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Models of Care for the Management of Hepatitis C Virus Among People Who Inject Drugs: One Size Does Not Fit All

Open access
Bruggmann, Philip, Litwin, Alain H.·2013·Clinical Infectious Diseases

Abstract

One of the major obstacles to hepatitis C virus (HCV) care in people who inject drugs (PWID) is the lack of treatment settings that are suitably adapted for the needs of this vulnerable population. Nevertheless, HCV treatment has been delivered successfully to PWID through various multidisciplinary models such as community-based clinics, substance abuse treatment clinics, and specialized hospital-based clinics. Models may be integrated in primary care--all under one roof in either addiction care units or general practitioner-based models--or can occur in secondary or tertiary care settings. Additional innovative models include directly observed therapy and peer-based models. A high level of acceptance of the individual life circumstances of PWID rather than rigid exclusion criteria will determine the level of success of any model of HCV management. The impact of highly potent and well-tolerated interferon-free HCV treatment regimens will remain negligible as long as access to therapy cannot be expanded to the most affected risk groups.

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Metadata

Authors
Bruggmann, P., & Litwin, A. H.
Venue
Clinical Infectious Diseases
Published
2013-08-15
Volume
57
Issue
suppl_2
Pages
S56-S61
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2101910709
Cited by
184
References
0
FWCI
9.73
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Models of Care for the Management of Hepatitis C Virus Among People Who Inject Drugs: One Size Does Not Fit All. https://app.cochat.ai/papers/10.1093/cid/cit271
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Bruggmann, P., & Litwin, A. H. (2013). Models of Care for the Management of Hepatitis C Virus Among People Who Inject Drugs: One Size Does Not Fit All. Clinical Infectious Diseases. https://doi.org/10.1093/cid/cit271

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.