Specificity of administrative coding for older adults with acute heart failure hospitalizations
Abstract
There are approximately 900,000 primary heart failure (HF) hospitalizations per year in the United States.1 Observational analysis of these hospitalizations could help clinical investigators improve care for patients with acute HF. However, research from electronic health records and administrative databases is often limited by a lack of specificity, which is especially true in HF where the use of nonspecific codes is frequent.2 Systolic and diastolic HFs affect different patient populations and have distinct treatment options; thus, failure to distinguish between types of HF limits the ability to study these diseases and assess risks factors, therapeutic effectiveness, and quality of care.
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