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Impact of targeted interventions on heterosexual transmission of HIV in India

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Kumar, R., S. M. Mehendale, et al. (2011). "Impact of targeted interventions on heterosexual transmission of HIV in India." BMC Public Health 11.

Background: Targeted interventions (TIs) have been a major strategy for HIV prevention in India. We evaluated the impact of TIs on HIV prevalence in high HIV prevalence southern states (Tamil Nadu, Karnataka, Andhra Pradesh and Maharashtra).

Methods: A quasi-experimental approach was used to retrospectively compare changes in HIV prevalence according to the intensity of targeted intervention implementation. Condom gap (number of condoms required minus condoms supplied by TIs) was used as an indicator of TI intensity. Annual average number of commercial sex acts per female sex worker (FSW) reported in Behavioral Surveillance Survey was multiplied by the estimated number of FSWs in each district to calculate annual requirement of condoms in the district. Data of condoms supplied by TIs from 1995 to 2008 was obtained from program records. Districts in each state were ranked into quartiles based on the TI intensity. Primary data of HIV Sentinel Surveillance was analyzed to calculate HIV prevalence reductions in each successive year taking 2001 as reference year according to the quartiles of TI intensity districts using generalized linear model with logit link and binomial distribution after adjusting for age, education, and place of residence (urban or rural).

Results: In the high HIV prevalence southern states, the number of TI projects for FSWs increased from 5 to 310 between 1995 and 2008. In high TI intensity quartile districts (n = 30), 186 condoms per FSW/year were distributed through TIs as compared to 45 condoms/FSW/year in the low TI intensity districts (n = 29). Behavioral surveillance indicated significant rise in condom use from 2001 to 2009. Among FSWs consistent condom use with last paying clients increased from 58.6% to 83.7% (p < 0.001), and among men of reproductive age, the condom use during sex with non-regular partner increased from 51.7% to 68.6% (p < 0.001). A significant decline in HIV and syphilis prevalence has occurred in high prevalence southern states among FSWs and young antenatal women. Among young (15-24 years) antenatal clinic attendees significant decline was observed in HIV prevalence from 2001 to 2008 (OR = 0.42, 95% CI 0.28-0.62) in high TI intensity districts whereas in low TI intensity districts the change was not significant (OR = 1.01, 95% CI 0.67-1.5).

Conclusion: Targeted interventions are associated with HIV prevalence decline.

Why the focus on direct impact data?

A common challenge from policy makers, funders, community members, people directly experiencing development issues, and governments is: Demonstrate your Impact. Prove that what you are doing works. The high quality, highly credible data presented on the cards below is designed to help you answer that question for your social change, behaviour change, community engagement, communication and media for development, strategy formulation, policy engagement and funding initiatives. At this link filter the research data to your specific interests and priorities

Why a playing cards design?

There is a physical pack of cards with this data (to get a copy please request through the comment form for any card). The card approach allows for easy identification and selection of relevant direct impact data in any context. For example if talking with a donor and you need to identify proof of impact say "take a look at the 7 of Hearts". Quick access can be provided to high-quality data for many areas of your work – funding, planning, policy, advocacy, community dialogue, training, partner engagement, and more. A card deck is also engaging, easy to use and share, a conversation starter, and a resource - and they are fun and different. So we kept that design for the online images as it can serve similar purposes. 

What are the criteria for inclusion?

The impact data presented meets the following high standard for inclusion criteria:

  • Positive change or trend in a priority development issue;
  • Social change or behaviour change strategy or process;
  • Randomized Control Trial or Systematic Review methodology;
  • High quality peer review journal published;
  • Numeric impact data point
  • Published since 2010.