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

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 optimi...

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Publicado en:AIDS & Behavior Vol. 20; pp. 197 - 215
Autores principales: Collins, Linda, Kugler, Kari, Gwadz, Marya
Formato: research tables/charts Journal Article
Publicado: Springer Nature Jan2016 Supplement
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Optimization of Multicomponent Behavioral and Biobehavioral Interventions for the Prevention and Treatment of HIV/AIDS.
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          Collins, Linda
          Kugler, Kari
          Gwadz, Marya
        affil: Department of Human Development and Family Studies and The Methodology Center, The Pennsylvania State University, 404 Health & Human Development Building University Park 16802 USA
      sug:
        subj:
          HIV Infections Prevention and Control
          HIV Infections Psychosocial Factors
          Acquired Immunodeficiency Syndrome
          Methodological Research
          Factorial Design
          Human
          HIV Infections Economics
      ab: 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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    language: English
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