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自动排除丙型肝炎检测以减少急诊科漏筛机会。

Automated Opt-Out Hepatitis C Testing to Reduce Missed Screening Opportunities in the Emergency Department.

机构信息

Heather Sperring and Glorimar Ruiz-Mercado are with the Department of Medicine, Section of Infectious Diseases, Boston Medical Center, Boston, MA. Brian J. Yun and Elissa M. Schechter-Perkins are with the Department of Emergency Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston. David Twitchell and Bhavesh Shah are with the Department of Pharmacy, Boston Medical Center.

出版信息

Am J Public Health. 2024 Nov;114(11):1228-1231. doi: 10.2105/AJPH.2024.307783. Epub 2024 Aug 29.

Abstract

We evaluated the impact of implementing automated hepatitis C (HCV) opt-out screening in the emergency department of an urban, academic medical center with high HCV prevalence, in the context of a longstanding HCV opt-in screening model. We compared nine-month periods before and after implementation. HCV testing increased by 502%, and active HCV infection identification increased by 212%. Settings where there is great opportunity for HCV diagnosis, such as emergency department settings, should consider opt-out HCV screening models. (. 2024;114(11):1228-1231. https://doi.org/10.2105/AJPH.2024.307783).

摘要

我们评估了在具有高 HCV 流行率的城市学术医疗中心的急诊部门实施自动丙型肝炎(HCV)排除筛查的影响,该部门采用了长期存在的 HCV 选择筛查模型。我们比较了实施前后九个月的情况。HCV 检测增加了 502%,活跃的 HCV 感染识别增加了 212%。在有很大 HCV 诊断机会的环境中,如急诊环境,应考虑 HCV 排除筛查模型。(. 2024;114(11):1228-1231. https://doi.org/10.2105/AJPH.2024.307783)。

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