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Building a Community - Academic Partnership to Enhance Hepatitis C Virus Screening.

R Irvin1, A McAdams-Mahmoud1, D Hickman2

  • 1Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

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|August 16, 2016
PubMed
Summary

A community-academic partnership successfully identified hepatitis C virus (HCV) infections through screening. This collaboration highlights the potential of community-based programs to improve HCV diagnosis and linkage to care for unaware or disengaged individuals.

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Hepatitis C virusScreeningTesting

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Area of Science:

  • Public Health
  • Infectious Diseases
  • Health Services Research

Background:

  • Hepatitis C virus (HCV) chronically infects millions in the US, with many unaware of their diagnosis.
  • Effective models are needed to diagnose and connect HCV-infected patients to care.
  • This study details a partnership between a community organization (STAR) and an academic institution (JHU) to identify HCV cases.

Purpose of the Study:

  • To describe an innovative community-academic partnership for HCV case identification.
  • To evaluate the effectiveness of a collaborative HCV screening program.
  • To identify factors associated with HCV infection in a community setting.

Main Methods:

  • A collaborative HCV screening program was developed, enhancing existing HIV services.
  • The Bergen Model of Collaborative Functioning served as the theoretical framework.
  • Descriptive statistics and multivariable logistic regression analyzed HCV antibody positivity.

Main Results:

  • 325 rapid HCV antibody tests were conducted, with 49 (15%) positive results.
  • Among those positive, 58% were unaware of their HCV status, and 42% knew but were not in care.
  • Increasing age, male sex, and history of injection drug use were significantly associated with HCV antibody positivity.

Conclusions:

  • The community-academic partnership effectively identified individuals with hepatitis C infection.
  • Community screening programs show promise in improving the HCV care continuum.
  • The model successfully identified individuals unaware of their status or not engaged in care, linking them to treatment.