title: Economic analysis of HIV prevention interventions  in Andhra Pradesh state of India to inform  resource allocation.
abstract: OBJECTIVE
  To conduct composite economic analysis of HIV prevention interventions to inform efficient utilization of resources in India.
  
  
  METHODS
  We obtained output and economic cost data for the 2005-2006 fiscal year from a representative sample of 128 public-funded HIV prevention programmes of 14 types in Andhra Pradesh state of India. Using data from various sources, we developed a model to estimate the number of HIV infections averted. We estimated the additional HIV infections that could be averted if each intervention reached optimal coverage and the associated cost.
  
  
  RESULTS
  In a year, 9688 HIV infections were averted by public-funded HIV prevention interventions in Andhra Pradesh. Scaling-up interventions to the optimal level would require US$38.8 million annually, 2.8 times the US$13.8 million economic cost in 2005-2006. This could increase the number of HIV infections averted by 2.4-fold, if with higher resources there were many-fold increases in the proportional allocation for programmes for migrant labourers, men who have sex with men and voluntary counselling and testing, and reduction of the high proportion for mass media campaigns to one-third of the 2005-2006 proportion of resource utilization. If the proportions of resource allocation for interventions remained similar to 2005-2006, the higher resources would avert 54% of the additional avertable HIV infections.
  
  
  CONCLUSIONS
  The recent four-fold increase in public funding for HIV/AIDS control in India should be adequate to scale-up HIV prevention interventions to an optimal level in Andhra Pradesh, but the prevention would be suboptimal if additional investments were not preferentially directed to some particular interventions.
authors.affiliation: George Institute for International Health-India, Hyderabad, India. LDandona@george.org.in
authors.forename: Lalit
authors.initials: L
authors.lastname: Dandona
authors.forename: S G Prem
authors.initials: SG
authors.lastname: Kumar
authors.forename: G Anil
authors.initials: GA
authors.lastname: Kumar
authors.forename: Rakhi
authors.initials: R
authors.lastname: Dandona
mesh_terms: D003376:Counseling / Q000191:economics; D005260:Female; D005380:Financing, Government; D015658:HIV Infections / Q000191:economics* / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission; D017048:Health Care Costs / Q000706:statistics & numerical data; D015276:Health Care Rationing / Q000379:methods*; D006293:Health Promotion / Q000191:economics / Q000379:methods; D018451:Homosexuality, Male; D006801:Humans; D007194:India / Q000453:epidemiology; D008297:Male; D017059:Models, Econometric; D012725:Sexual Behavior; D014171:Transients and Migrants