Pharmacy Data as an Alternative Data Source for Implementation of a Data to Care Strategy

Background: Data to Care (D2C) is a strategy for using health departments' HIV surveillance data (HIV viral load and CD4 laboratory reports) to identify and re-engage not-in-care persons with HIV. In the current D2C model, there is a delay in the identification of persons not in care due to the time interval between recommended monitoring tests (ie, every 3-6 months) and the subsequent reporting of these tests to the health department. Methods: Pharmacy claims and fulfillment data can be used to identify persons with HIV who have stopped filling antiretroviral therapy and are at risk of falling out of care. Because most antiretrovirals (ARVs) are prescribed as a 30-day supply of medication, these data can be used to identify persons who are not filling their medications on a monthly basis. The use of pharmacy claims data to identify persons not filling ARV prescriptions is an example of how "big data" can be used to conduct a modified D2C model. Results: Although a D2C strategy using pharmacy data has not been broadly implemented, a few health departments are implementing demonstration projects using this strategy. As the projects progress, processes and outcomes can be evaluated. Conclusions: Tracking ARV refill data can be a more real-time indicator of poor adherence and can help identify HIV-infected persons at risk of falling out of HIV medical care.