Centers for Disease Control and Prevention Recommendations for Hepatitis C Testing: The Need to Adapt Universal Screening in an Appalachian Emergency Department

BACKGROUND: The Centers for Disease Control and Prevention recommends screening baby boomers and high-risk patients for hepatitis C virus (HCV); however, the incidence of HCV is rapidly increasing among younger populations, and screening is limited by access to care and risk factor assessment. The purpose of this study was to evaluate characteristics of HCV antibody-positive (Ab+) and ribonucleic acid (RNA)-confirmed-positive patients identified via two screening models in an Appalachian emergency department (ED). METHODS: This was a retrospective cohort study of patients who screened HCV Ab+ in the ED from January 1 to October 31, 2018. Data were extracted, and comparative analyses were conducted between the risk-based and the universal screening models. RESULTS: Overall, 444 patients screened HCV Ab+, with a median age of 39 years. From January to May 2018, the risk factor model identified 126 HCV Ab+ patients out of 3,014 screened (4%), whereas from June to October 2018, the universal model identified 318 HCV Ab+ patients out of 5,407 screened (6%; p < 0.001). A consistently large proportion of diagnoses were new (71%). There was no statistically significant decrease between the RNA-confirmed-positive patients during the risk factor model (76, 60%) and universal model (186, 58%) time periods (p = 0.72). The models had high rates of reported intravenous drug use, and the universal screening adoption was modest at 33%. CONCLUSION: This study was the first to present characteristics of HCV Ab+ and RNA-confirmed-positive patients identified during the transition to a universal screening model in an Appalachian ED. Most diagnoses were new regardless of screening model, but more patients screened HCV Ab+, and a similar proportion were RNA-confirmed-positive, under the universal model. Given that adoption of universal screening was modest, and risk factors remained similar, future research should investigate how to more effectively implement a universal screening model on a wider scale to identify early infections.