Over 5 million Americans suffer from heart failure (HF), and treating HF as a chronic condition is associated with significant costs. In addition, about 24% of the patients discharged with a primary diagnosis of HF are readmitted to the hospital within 30 days, representing a significant public health burden. While there have been efforts to predict and reduce 30-day hospital readmission initiated by the Centers for Medicare and Medicaid Services (CMS), no studies utilized daily physiologic data from wearables to identify at-risk patients.~The overall goal of this proposed pilot feasibility study is to utilize the Spire Health Tags in a heart failure patient population to ascertain the feasibility of capturing appropriate signals of respiration, pulse rate, activity, sleep patterns, and stress levels (calm/focused/tense during the day) for > 80% of the time in patients following HF hospitalization for a 30-day period. The investigators will do exploratory analysis of the changes in these physiologic variables during a 30-day period following HF hospitalization to identify risk markers that could predict 30-day readmission.
To evaluate the use of the Spire Health Tags in heart failure patients to determine the feasibility of capturing signals of respiration, pulse rate, activity, sleep patterns, and stress levels following HF hospitalization.