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Hepatitis C Cascades: Data to Inform Hepatitis C Elimination in the United States.
Montgomery, Martha P; Randall, Liisa M; Morrison, Monica; Gupta, Neil; Doshani, Mona; Teshale, Eyasu.
Afiliación
  • Montgomery MP; Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Randall LM; Now with Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Morrison M; Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Jamaica Plain, MA, USA.
  • Gupta N; Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Jamaica Plain, MA, USA.
  • Doshani M; Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Teshale E; Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Public Health Rep ; : 333549231193508, 2023 Sep 05.
Article en En | MEDLINE | ID: mdl-37667621
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.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Public Health Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Public Health Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos