title: Equity and efficiency in HIV-treatment in South Africa: the contribution of mathematical programming to priority setting.
abstract: The HIV-epidemic is one of the greatest public health crises to face South Africa. A health care response to the treatment needs of HIV-positive people is a prime example of the desirability of an economic, rational approach to resource allocation in the face of scarcity. Despite this, almost no input based on economic analysis is currently used in national strategic planning. While cost-utility analysis is theoretically able to establish technical efficiency, in practice this is accomplished by comparing an intervention's ICER to a threshold level representing society's maximum willingness to pay to avoid death and improve health-related quality of life. Such an approach has been criticised for a number of reasons, including that it is inconsistent with a fixed budget for health care and that equity is not taken into account. It is also impractical if no national policy on the threshold exists. As an alternative, this paper proposes a mathematical programming approach that is capable of highlighting technical efficiency, equity, the equity/efficiency trade-off and the affordability of alternative HIV-treatment interventions. Government could use this information to plan an HIV-treatment strategy that best meets equity and efficiency objectives within budget constraints.
authors.affiliation: Health Economics Unit, School of Public Health and Family Medicine, University of Cape Town, South Africa. Susan.Cleary@uct.ac.za
authors.forename: Susan
authors.initials: S
authors.lastname: Cleary
authors.forename: Gavin
authors.initials: G
authors.lastname: Mooney
authors.forename: Di
authors.initials: D
authors.lastname: McIntyre
mesh_terms: D019380:Anti-HIV Agents / Q000191:economics* / Q000627:therapeutic use; D018791:CD4 Lymphocyte Count; D003365:Costs and Cost Analysis; D017598:Efficiency, Organizational; D015658:HIV Infections / Q000188:drug therapy / Q000191:economics*; D015276:Health Care Rationing / Q000379:methods; D006292:Health Priorities / Q000706:statistics & numerical data*; D006296:Health Services / Q000191:economics / Q000706:statistics & numerical data; D006801:Humans; D008390:Markov Chains; D055641:Mathematical Concepts; D017063:Outcome Assessment, Health Care / Q000191:economics / Q000379:methods; D011788:Quality of Life; D013019:South Africa
chemical_list: D019380:Anti-HIV Agents