4.3 Article

Optimization of Multicomponent Behavioral and Biobehavioral Interventions for the Prevention and Treatment of HIV/AIDS

Journal

AIDS AND BEHAVIOR
Volume 20, Issue -, Pages S197-S214

Publisher

SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10461-015-1145-4

Keywords

Behavioral intervention; Biobehavioral intervention; Multiphase optimization strategy; Factorial design; Fractional factorial design

Funding

  1. Eunice Kennedy Shriver Institute for Child Health and Human Development [R03 HD079711]
  2. National Institute on Drug Abuse [P50 DA010075, R01 DA032083, P30 DA011041]
  3. National Institute for Diabetes and Digestive and Kidney Diseases [R01 DK097364]
  4. National Cancer Institute [P01 CA180945]
  5. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [R03HD079711] Funding Source: NIH RePORTER
  6. NATIONAL CANCER INSTITUTE [P01CA180945] Funding Source: NIH RePORTER
  7. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [R01DK097364] Funding Source: NIH RePORTER
  8. NATIONAL INSTITUTE ON DRUG ABUSE [P30DA011041, P50DA010075, R01DA032083] Funding Source: NIH RePORTER

Ask authors/readers for more resources

To move society toward an AIDS-free generation, behavioral interventions for prevention and treatment of HIV/AIDS must be not only effective, but also cost-effective, efficient, and readily scalable. The purpose of this article is to introduce to the HIV/AIDS research community the multiphase optimization strategy (MOST), a new methodological framework inspired by engineering principles and designed to develop behavioral interventions that have these important characteristics. Many behavioral interventions comprise multiple components. In MOST, randomized experimentation is conducted to assess the individual performance of each intervention component, and whether its presence/absence/setting has an impact on the performance of other components. This information is used to engineer an intervention that meets a specific optimization criterion, defined a priori in terms of effectiveness, cost, cost-effectiveness, and/or scalability. MOST will enable intervention science to develop a coherent knowledge base about what works and does not work. Ultimately this will improve behavioral interventions systematically and incrementally.

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