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Cost Effectiveness of Tenofovir Disoproxil Fumarate for the Treatment of Chronic Hepatitis B from a Canadian Public Payer Perspective

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  • Helen Dakin
  • Morris Sherman
  • Scott Fung
  • Carrie Fidler
  • Anthony Bentley

Abstract

Introduction: Previous research has demonstrated that tenofovir disoproxil fumarate (DF) is the most cost-effective nucleos(t)ide treatment for chronic hepatitis B (CHB) in the UK, Spain, Italy and France. However, to our knowledge, no published studies have yet evaluated the cost effectiveness of any treatments for CHB in a Canadian setting, where relative prices and management of CHB differ from those in Europe. Aim: Our objective was to determine the cost effectiveness of tenofovir DF compared with other nucleos(t)ide therapies licensed for CHB in Canada from the perspective of publicly funded healthcare payers. Methods: A Markov model was used to calculate the costs and benefits of nucleos(t)ide therapy in three groups of patients with hepatitis B e antigen (HBeAg)-positive and -negative CHB: nucleos(t)ide-naive patients without cirrhosis; nucleos(t)ide-naive patients with compensated cirrhosis; and lamivudine- resistant patients. Disease progression was modelled as annual transitions between 18 disease states. Transition probabilities, quality of life and costs were based on published studies. Health benefits were measured in QALYs. The reference year for costs was 2007 and costs and outcomes were discounted at 5% per annum. Results: First-line tenofovir DF was the most effective nucleos(t)ide strategy for managing CHB, generating 6.85–9.39 QALYs per patient. First-line tenofovir DF was also the most cost-effective strategy in all patient subgroups investigated, costing between $Can43 758 and $Can48 015 per QALY gained compared with lamivudine then tenofovir. First-line tenofovir DF strongly dominated first-line entecavir. Giving tenofovir DF monotherapy immediately after lamivudine resistance developed was less costly and more effective than any other active treatment strategy investigated for lamivudine-resistant CHB, including second-line use of adefovir or adefovir + lamivudine. Probabilistic sensitivity analysis demonstrated 50% confidence that first-line tenofovir DF is the most cost-effective nucleos(t)ide strategy for treatmentnaive patients with CHB, at a $Can50 000 per QALY threshold, and confirmed that first-line tenofovir DF has the highest expected net benefits. Conclusions: First-line tenofovir DF appears to be the most cost-effective nucleos(t)ide treatment for both cirrhotic and non-cirrhotic CHB patients in Canada, providing that society is willing to pay at least $Can48 015 per QALY gained, although sensitivity analyses highlighted uncertainty around the results. Copyright Springer International Publishing AG 2011

Suggested Citation

  • Helen Dakin & Morris Sherman & Scott Fung & Carrie Fidler & Anthony Bentley, 2011. "Cost Effectiveness of Tenofovir Disoproxil Fumarate for the Treatment of Chronic Hepatitis B from a Canadian Public Payer Perspective," PharmacoEconomics, Springer, vol. 29(12), pages 1075-1091, December.
  • Handle: RePEc:spr:pharme:v:29:y:2011:i:12:p:1075-1091
    DOI: 10.2165/11589260-000000000-00000
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    References listed on IDEAS

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    1. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits," Medical Decision Making, , vol. 18(2_suppl), pages 68-80, April.
    2. Niklas Zethraeus & Magnus Johannesson & Bengt Jönsson & Mickael Löthgren & Magnus Tambour, 2003. "Advantages of Using the Net-Benefit Approach for Analysing Uncertainty in Economic Evaluation Studies," PharmacoEconomics, Springer, vol. 21(1), pages 39-48, January.
    3. Andrew H. Briggs & Ron Goeree & Gord Blackhouse & Bernie J. O’Brien, 2002. "Probabilistic Analysis of Cost-Effectiveness Models: Choosing between Treatment Strategies for Gastroesophageal Reflux Disease," Medical Decision Making, , vol. 22(4), pages 290-308, August.
    4. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits: A New Framework for the Analysis of Uncertainty in Cost-Effectiveness Analysis," NBER Technical Working Papers 0227, National Bureau of Economic Research, Inc.
    5. Paul Kind & Geoffrey Hardman & Susan Macran, 1999. "UK population norms for EQ-5D," Working Papers 172chedp, Centre for Health Economics, University of York.
    6. Claxton, Karl, 1999. "The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies," Journal of Health Economics, Elsevier, vol. 18(3), pages 341-364, June.
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