Employing resource allocation modeling to inform HIV prevention planning for the state of Iowa.

David R. Holtgrave, Patricia A. Young, Randall R. Mayer, Cathy Maulsby, J. Janet Kim

Research output: Contribution to journalArticle

Abstract

In fiscal year (FY) 2012, the Centers for Disease Control and Prevention (CDC) reallocated their HIV prevention funding to U.S. states, territories, and some cities so as to be more highly correlated with 2008 HIV prevalence. A jurisdiction's HIV prevention funding could drop as low as $750,000 for FY 2016. Iowa was one state that experienced a substantial funding drop, and it chose to undertake a mathematical modeling exercise to inform the following questions: (a) Given current HIV prevention funding for the state, what is the optimal allocation of resources to maximize infections averted? (b) With this "optimal" resource allocation, how many (and what percentage of) HIV infections in the state can be averted? (c) Is the optimal resource allocation sufficient to achieve the National HIV/AIDS Strategy goal of 25% reduction in HIV incidence? and (d) With the "optimal" resource allocation, is the return on the investment such that it might be considered cost-effective? Here, we describe the results of the policy analysis, and the uses of the results.

Original languageEnglish (US)
Pages (from-to)423-429
Number of pages7
JournalAIDS education and prevention : official publication of the International Society for AIDS Education
Volume25
Issue number5
StatePublished - Oct 1 2013
Externally publishedYes

ASJC Scopus subject areas

  • Health(social science)
  • Public Health, Environmental and Occupational Health
  • Infectious Diseases

Fingerprint Dive into the research topics of 'Employing resource allocation modeling to inform HIV prevention planning for the state of Iowa.'. Together they form a unique fingerprint.

  • Cite this