Decision sciences for health equity

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Our research is guided by a justice-oriented definition of value in health.

We use methods in decision sciences, health services research, and epidemiology to understand what works, for whom, and at what cost, with a focus on mental and behavioral health.

Our team at The University of Texas at Austin conducts rigorous studies with various partners to improve health and health services.

Learn more about our members.

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Bar chart comparing high and low parameter values for split-dose methadone vs. buprenorphine. Bars depict healthcare costs and probabilities in contrasting colors, with a focus on healthcare costs and quality of life impacts.

Cost-effectiveness of split-dose methadone, single-dose methadone, and buprenorphine in the treatment of opioid use disorder during pregnancy

This study used decision-analytic modeling to compare the health effects, costs, and cost-effectiveness of three treatments for opioid use disorder during pregnancy. We found that split-dose methadone generated the most health benefits (measured in terms of quality-adjusted life years), but buprenorphine was the most cost-effective option.

Published in the Journal of Substance Abuse & Addiction Treatment (link). Co-authored with Ruth Jeminiwa and Dennis Hand from Thomas Jefferson University.

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