Cost-effectiveness of routine and low-cost CD4 T-cell count compared with WHO clinical staging of HIV to guide initiation of antiretroviral therapy in resource-limited settings

AIDS. 2010 Jul 31;24(12):1887-95. doi: 10.1097/QAD.0b013e32833b25ed.

Abstract

Background: HIV is a major cause of disease and death in sub-Saharan Africa. Provision and scale-up of antiretroviral therapy (ART) in resource-limited settings is feasible and cost-effective. Initiation of ART is guided by WHO stage or CD4 cell count; the latter may not be available and up to 70% of eligible individuals are not identified. Low-cost CD4 cell count tests are comparable to conventional methods. We compared the direct healthcare costs and benefits using routine and low-cost CD4 cell count versus WHO staging to initiate ART.

Methods: Using a Markov state transition model, we incorporated costs, survival and quality of life. We compared the direct healthcare costs and benefits in quality-adjusted life years gained using routine and low-cost CD4 cell count versus WHO staging to initiate ART. We estimated an incremental cost-effectiveness ratio in US$ per quality-adjusted life year gained and compared with threshold of gross domestic product per capita. Uncertainty was assessed by sensitivity analysis.

Results: Routine and low-cost CD4 cell counts compared to WHO staging to guide initiation of ART improved quantity and quality of life and appears to be very cost-effective. The base case estimated an incremental cost-effectiveness ratio of US$939 and US$85 per quality-adjusted life years gained, respectively, and well below the cost effectiveness thresholds of gross domestic product per capita.

Conclusion: Routine or low-cost CD4 cell count compared to WHO staging, to guide initiation of ART, is a very cost-effective intervention for sub-Saharan Africa and should be an integral part of the scale-up of ART programs.

Publication types

  • Evaluation Study

MeSH terms

  • Africa South of the Sahara / epidemiology
  • CD4 Lymphocyte Count / economics*
  • Cost-Benefit Analysis
  • Delivery of Health Care / economics*
  • Delivery of Health Care / statistics & numerical data
  • Drug Administration Schedule
  • Female
  • HIV Infections / drug therapy
  • HIV Infections / economics*
  • HIV Infections / epidemiology
  • Humans
  • Male
  • Markov Chains
  • Probability
  • Quality-Adjusted Life Years