4.7 Article

Modeling Combination Interventions to Prevent Human Immunodeficiency Virus in Adolescent Girls and Young Women in South Africa (HIV Prevention Trials Network 068)

Journal

CLINICAL INFECTIOUS DISEASES
Volume 73, Issue 7, Pages E1911-E1918

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cid/ciaa1598

Keywords

adolescent girls and young women; combination HIV prevention; South Africa; HIV; causal inference

Funding

  1. NIH [R01 MH110186, R01MH087118, K01AI125087]
  2. National Institute of Allergy and Infectious Diseases [UM1 AI068619, UM1AI068617, UM1AI068613]
  3. National Institute of Mental Health
  4. National Institute on Drug Abuse of the NIH
  5. Carolina Population Center
  6. NIH Center [P2C HD050924]

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The study modeled interventions on combinations of HIV risk factors in adolescent girls and young women, finding that interventions to increase schooling, decrease depression, and decrease transactional sex showed the largest reduction in incident HIV infection. However, interventions on only transactional sex and depression still resulted in a significant reduction in HIV incidence.
Background. Combination interventions may be an effective way to prevent human immunodeficiency virus (HIV) in adolescent girls and young women. However, current studies are not designed to understand which specific interventions and combinations will be most effective. We estimate the possible impacts of interventions on a combination of factors associated with HIV. Methods. We used the g-formula to model interventions on combinations of HIV risk factors to identify those that would prevent the most incident HIV infections, including low school attendance, intimate partner violence, depression, transactional sex, and age-disparate partnerships. We used data from the HIV Prevention Trials Network (HPTN) 068 study in rural South Africa from 2011 to 2017. We estimated HIV incidence under a potential intervention that reduced each risk factor and compared this to HIV incidence under the current distribution of these risk factors. Results. Although many factors had strong associations with HIV, potential intervention estimates did not always suggest large reductions in HIV incidence because the prevalence of risk factors was low. When modeling combination effects, an intervention to increase schooling, decrease depression, and decease transactional sex showed the largest reduction in incident infection (risk difference, -1.4%; 95% confidence interval [CI], -2.7% to -.2%), but an intervention on only transactional sex and depression still reduced HIV incidence by -1.3% (95% CI, -2.6% to -.2%). Conclusions. To achieve the largest reductions in HIV, both prevalence of the risk factor and strength of association with HIV must be considered. Additionally, intervening on more risk factors may not necessarily result in larger reductions in HIV incidence.

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