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Data-Driven Decision- Making Tools to Improve Public Resource Allocation for Care and Prevention of HIV/AIDS

March 2014
Author: Gery W. Ryan, Evan W. Bloom, David J. Lowsky, Mark T. Linthicum, Timothy Juday, Lisa Rosenblatt, Sonali Kulkarni, Dana P. Goldman, and Jennifer N. Sayles

Health Affairs

This article describes a data-driven decision making methodology called the “Robust Decision Making Approach.” Researchers applied the tool to various combinations of HIV prevention and treatment interventions in order to simulate the impact of each RA method on National HIV/AIDS Strategy (NHAS) objectives. The model had been developed for use in other sectors (e.g. water management and severe weather planning) and was applied to the HIV context.

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