Improved allocation of HIV prevention resources: using information about prevention program production functions.
To allocate HIV prevention resources effectively, it is important to have information about the effectiveness of alternative prevention programs as a function of expenditure. We refer to this relationship as the "production function" for a prevention program. Few studies of HIV prevention programs have reported this relationship. This paper demonstrates the value of such information. We present a simple model for allocating HIV prevention resources, and apply the model to an illustrative HIV prevention resource allocation problem. We show that, without sufficient information about prevention program production functions, suboptimal decisions may be made. We show that epidemiologic data, such as estimates of HIV prevalence or incidence, may not provide enough information to support optimal allocation of HIV prevention resources. Our results suggest that good allocations can be obtained based on fairly basic information about prevention program production functions: an estimate of fixed cost plus a single estimate of cost and resulting risk reduction. We find that knowledge of production functions is most important when fixed cost is high and/or when the budget is a significantly constraining factor. We suggest that, at the minimum, future data collection on prevention program effectiveness should include fixed and variable cost estimates for the intervention when implemented at a "typical" level, along with a detailed description of the intervention and detailed description of costs by category.
Brandeau
Margaret L
ML
Department of Management Science and Engineering, Stanford University, Stanford, CA 94305, USA.
Zaric
Gregory S
GS
de Angelis
Vanda
V
D002170:Canada / Q000453:epidemiology; D015658:HIV Infections / Q000453:epidemiology / Q000517:prevention & control*; D006801:Humans; D011314:Preventive Health Services / Q000191:economics / Q000458:organization & administration* / Q000592:standards; D040841:Resource Allocation