Literature DB >> 10181990

The cost-effectiveness of treatment with lamivudine and zidovudine compared with zidovudine alone: a comparison of Markov model and trial data estimates.

J Mauskopf1, L Lacey, A Kempel, K Simpson.   

Abstract

In this paper, we present a Markov model for estimating the cost-effectiveness of combination therapy with lamivudine (LMV) and zidovudine (ZDV) compared with ZDV alone. We also compare the predictions of the Markov model for the impact of combination therapy on trial period costs with the actual impact of combination therapy on selected trial period costs estimated from data collected during the clinical trials. In the Markov model, disease stages were defined by CD4 cell count. Based on clinical trial data for patients with CD4 counts higher than 100 cells/mm3, the model assumed that the CD4 cell count level could be maintained above the level at the initiation of therapy for 6.5 months with monotherapy and for 18 months with combination therapy. After this period, transition rates for natural disease progression were used. Incremental lifetime costs and quality-adjusted life years gained with LMV/ZDV compared with ZDV alone were estimated for cohorts of patients initiating antiretroviral therapy at four different CD4 cell count stages. Cost per life year gained varied from $10,000 to $18,000, and cost per quality-adjusted life year gained varied from $14,000 to $27,000. In both cases, the combination therapy was more cost-effective when started earlier in disease progression. These estimates were not sensitive to changes in key parameter values. In addition, the model was used to estimate the impact of combination therapy on healthcare costs during the trial period; these estimated costs were compared with data on the cost of resource use collected during the clinical trial for hospital stays, unscheduled visits, medications, and outpatient procedures. Both the Markov model estimates and the trial data estimates for the trial period showed cost savings in other medical costs, though these were not large enough to completely offset the increased cost for antiretroviral therapy. The model estimates were more conservative than the estimates based on the trial data.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 10181990

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  10 in total

Review 1.  Cost effectiveness of combination HIV therapy: 3 years later.

Authors:  R D Moore
Journal:  Pharmacoeconomics       Date:  2000-04       Impact factor: 4.981

2.  Comparison of Markov model and discrete-event simulation techniques for HIV.

Authors:  Kit N Simpson; Alvin Strassburger; Walter J Jones; Birgitta Dietz; Rukmini Rajagopalan
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

Review 3.  A methodological review of models used to estimate the cost effectiveness of antiretroviral regimens for the treatment of HIV infection.

Authors:  Josephine Mauskopf
Journal:  Pharmacoeconomics       Date:  2013-11       Impact factor: 4.981

4.  A prospective evaluation of the cost effectiveness of adding lamivudine to zidovudine-containing antiretroviral treatment regimens in HIV infection. European perspective.

Authors:  L Lacey; M Youle; P Trueman; S Staszewski; M Schrappe; M Behrens
Journal:  Pharmacoeconomics       Date:  1999       Impact factor: 4.981

5.  A prospective cost-consequence analysis of adding lamivudine to zidovudine-containing antiretroviral treatment regimens for HIV infection in the US.

Authors:  L Lacey; J Mauskopf; R Lindrooth; S Pham; M Saag; W Sawyer
Journal:  Pharmacoeconomics       Date:  1999       Impact factor: 4.981

6.  Lamivudine reduces healthcare resource use when added to zidovudine-containing regimens in patients with HIV infection.

Authors:  L Lacey; M J Gill
Journal:  Pharmacoeconomics       Date:  1999       Impact factor: 4.981

7.  An evaluation of the cost effectiveness of adding lamivudine to zidovudine-containing regimens in HIV infection. Canadian perspective.

Authors:  L Lacey; P K Hopkinson; J Montaner; F Leblanc; M J Gill
Journal:  Pharmacoeconomics       Date:  1999       Impact factor: 4.981

8.  The effect of cost construction based on either DRG or ICD-9 codes or risk group stratification on the resulting cost-effectiveness ratios.

Authors:  Elinor C G Chumney; Andrea K Biddle; Kit N Simpson; Morris Weinberger; Kathryn M Magruder; William N Zelman
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

9.  HIV treatment as prevention: modelling the cost of antiretroviral treatment--state of the art and future directions.

Authors:  Gesine Meyer-Rath; Mead Over
Journal:  PLoS Med       Date:  2012-07-10       Impact factor: 11.069

10.  Cost-effectiveness analysis of Option B+ for HIV prevention and treatment of mothers and children in Malawi.

Authors:  Olufunke Fasawe; Carlos Avila; Nathan Shaffer; Erik Schouten; Frank Chimbwandira; David Hoos; Olive Nakakeeto; Paul De Lay
Journal:  PLoS One       Date:  2013-03-12       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.