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1.
Transfusion ; 49(12): 2729-42, 2009 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-19709093

RESUMO

BACKGROUND: The goal of our research was to actively involve decision makers in the economic assessment of screening strategies in their region. This study attempted to accomplish this by providing an easy-to-use Web interface at http://www.bloodsafety.info that allows decision makers to adapt this model to local conditions. STUDY DESIGN AND METHODS: The cost-effectiveness was compared of 1) adding antigen screening to antibody screening for hepatitis C virus (HCV) and human immunodeficiency virus (HIV); 2) adding nucleic acid amplification testing (NAT) on hepatitis B virus (HBV), HCV, and HIV in minipool (pool of 6 [MP6] and 24 [MP24]) to antibody screening and hepatitis B surface antigen (HBsAg) screening; and 3) individual-donation NAT on HBV, HCV, and HIV to antibody screening and HBsAg screening for Ghana, Thailand, and the Netherlands. RESULTS: The combination of HCV antibody-antigen combination (combo) and HIV combo added to antibody screening in Ghana and Thailand was cost-effective according to the WHO criteria. MP24-NAT screening in Ghana was also cost-effective. MP24-NAT on HBV, HCV, and HIV was not cost-effective compared to the other screening strategies evaluated for the Netherlands. Large regional differences in cost-effectiveness were found for Thailand. CONCLUSION: The young transfusion recipient population of Ghana in combination with a high risk of viral transmission yields better cost-effectiveness for additional tests. The advanced age of the transfused population of the Netherlands and a small risk of viral transmission gives poor cost-effectiveness for more sensitive screening techniques. It was demonstrated that a global health economic model combined with a Web interface can provide easy access to risk assessment and cost-effectiveness analysis.


Assuntos
Bancos de Sangue/economia , Doadores de Sangue/estatística & dados numéricos , Transfusão de Sangue/economia , Controle de Doenças Transmissíveis/economia , Internet , Transfusão de Sangue/estatística & dados numéricos , Controle de Doenças Transmissíveis/estatística & dados numéricos , Análise Custo-Benefício , Transmissão de Doença Infecciosa/economia , Transmissão de Doença Infecciosa/estatística & dados numéricos , Gana/epidemiologia , Saúde Global , Infecções por HIV/sangue , Infecções por HIV/prevenção & controle , Infecções por HIV/transmissão , Hepatite B/sangue , Hepatite B/prevenção & controle , Hepatite B/transmissão , Hepatite C/sangue , Hepatite C/prevenção & controle , Hepatite C/transmissão , Humanos , Modelos Econométricos , Países Baixos/epidemiologia , Medição de Risco , Fatores de Risco , Tailândia/epidemiologia , Reação Transfusional , Armazenamento de Sangue/métodos
2.
Cost Eff Resour Alloc ; 5: 15, 2007 Nov 22.
Artigo em Inglês | MEDLINE | ID: mdl-18034881

RESUMO

BACKGROUND: This study compares the costs and effects of a regimen with ritonavir-boosted tipranavir (TPV/r) to a physician-selected genotypically-defined standard-of-care comparator protease inhibitor regimen boosted with ritonavir (CPI/r) in HIV infected patients that were previously exposed to antiretroviral therapy in the Netherlands. METHODS: We compared the projected lifetime costs and effects of two theoretical groups of 1000 patients, one receiving a standard of care regimen with TPV/r as a component and the other receiving a standard of care regimen with CPI/r. A 3-stage Markov model was formulated to represent three different consecutive HAART regimens. The model uses 12 health states based on viral load and CD4+ count to simulate disease progression. The transition probabilities for the Markov model were derived from a United States cohort of treatment experienced HIV patients. Furthermore, the study design was based on 48-week data from the RESIST-2 clinical trial and local Dutch costing data. Cost and health effects were discounted at 4% and 1.5% respectively according to the Dutch guideline. The analysis was conducted from the Dutch healthcare perspective using 2006 unit cost prices. RESULTS: Our model projects an accumulated discounted cost to the Dutch healthcare system per patient receiving the TPV/r regimen of euro167,200 compared to euro145,400 for the CPI/r regimen. This results in an incremental cost of euro21,800 per patient. The accumulated discounted effect is 7.43 life years or 6.31 quality adjusted life years (QALYs) per patient receiving TPV/r, compared to 6.91 life years or 5.80 QALYs per patient receiving CPI/r. This translates into an incremental effect of TPV/r over CPI/r of 0.52 life years gained (LYG) or 0.51 QALYs gained. The corresponding incremental cost effectiveness ratios (iCERs) are euro41,600 per LYG and euro42,500 per QALY. CONCLUSION: We estimated the iCER for TPV/r compared to CPI/r at approximately euro40,000 in treatment experienced HIV-1 infected patients in the Netherlands. This ratio may well be in range of what is acceptable and warrants reimbursement for new drug treatments in the Netherlands, in particular in therapeutic areas as end-stage oncology and HIV and other last-resort health-care interventions.

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