Economic implications of failure to reduce incident HIV infections by 50% by 2005 in the United States.
BACKGROUND
The Centers for Disease Control and Prevention have set a national goal of reducing new HIV infections by 50% by 2005 in the United States. There are no available published estimates of the economic consequences of failure to meet this national goal, however.


OBJECTIVE
The purpose of this article is to calculate the potential net economic implications of a failure to meet the national HIV prevention goal of reducing new HIV infections by 50% by 2005.


METHODS
Standard methods of cost-effectiveness analysis were used to determine 1) the excess number of HIV infections incurred if the goal is not met and 2) the excess net medical costs (without the cost of an expanded HIV prevention program in the United States) incurred if the goal is not achieved.


RESULTS
Base case results indicate that if the goal is not met, 130,000 excess HIV infections will occur between the present and 2010 and that the excess net medical costs incurred will total over $18 billion during the same time frame. Sensitivity analyses indicate that although changes in some parameter values do alter the quantitative results, none alter the basic qualitative finding that even dramatically expanded HIV prevention efforts that reduce new HIV infections by 50% are actually cost saving to society.


CONCLUSIONS
The human and fiscal stakes of meeting the CDC's national HIV prevention goal of reducing new infections by 50% by 2005 are sufficiently large to make the achievement of this goal an urgent public health priority.
Holtgrave
David R
DR
Center for AIDS Research, Department of Behavioral Science and Health Education, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Room 540, Atlanta, GA 30322, U.S.A. dholtgr@sph.emory.edu
Pinkerton
Steven D
SD
D002487:Centers for Disease Control and Prevention, U.S.; D003365:Costs and Cost Analysis; D005544:Forecasting; D015658:HIV Infections / Q000191:economics* / Q000453:epidemiology / Q000517:prevention & control; D006801:Humans; D015994:Incidence; D017059:Models, Econometric; D013997:Time Factors; D014481:United States / Q000453:epidemiology