title: Optimal targeting of Hepatitis C virus treatment among injecting drug users to those not enrolled in methadone maintenance programs.
abstract: BACKGROUND
  This work used mathematical modelling to explore effective policy for Hepatitis C virus (HCV) treatment in Australia in the context of methadone maintenance treatment (MMT).
  
  
  METHODS
  We consider two models to depict HCV in the population of injecting drug users (IDU) within Australia. The first model considers the IDU population as a whole. The second model includes separate components for those that are or are not enrolled in MMT. The impact of different levels of HCV treatment and its allocation dependent on MMT status were then determined in terms of the steady state levels of each of these models.
  
  
  RESULTS
  Although increasing levels of HCV treatment decrease chronic infection prevalence, initially numbers of acutely infected can rise. This is caused by the high rate of reinfection. We find that no matter the extent of HCV treatment, HCV prevalence cannot be eliminated without limiting risk behaviour. Assuming equal adherence to HCV therapy between MMT and non-MMT, over 84% of HCV treatment should be allocated to those not in MMT. Only if adherence to HCV therapy in non-MMT patients falls below 44% of that in MMT then treatment should be preferentially directed to those in MMT.
  
  
  CONCLUSIONS
  Contrary to generally held beliefs regarding HCV treatment the majority of therapy should be allocated to those that are still actively injecting. This is due to rates of reinfection and to the high turnover of individuals in MMT. Higher adherence to HCV therapy in MMT would need to be achieved before this changed.
authors.affiliation: Drug Policy Modelling Program, National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW 2052, Australia.
authors.forename: Irmgard
authors.initials: I
authors.lastname: Zeiler
authors.forename: Trevor
authors.initials: T
authors.lastname: Langlands
authors.forename: John M
authors.initials: JM
authors.lastname: Murray
authors.forename: Alison
authors.initials: A
authors.lastname: Ritter
mesh_terms: D003198:Computer Simulation; D005260:Female; D016174:Hepacivirus / Q000187:drug effects / Q000378:metabolism / Q000502:physiology*; D006801:Humans; D008297:Male; D008691:Methadone / Q000627:therapeutic use*; D009294:Narcotics / Q000627:therapeutic use*; D016485:Needle Sharing / Q000009:adverse effects; D010349:Patient Compliance; D015995:Prevalence; D012307:Risk Factors; D015819:Substance Abuse, Intravenous / Q000150:complications / Q000453:epidemiology / Q000534:rehabilitation*
chemical_list: D009294:Narcotics; D008691:Methadone