Montgomery Martha P, Randall Liisa M, Morrison Monica, Gupta Neil, Doshani Mona, Teshale Eyasu
Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Now with Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Public Health Rep. 2023 Sep 5:333549231193508. doi: 10.1177/00333549231193508.
The United States has a goal to eliminate hepatitis C as a public health threat by 2030. To accomplish this goal, hepatitis C virus (HCV) care cascades (hereinafter, HCV cascades) can be used to measure progress toward HCV elimination and identify disparities in HCV testing and care. In this topical review of HCV cascades, we describe common definitions of cascade steps, review the application of HCV cascades in health care and public health settings, and discuss the strengths and limitations of data sources used. We use examples from the Massachusetts Department of Public Health as a case study to illustrate how multiple data sources can be leveraged to produce HCV cascades for public health purposes. HCV cascades in health care settings provide actionable data to improve health care quality and delivery of services in a single health system. In public health settings at jurisdictional and national levels, HCV cascades describe HCV diagnosis and treatment for populations, which can be challenging in the absence of a single data source containing complete, comprehensive, and timely data representing all steps of a cascade. Use of multiple data sources and strategies to improve interoperability of health care and public health data systems can advance the use of HCV cascades and speed progress toward HCV elimination.
美国的目标是到2030年消除丙型肝炎对公共卫生的威胁。为实现这一目标,丙型肝炎病毒(HCV)治疗流程(以下简称HCV流程)可用于衡量在消除HCV方面取得的进展,并识别HCV检测和治疗中的差异。在本次对HCV流程的专题综述中,我们描述了流程步骤的常见定义,回顾了HCV流程在医疗保健和公共卫生环境中的应用,并讨论了所使用数据源的优势和局限性。我们以马萨诸塞州公共卫生部的实例作为案例研究,来说明如何利用多个数据源来生成用于公共卫生目的的HCV流程。医疗保健环境中的HCV流程提供了可操作的数据,以提高单个卫生系统中的医疗保健质量和服务提供。在辖区和国家层面的公共卫生环境中,HCV流程描述了人群的HCV诊断和治疗情况,在缺乏包含代表流程所有步骤的完整、全面和及时数据的单一数据源的情况下,这可能具有挑战性。使用多个数据源和策略来提高医疗保健和公共卫生数据系统的互操作性,可以推动HCV流程的使用,并加快实现消除HCV的进展。