Testing the Impact of Measurement-Based Care on Quality of Life and Disease Management Among Veterans With Inflammatory Bowel Disease

Inflammatory bowel disease (IBD) is a chronic autoimmune disorder that affects over 60,000 Veterans and leads to highly symptomatic flares and complications. Close monitoring and timely treatment adjustment can stop the natural progression of IBD, improving health-related quality of life (HRQOL) and reducing flares and hospitalizations. However, it is difficult to closely monitor Veterans with IBD between clinic visits. There is a critical need for systematic solutions to support close between visit monitoring of Veterans with IBD without which they will continue to experience preventable impairment and disability. Measurement-based care (MBC) is a systematic approach to collect, share, and act on patient reported outcome (PRO) data that can be used to achieve close monitoring. MBC works by facilitating early recognition of clinical deterioration and timely clinician-driven treatment adjustment. MBC also increases patients' self-efficacy, their confidence in their ability to handle their symptoms and disease. This project will use a Hybrid Type 1 effectiveness-implementation randomized trial design (n=250 Veterans with IBD) to test the effectiveness of MBC in IBD versus enhanced treatment as usual (E-TAU) on HRQOL and IBD-related events over 12-months and identify barriers and facilitators to MBC in IBD to inform its implementation in practice. The hypothesis is that at 12-month follow-up, Veterans randomized to MBC will have greater improvement in HRQOL and fewer IBD-related events (composite of flares, emergency department visits, hospitalization, surgery) than E-TAU. The primary objective is to test the effectiveness of MBC vs. E-TAU on key patient outcomes: IBD-specific patient reported HRQOL (primary outcome) and IBD-related events obtained via electronic health record data (secondary outcome). The secondary objective is to assess determinants of MBC in IBD implementation and acceptability with process evaluation.