Association Between Social Determinants of Health and Heart Failure Survival

This research article examines the relationship between social determinants of health (SDoH) and one-year survival rates among patients diagnosed with heart failure (HF) using data from the PremiOMTM Heart Failure Dataset. The dataset includes comprehensive healthcare claims, social determinants, and electronic medical records for U.S. patients from all 50 states, starting from 2013. The study focuses on patient characteristics such as age, race, and medical burden, and employs logistic regression to analyze the association between these characteristics and survival outcomes. Key findings indicate that factors such as higher household income and home ownership are linked to improved survival odds. The analysis includes 11,010 adult patients, with a notable difference in medical burden between sexes. The study concludes that further research is necessary to explore the impact of SDoH on morbidity and mortality in HF patients. This research was presented at the 39th International Conference on Pharmacoepidemiology & Therapeutic Risk Management.