Historical Redlining and Heart Failure Outcomes Following Hospitalization in the Southeastern United States

Abstract

Background Historical redlining, a discriminatory lending practice, is an understudied component of the patient risk environment following hospital discharge. We investigated associations between redlining, patient race, and outcomes following heart failure hospitalization. Methods and Results We followed a hospital‐based cohort of Black and White patients using electronic medical records for acute heart failure hospitalizations between 2010 and 2018 (n=6800). Patient residential census tracts were geocoded according to the 1930s Home Owners' Loan Corporation map grades (A/B: best/still desirable, C: declining, D: redlined). We used Poisson regression to analyze associations between Home Owners' Loan Corporation grade and 30‐day outcomes (readmissions, mortality, and their composite). One‐third of patients resided in historically redlined tracts (n=2034). In race‐stratified analyses, there was a positive association between historically declining neighborhoods and composite readmissions and mortality for Black patients (risk ratio [RR], 1.24 [95% CI, 1.003–1.54]) and an inverse association between redlined neighborhoods and 30‐day readmissions among White patients (RR, 0.58 [95% CI, 0.39–0.86]). Examining racial disparities across Home Owners' Loan Corporation grades, Black patients had higher 30‐day readmissions (RR, 1.86 [95% CI, 1.31–2.65]) and composite readmissions and mortality (RR, 1.32 [95% CI, 1.04–1.65]) only in historically redlined neighborhoods. Conclusions Historical redlining had potentially mixed impacts on outcomes by race, such that residing in less desirable neighborhoods was associated with an elevated risk of an adverse outcome following heart failure hospitalization in Black patients and a reduced risk in White patients. Moreover, racial disparities in patient outcomes were present only in historically redlined neighborhoods. Additional research is needed to explore observed heterogeneity in outcomes.