Despite national and local governing board recommendations in the United States of America to perform an HCV screening test in baby boomers, screening rates remain low. Our goal was to study the impact of an HCV screening and link-to-care programme with patient navigation in two New York City primary care practices. This was a 2-year prospective study of patients born between 1945-1965 ("baby boomers") with encounters at two primary care practices at the Mount Sinai Hospital between November 1, 2013 and November 30, 2015. Baseline HCV screening rates were collected for four months. A multifaceted intervention was sequentially implemented involving electronic alerts, housestaff education, data feedback and patient navigation. HCV screening rates and link to care, defined as attending an appointment with a viral hepatitis specialist, were compared before and after these interventions. There were 14 642 primary care baby boomer patients of which 4419 (30.2%) were newly screened during the study. There was a significant increase in HCV screening rates from 55% to 75% (P<.01) with an HCV seropositive rate of 3.3%. Factors associated with being HCV seropositive included older age (P<.01), male sex (P<.01), African American race (P<.01) and receiving care in the housestaff practice (P<.01). With patient navigation, 78 of 84 (93%) newly diagnosed HCV-infected persons were referred to a specialist and 60 (77%) attended their first appointment. A structured, multifaceted HCV screening programme using well-studied principles identifies a large number of undiagnosed baby boomers within hospital-based primary care and improves access to specialty providers in a timely manner.

BaCKgRoUND aND aIMS: Although chronic HCV infection increases mortality, thousands of patients remain diagnosed-but-untreated (DBU). We aimed to (1) develop a DBU phenotyping algorithm, (2) use it to facilitate case finding and linkage to care, and (3) identify barriers to successful treatment. appRoaCH aND ReSUltS:We developed a phenotyping algorithm using Java and SQL and applied it to ~2.5 million EPIC electronic medical records (EMRs; data entered January 2003 to December 2017). Approximately 72,000 EMRs contained an HCV International Classification of Diseases code and/or diagnostic test. The algorithm classified 10,614 cases as DBU (HCV-RNA positive and alive). Its positive and negative predictive values were 88% and 97%, respectively, as determined by manual review of 500 EMRs randomly selected from the ~72,000. Navigators reviewed the charts of 6,187 algorithm-defined DBUs and they attempted to contact potential treatment candidates by phone. By June 2020, 30% (n = 1,862) had completed an HCV-related appointment. Outcomes analysis revealed that DBU patients enrolled in our care coordination program were more likely to complete treatment (72% [n = 219] vs. 54% [n = 256]; P < 0.001) and to have a verified sustained virological response (67% vs. 46%; P < 0.001) than other patients. Fortyeight percent (n = 2,992) of DBU patients could not be reached by phone, which was a major barrier to engagement. Nearly half of these patients had Fibrosis-4 scores ≥ 2.67, indicating significant fibrosis. Multivariable logistic regression showed that DBUs who could not be contacted were less likely to have private insurance than those who could (18% vs. 50%; P < 0.001). CoNClUSIoNS:The digital DBU case-finding algorithm efficiently identified potential HCV treatment candidates, freeing resources for navigation and coordination. The algorithm is portable and accelerated HCV elimination when incorporated in our comprehensive program. (Hepatology 2021;74:2974-2987). HCV infection remains a major public health threat. Highly effective direct-acting antiviral (DAA) treatments have been available

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