4.7 Article

Hepatitis C virus risk among young people who inject drugs

期刊

FRONTIERS IN PUBLIC HEALTH
卷 10, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2022.835836

关键词

hepatitis C virus; people who use drugs; people who inject drugs; systems thinking; qualitative system dynamics

资金

  1. National Institutes of Health (NIH)/National Institute on Drug Abuse (NIDA)
  2. [R01DA035146]
  3. [R01DA041501]
  4. [K01 DA048172]

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Injection drug use is the main risk factor for hepatitis C virus transmission in the U.S., particularly among young people who inject drugs (YPWID). This study found that around one-third of YPWID in New York City had been exposed to HCV, with certain risk factors such as sharing drug paraphernalia, long-term drug use, homelessness, and multiple incarcerations significantly associated with HCV status. A qualitative system dynamics model was developed to better understand how these risk factors interact and inform potential interventions for reducing HCV infections.
BackgroundInjection drug use (IDU) is the leading risk factor for hepatitis C virus (HCV) transmission in the U.S. While the general risk factors for HCV transmission are known, there is limited work on how these factors interact and impact young people who inject drugs (YPWID). MethodsProject data were drawn from a study of 539 New York City (NYC) residents ages 18-29 who were recruited via Respondent-Driven Sampling and, reported past-month non-medical use of prescription opioids and/or heroin. Analyses are based on a subsample of 337 (62%) who reported injecting any drug in the past 12 months. All variables were assessed via self-report, except HCV status, which was established via rapid antibody testing. Integrating the observed statistical associations with extant literature on HCV risk, we also developed a qualitative system dynamics (SD) model to use as a supplemental data visualization tool to explore plausible pathways and interactions among key risk and protective factors for HCV. ResultsResults showed a 31% HCV antibody prevalence with an overall incidence of 10 per 100 person-years. HCV status was independently correlated with having shared cookers with two or more people (AOR = 2.17); injected drugs 4-6 years (AOR = 2.49) and 7 or more years (AOR = 4.95); lifetime homelessness (AOR = 2.52); and having been incarcerated two or more times (AOR = 1.99). These outcomes along with the extant literature on HCV risk were used to develop the qualitative SD model, which describes a causal hypothesis around non-linearities and feedback loop structures underlying the spread of HCV among YPWID. ConclusionsDespite ongoing harm reduction efforts, close to a third of YPWID in the community sample have been exposed to HCV, have risks for injection drug use, and face challenges with structural factors that may be preventing adequate intervention. The qualitative SD model explores these issues and contributes to a better understanding of how these various risk factors interact and what policies could potentially be effective in reducing HCV infections.

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