Abstract
Despite the burdens costs can place on adults with diabetes, few evidence-based, scalable interventions have been identified that address prevalent health-related financial burdens and unmet social risk factors that serve as major obstacles to effective diabetes management. In this study, we will test the effectiveness of CareAvenue - an automated e-health tool that screens for unmet social risk factors and informs and activates individuals to take steps to connect to resources and engage in self-care. We will determine the effectiveness of CareAvenue relative to standard care with respect to improving glycemic control and patient-centered outcomes such as cost-related non-adherence (CRN) behaviors and perceived financial burden. We will also examine the role of patient risk factors (moderators) and behavioral factors (mediators) on the effectiveness of CareAvenue in improving outcomes. We will recruit 720 patients in a large health system with uncontrolled Type 1 diabetes mellitus (T1DM) or Type 2 diabetes mellitus (T2DM) who engage in CRN or perceive financial burden. Participants will be randomized to one of two arms: 1) receipt of a 15-20 min web-based program with routine follow-up (CareAvenue); or 2) receipt of contact information for existing health system assistance services. Outcomes will be assessed at baseline and 6- and 12-month follow-up. Clinical Trial Registration: ClinicalTrials.gov ID NCT03950973, May 2019.