HIV infects over 50,000 new people each year in the US. An important reason why HIV transmission persists is not because of an absence of potentially effective interventions, but rather because effective interventions are often not implemented. To address this problem, we have created a proposal that integrates comparative effectiveness research (which compares the effectiveness of different interventions) and operations research (which compares alternative portfolios of interventions, rather than comparing single interventions in isolation). We place particular emphasis on alcohol because it is a common modifiable risk factor for HIV transmission and is a common modifiable risk factor for HIV progression. Because unsafe alcohol use often occurs together with multi-substance use (MSU) and depression, because they often act on similar pathways to impact HIV transmission, our proposal considers portfolios of interventions that can address these oft-intertwined behaviors simultaneously or in a sequenced, prioritized progression. We also consider intervention designs that can be further tailored based on individual patient characteristics such as age and comorbidity burden. We seek to implement this operations research model within an interactive web-based laboratory that aims to improve research methods by encouraging greater "cross-talk" between modeling, observational data analysis, and trial design;and by identify patient groups that may particularly benefit from interventions, or tailoring results to the needs of particular stakeholders.
This proposal will create an interactive, web-based simulation model of HIV transmission that can help decision makers prioritize which intervention designs are most effective by tailoring results to patients and feasibility constraints.
|Petersen, Maya; Yiannoutsos, Constantin T; Justice, Amy et al. (2014) Observational research on NCDs in HIV-positive populations: conceptual and methodological considerations. J Acquir Immune Defic Syndr 67 Suppl 1:S8-16|
|Kessler, Jason; Braithwaite, R Scott (2013) Modeling the cost-effectiveness of HIV treatment: how to buy the most 'health' when resources are limited. Curr Opin HIV AIDS 8:544-9|