Dr. Russell Robbins presents the ‘Impact of Applying SDOH on Prescription Fill Rates’ at the Pharmaceutical Management Science Association (PMSA).
Impact of Applying SDOH on Prescription Fill Rate Analysis
The prescription journey for a patient can be divided into three parts, Rejection, Reversal or Abandonment, and Fill. In the traditional models, only age and gender were considered in each of these phases. PurpleLab™ has developed the HealthNexus™ platform which overlays Social Determinant of Health (SDOH) information onto the data. By doing this, one can know observe the impact of variables such as race, ethnicity, marital status, or income in each portion of the journey. We have shown that for one anticoagulant, there were 3.5 million people taking this medication. Of those 1.2% had the medication denied. With deeper analytics, this is now shown that African Americans are 1.49 times higher to have their prescriptions rejected compared to other racial groups. Hispanics are also less likely to receive the medication compared to other ethnicities. When income is factored in, the odds of being an African American earning under $20,000 increases to 1.67 times higher for having the prescription rejected. By understanding inequities and disparities in prescription fill rates with SDOH, we can implement changes for the patients and physicians treating them through better education, rebates, or understanding why the barriers exist.