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The Potential Cost-Effectiveness of HIV Vaccines: A Systematic Review

Author

Listed:
  • Blythe Adamson

    (Department of Pharmacy, University of Washington)

  • Dobromir Dimitrov

    (Fred Hutchinson Cancer Research Center)

  • Beth Devine

    (Department of Pharmacy, University of Washington)

  • Ruanne Barnabas

    (Fred Hutchinson Cancer Research Center
    University of Washington)

Abstract

Objective The aim of this paper was to review and compare HIV vaccine cost-effectiveness analyses and describe the effects of uncertainty in model, methodology, and parameterization. Methods We systematically searched MEDLINE (1985 through May 2016), EMBASE, the Tufts Cost-Effectiveness Analysis (CEA) Registry, and the reference lists of articles following Cochrane and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eligibility criteria included peer-reviewed manuscripts with economic models estimating the cost-effectiveness of preventive HIV vaccines. Two reviewers independently assessed study quality and extracted data on model assumptions, characteristics, input parameters, and outcomes. Results The search yielded 71 studies, 11 of which met the inclusion criteria. Populations included low-income (n = 7), middle-income (n = 4), and high-income countries (n = 2). Model structure varied, including decision tree (n = 1), Markov (n = 5), compartmental (n = 4), and microsimulation (n = 1). Most studies measured outcomes in quality-adjusted life-years (QALYs) gained (n = 6), whereas others used unadjusted (n = 3) or disability-adjusted life-years (n = 2). The range of HIV vaccine costs were $US1.54–75 in low-income countries, $US55–100 in middle-income countries, and $US500–1000 in the USA. Base-case incremental cost-effectiveness ratios (ICERs) ranged from dominant (cost offsetting) to $US91,000 per QALY gained. Conclusion Most models predicted HIV vaccines would be cost-effective. Model assumptions about vaccine price, HIV treatment costs, epidemic context, and willingness to pay influenced results more consistently than did assumptions on HIV transmission dynamics.

Suggested Citation

  • Blythe Adamson & Dobromir Dimitrov & Beth Devine & Ruanne Barnabas, 2017. "The Potential Cost-Effectiveness of HIV Vaccines: A Systematic Review," PharmacoEconomics - Open, Springer, vol. 1(1), pages 1-12, March.
    • Handle: RePEc:spr:pharmo:v:1:y:2017:i:1:d:10.1007_s41669-016-0009-9
    DOI: 10.1007/s41669-016-0009-9
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    References listed on IDEAS

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    1. David O. Meltzer & Ties Hoomans & Jeanette W. Chung & Anirban Basu, 2011. "Minimal Modeling Approaches to Value of Information Analysis for Health Research," Medical Decision Making, , vol. 31(6), pages 1-22, November.
    2. Don Husereau & Michael Drummond & Stavros Petrou & Chris Carswell & David Moher & Dan Greenberg & Federico Augustovski & Andrew Briggs & Josephine Mauskopf & Elizabeth Loder, 2013. "Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 367-372, June.
    3. David O. Meltzer & Ties Hoomans & Jeannette W. Chung & Anirban Basu & Kathryn J. Aikin & Amie C. O’Donoghue & John L. Swasy & Helen W. Sullivan & David G. T. Whitehurst & Stirling Bryan & Martyn Lew, 2011. "Minimal Modeling Approaches to Value of Information Analysis for Health Research," Medical Decision Making, , vol. 31(6), pages 785-786, November.
    4. Briggs, Andrew & Sculpher, Mark & Claxton, Karl, 2006. "Decision Modelling for Health Economic Evaluation," OUP Catalogue, Oxford University Press, number 9780198526629.
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    1. Christian Selinger & Dobromir T. Dimitrov & Philip A. Welkhoff & Anna Bershteyn, 2019. "The future of a partially effective HIV vaccine: assessing limitations at the population level," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(6), pages 957-964, July.

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