Problem Based Learning in HBV: A Patient Simulation for Improving Treatment Decisions and Long-Term Care

Hepatitis B virus (HBV) infection is a largely undetected and untreated disease in the United States despite the availability of screening guidelines and prophylactic vaccines. Chronic HBV infection causes severe complications, including cirrhosis and hepatocellular carcinoma in 20% - 30% of patients. As a result, HBV infection is the most common reason for liver transplantation.

While recommendations exist, primary care providers are not adequately screening at-risk patients for HBV infection and many adults remain undiagnosed. Once identified, linking HBV patients from community clinics to proper care requires that clinicians be aware of optimal treatment plans based on lab results.

In this CME Outfitters decision-tree medical simulation participants will navigate the clinical challenges presented by HBV. Along the way, expert faculty will provide guidance, insights, and evidence for the positive and negative consequences of their decisions. This actionable, evidence-based simulation will improve clinician confidence in their ability to recognize and assess patients with HBV and develop personalized treatment plans for managing their patients.