Literature DB >> 26651525

Prioritizing HIV comparative effectiveness trials based on value of information: generic versus brand-name ART in the US.

Pamela P Pei1, Milton C Weinstein, X Cynthia Li, Michael D Hughes, A David Paltiel, Taige Hou, Robert A Parker, Melanie R Gaynes, Paul E Sax, Kenneth A Freedberg, Bruce R Schackman, Rochelle P Walensky.   

Abstract

BACKGROUND: Value of Information (VOI) analysis examines whether to acquire information before making a decision. We introduced VOI to the HIV audience, using the example of generic antiretroviral therapy (ART) in the US. METHODS AND
FINDINGS: We used a mathematical model and probabilistic sensitivity analysis (PSA) to generate probability distributions of survival (in quality-adjusted life years, QALYs) and cost for three potential first-line ART regimens: three-pill generic, two-pill generic, and single-pill branded. These served as input for a comparison of two hypothetical two-arm trials: three-pill generic versus single-pill branded; and two-pill generic versus single-pill branded. We modeled pre-trial uncertainty by defining probability distributions around key inputs, including 24-week HIV-RNA suppression and subsequent ART failure. We assumed that, without a trial, patients received the single-pill branded strategy. Post-trial, we assumed that patients received the most cost-effective strategy. For both trials, we quantified the probability of changing to a generic-based regimen upon trial completion and the expected VOI in terms of improved health outcomes and costs. Assuming a willingness to pay (WTP) threshold of $100 000/QALY, the three-pill trial led to more treatment changes (84%) than the two-pill trial (78%). Estimated VOI was $48 000 (three-pill trial) and $35 700 (two-pill trial) per future patient initiating ART.
CONCLUSIONS: A three-pill trial of generic ART is more likely to lead to post-trial treatment changes and to provide more value than a two-pill trial if policy decisions are based on cost-effectiveness. Value of Information analysis can identify trials likely to confer the greatest impact and value for HIV care.

Entities:  

Keywords:  Cost-effectiveness analysis; Decision modeling; Generic drugs; HIV; Value of information

Mesh:

Substances:

Year:  2015        PMID: 26651525      PMCID: PMC4718767          DOI: 10.1080/15284336.2015.1123942

Source DB:  PubMed          Journal:  HIV Clin Trials        ISSN: 1528-4336


  37 in total

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Authors:  Kevin P High; Mark Brennan-Ing; David B Clifford; Mardge H Cohen; Judith Currier; Steven G Deeks; Sherry Deren; Rita B Effros; Kelly Gebo; Jörg J Goronzy; Amy C Justice; Alan Landay; Jules Levin; Paolo G Miotti; Robert J Munk; Heidi Nass; Charles R Rinaldo; Michael G Shlipak; Russell Tracy; Victor Valcour; David E Vance; Jeremy D Walston; Paul Volberding
Journal:  J Acquir Immune Defic Syndr       Date:  2012-07-01       Impact factor: 3.731

2.  The value of medical spending in the United States, 1960-2000.

Authors:  David M Cutler; Allison B Rosen; Sandeep Vijan
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3.  HIV vaccine research: the way forward.

Authors:  Anthony S Fauci; Margaret I Johnston; Carl W Dieffenbach; Dennis R Burton; Scott M Hammer; James A Hoxie; Malcolm Martin; Julie Overbaugh; David I Watkins; Adel Mahmoud; Warner C Greene
Journal:  Science       Date:  2008-07-25       Impact factor: 47.728

4.  Value of information and pricing new healthcare interventions.

Authors:  Andrew R Willan; Simon Eckermann
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5.  What does the value of modern medicine say about the $50,000 per quality-adjusted life-year decision rule?

Authors:  R Scott Braithwaite; David O Meltzer; Joseph T King; Douglas Leslie; Mark S Roberts
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Review 6.  A systematic and critical review of the evolving methods and applications of value of information in academia and practice.

Authors:  Lotte Steuten; Gijs van de Wetering; Karin Groothuis-Oudshoorn; Valesca Retèl
Journal:  Pharmacoeconomics       Date:  2013-01       Impact factor: 4.981

7.  Preevaluation of clinical trial data: the case of preemptive cytomegalovirus therapy in patients with human immunodeficiency virus.

Authors:  A D Paltiel; S J Goldie; E Losina; M C Weinstein; G R Seage ; A D Kimmel; H Zhang; K A Freedberg
Journal:  Clin Infect Dis       Date:  2001-02-28       Impact factor: 9.079

8.  Abacavir-lamivudine versus tenofovir-emtricitabine for initial HIV-1 therapy.

Authors:  Paul E Sax; Camlin Tierney; Ann C Collier; Margaret A Fischl; Katie Mollan; Lynne Peeples; Catherine Godfrey; Nasreen C Jahed; Laurie Myers; David Katzenstein; Awny Farajallah; James F Rooney; Belinda Ha; William C Woodward; Susan L Koletar; Victoria A Johnson; P Jan Geiseler; Eric S Daar
Journal:  N Engl J Med       Date:  2009-12-01       Impact factor: 91.245

9.  96-week comparison of once-daily atazanavir/ritonavir and twice-daily lopinavir/ritonavir in patients with multiple virologic failures.

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Journal:  AIDS       Date:  2006-03-21       Impact factor: 4.177

10.  Cost effectiveness of the National HIV/AIDS Strategy goal of increasing linkage to care for HIV-infected persons.

Authors:  Chaitra Gopalappa; Paul G Farnham; Angela B Hutchinson; Stephanie L Sansom
Journal:  J Acquir Immune Defic Syndr       Date:  2012-09-01       Impact factor: 3.731

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  1 in total

1.  Implementing Generalized Additive Models to Estimate the Expected Value of Sample Information in a Microsimulation Model: Results of Three Case Studies.

Authors:  Dustin J Rabideau; Pamela P Pei; Rochelle P Walensky; Amy Zheng; Robert A Parker
Journal:  Med Decis Making       Date:  2017-11-09       Impact factor: 2.583

  1 in total

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