Publications by authors named "M V Gwadz"

Improving engagement along the HIV care continuum and reducing racial/ethnic disparities are necessary to end the HIV epidemic. Research on African American/Black and Latine (AABL) younger people living with HIV (LWH) is essential to this goal. However, a number of key subgroups are challenging to locate and engage, and are therefore under-represented in research.

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We used results from an optimization randomized controlled trial which tested five behavioral intervention components to support HIV antiretroviral adherence/HIV viral suppression, grounded in the multiphase optimization strategy and using a fractional factorial design to identify intervention components with cost-effectiveness sufficiently favorable for scalability. Results were incorporated into a validated HIV computer simulation to simulate longer-term effects of combinations of components on health and costs. We simulated the 32 corresponding long-term trajectories for viral load suppression, health related quality of life (HRQoL), and costs.

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Background: Racial/ethnic inequities along the HIV care continuum persist in the United States despite substantial federal investment. Numerous studies highlight individual and social-level impediments in HIV, but fewer foreground systemic barriers. The present qualitative study sought to uncover and describe systemic barriers to the HIV care continuum from the perspectives of African American/Black and Latino persons living with HIV (PLWH) with unsuppressed HIV viral load, including how barriers operated and their effects.

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Article Synopsis
  • The study focuses on enhancing behavioral interventions by balancing effectiveness and implementability, emphasizing the importance of decision-maker preferences in intervention selection.* -
  • It introduces DAIVE, a new decision-making framework that allows for optimized intervention selection based on different decision-maker objectives and a variety of outcome variables.* -
  • The application of DAIVE illustrates that the choice of intervention varies greatly depending on the specific priorities of decision-makers, providing guidance for future intervention optimization efforts.*
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