Social Determinants of Health and 30-Day Readmissions Among Adults Hospitalized for Heart Failure in the REGARDS Study

Author:

Sterling Madeline R.1ORCID,Ringel Joanna Bryan1,Pinheiro Laura C.1ORCID,Safford Monika M.1ORCID,Levitan Emily B.2ORCID,Phillips Erica1,Brown Todd M.3,Nguyen Oanh K.4,Goyal Parag15ORCID

Affiliation:

1. Division of General Internal Medicine (M.R.S., J.B.R., L.C.P., M.M.S., E.P., P.G.), Department of Medicine, Weill Cornell Medicine, New York, NY.

2. Department of Epidemiology (E.B.L.), University of Alabama at Birmingham.

3. Division of Cardiovascular Disease, Department of Medicine (T.M.B.), University of Alabama at Birmingham.

4. Division of Hospital Medicine, University of California at San Francisco (O.K.N.).

5. Division of Cardiology (P.G.), Department of Medicine, Weill Cornell Medicine, New York, NY.

Abstract

Background: It is not known which social determinants of health (SDOH) impact 30-day readmission after a heart failure (HF) hospitalization among older adults. We examined the association of 9 individual SDOH with 30-day readmission after an HF hospitalization. Methods and Results: Using the REGARDS study (Reasons for Geographic and Racial Differences in Stroke), we included Medicare beneficiaries who were discharged alive after an HF hospitalization between 2003 and 2014. We assessed 9 SDOH based on the Healthy People 2030 Framework: race, education, income, social isolation, social network, residential poverty, Health Professional Shortage Area, rural residence, and state public health infrastructure. The primary outcome was 30-day all-cause readmission. For each SDOH, we calculated incidence per 1000 person-years and multivariable-adjusted hazard ratios of readmission. Among 690 participants, the median age was 76 years at hospitalization (interquartile range, 71–82), 44.3% were women, 35.5% were Black, 23.5% had low educational attainment, 63.0% had low income, 21.0% had zip code–level poverty, 43.5% resided in Health Professional Shortage Areas, 39.3% lived in states with poor public health infrastructure, 13.1% were socially isolated, 13.3% had poor social networks, and 10.2% lived in rural areas. The 30-day readmission rate was 22.4%. In an unadjusted analysis, only Health Professional Shortage Area was significantly associated with 30-day readmission; in a fully adjusted analysis, none of the 9 SDOH were individually associated with 30-day readmission. Conclusions: In this modestly sized national cohort, although prevalent, none of the SDOH were associated with 30-day readmission after an HF hospitalization. Policies or interventions that only target individual SDOH to reduce readmissions after HF hospitalizations may not be sufficient to prevent readmission among older adults.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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