A hepatitis C elimination model in healthcare for the homeless organization: A novel reflexive laboratory algorithm

A Seaman1, C A King2, T Kaser3

  • 1Department of Medicine, Section of Addiction Medicine, Oregon Health & Science University, Portland, Oregon, United States; Hepatitis C Elimination Program, Central City Concern, Portland, Oregon, United States.

Insights

A streamlined HCV program improved treatment initiation for people who use drugs (PWUD). However, gaps remain for women and homeless individuals in completing treatment and achieving sustained virologic response (SVR12).

Area of Science:

  • Public Health
  • Infectious Disease Epidemiology
  • Health Services Research

Background:

  • Hepatitis C (HCV) elimination requires treating people who use drugs (PWUD), but they face treatment barriers.
  • Women, minority groups, and homeless individuals are less likely to complete HCV treatment.

Purpose of the Study:

  • To evaluate a streamlined opt-out HCV screening and linkage-to-care program for PWUD.
  • To identify factors influencing progression through the HCV care cascade.

Main Methods:

  • Implemented a single-order reflex laboratory bundle for HCV screening and treatment initiation.
  • Utilized logistic regression and Cox proportional hazards models to analyze care cascade progression.
  • Program implemented in two healthcare for the homeless clinics and a withdrawal center.

Main Results:

  • 32.7% of 11,035 clients were screened; 28.3% tested HCV PCR positive.
  • 69.8% initiated treatment, 94.1% completed treatment, and 57.2% achieved SVR12.
  • Opioid/stimulant use disorder predicted increased cascade progression; women and homeless individuals showed treatment completion gaps.

Conclusions:

  • The laboratory bundle improved HCV treatment initiation and reduced time to treatment.
  • Despite improvements, significant disparities persist for women and homeless individuals in completing HCV care.
  • Targeted interventions are needed to address remaining gaps in the HCV care cascade.
Abstract