According to the CDC, chronic diseases account for seven of the top ten causes of death in the U.S. and consume 86% of the nation’s annual healthcare spending. The increasing cost and prevalence make chronic disease management one of healthcare’s most challenging priorities. Population health efforts have become critical to identifying and improving chronic disease outcomes through targeted and consistent disease management protocols. Providers have started blending risk stratification models, medical history and sometimes even social determinant data to create targeted care plans. However, if we still don’t actually understand the patient, there is a missing link.
To transform care, we must reach the next level, and that means not applying the same care plan or approach to every patient of a certain disease type or risk level. Applying a meaningful psychographic segmentation model to robust population health management efforts is the comprehensive model that will inform true patient-centered care, drive stronger relationships between care teams and patients, and support engaged patients in making the lifestyle changes that result in better outcomes.