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Background Hepatitis C (HCV) poses a major public health problem in the USA. While early identification is a critical priority, subsequent linkage to a treatment specialist is a crucial step that bridges diagnosed patients to treatment, cure, and prevention of ongoing transmission. Emergency departments (EDs) serve as an important clinical setting for HCV screening, although optimal methods of linkage-to-care for HCV-diagnosed individuals remain unknown. In this article, we describe the rationale and design of The Determining Effective Testing in Emergency Departments and Care Coordination on Treatment Outcomes (DETECT) for Hepatitis C (Hep C) Linkage-to-Care Trial. Methods The DETECT Hep C Linkage-to-Care Trial will be a single-center prospective comparative effectiveness randomized two-arm parallel-group superiority trial to test the effectiveness of linkage navigation and clinician referral among ED patients identified with untreated HCV with a primary hypothesis that linkage navigation plus clinician referral is superior to clinician referral alone when using treatment initiation as the primary outcome. Participants will be enrolled in the ED at Denver Health Medical Center (Denver, CO), an urban, safety-net hospital with approximately 75,000 annual adult ED visits. This trial was designed to enroll a maximum of 280 HCV RNA-positive participants with one planned interim analysis based on methods by O’Brien and Fleming. This trial will further inform the evaluation of cost effectiveness, disparities, and social determinants of health in linkage-to-care, treatment, and disease progression. Discussion When complete, the DETECT Hep C Linkage-to-Care Trial will significantly inform how best to perform linkage-to-care among ED patients identified with HCV. Trial registration ClinicalTrials.gov ID: NCT04026867 Original date: July 1, 2019 URL: https://clinicaltrials.gov/ct2/show/NCT04026867

From providing public Internet access in rural communities to pioneering the development of a model automated document delivery system, libraries of every type in the state are engaged in a variety of multi‐library automation and connectivity efforts. The following descriptions include projects from academic libraries, public libraries, state agencies, and a library school.

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