HIV/HCV Viral Clearance Cascade Training Series

This series of four mini-modules covers the steps required to use available public health datasets to create and act upon HIV and hepatitis C (HCV) viral clearance cascades. These tools are helpful in identifying untreated coinfected persons and bringing them into care to achieve an HCV cure.

Each module includes 3-4 short videos detailing a step in the process. See also the companion document:

How to Create Hepatitis C Virus (HCV) Care Cascades for Persons with HIV/HCV Coinfection: A Written Companion to the Mini-Module Video Training Series for Health Departments and Clinics
This guide describes the process of creating a surveillance-based viral clearance cascade for persons with HIV/HCV coinfection. It also details a specific Data to Care approach where health departments partner with clinics to create clinic-based HCV care cascades.

Project Introduction

Module 1: Cleaning HIV and Hepatitis C Databases

Introduction

Ensure Data are Unique, Complete and Accurate

Resolve Hepatitis C Paper Lab Result Backlog

Module 2: Matching HIV and Hepatitis C Databases

Introduction to Module 2

Match Variables from HIV and HCV Databases

Probabilistic and Deterministic Matching

Determine if a Person is Deceased or Lives Out of State

Module 3: Creating the Viral Clearance Cascade

Introduction to Module 3

Define HCV Case Status Based on Laboratory Result Dispositions

Specify Elements of the Viral Clearance Cascade

Use the Viral Clearance Cascade

Module 4: Case Conferencing

Introduction to Module 4

The Case Conferencing Tool

Create the HIV/HCV Co-infected List

Implement the Case Conference

Generate and Use the Clinic Care Cascade

These training resources were developed under the Leveraging a Data to Care Approach to Cure Hepatitis C within the RWHAP project. The purpose of this demonstration project was to link people with HIV and hepatitis C or HIV within the Ryan White HIV AIDS Program into care by leveraging existing public health surveillance systems with clinical data systems.

Part of Collection

Leveraging a Data to Care Approach to Cure Hepatitis C within the RWHAP

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