Literature DB >> 10637527

Combined antiviral treatment in HIV infection. Is it value for money?

D Davies1, C Carne, C Camilleri-Ferrante.   

Abstract

There is compelling evidence that combinations of antiretroviral drugs are significantly more effective than monotherapy and appear, at least in the short run, to offset problems caused by the rapid emergence of drug resistance which is characteristic of human immunodeficiency virus (HIV) infection.1,2 The routine prescribing of combination antiretroviral therapy appears to have contributed to a fall in HIV-related in-patient admissions, mortality and morbidity, with a concomitant increase in pharmacy costs. In this paper we have attempted to determine to what extent the reduction in direct hospital costs (reduced in-patient admissions, diagnostic tests and management of complications) will offset the considerably increased pharmacy costs; by using Markhov modelling procedures together with locally gathered costs data.

Entities:  

Keywords:  Cost Effectiveness; Delivery Of Health Care; Developed Countries; Diseases; Drugs--therapeutic use; Europe; Evaluation; Evaluation Indexes; Health; Health Services--cost; Hiv Infections; Northern Europe; Quantitative Evaluation; Research Report; Treatment; United Kingdom; Viral Diseases

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Year:  1999        PMID: 10637527     DOI: 10.1016/S0033-3506(99)00188-2

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  3 in total

Review 1.  AIDS policy modeling for the 21st century: an overview of key issues.

Authors:  M S Rauner; M L Brandeau
Journal:  Health Care Manag Sci       Date:  2001-09

2.  Using simulation for AIDS policy modeling: benefits for HIV/AIDS prevention policy makers in Vienna, Austria.

Authors:  Marion S Rauner
Journal:  Health Care Manag Sci       Date:  2002-04

3.  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

  3 in total

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