), and highly urbanized (primary Rural-Urban Commuting Area (RUCA) code of 1, higher densities of tobacco outlets, alcohol outlets, restaurants, grocery stores, gyms, and pharmacies).

Conclusions
Living in predominantly Hispanic, highly urbanized, crowded neighborhoods with lower SES, predicted poor stroke outcomes independent of individual health or SES conditions. These findings can help inform the target population for community interventions aimed at improving stroke mortality and readmission rates.