Group for Research in Decision Analysis

Decision analytic modeling to inform blood safety policy

Alton Russell MGH Institute for Technology Assessment, Harvard Medical School, United States

Alton Russell

Webinar link
Webinar ID: 892 8627 7640
Passcode: 403265

Since HIV and Hepatitis C epidemics in the 1980’s, keeping the supply of donate blood free of disease has been a public health priority. Decision-analytic modeling can inform blood safety policy by elucidating trade-offs between costs, risks, and supply sufficiency. This talk will describe three projects that aim to inform blood safety policy. The first project is a cost-effectiveness analysis of the US policy of screening all blood donations for Zika virus. This analysis uses a novel microsimulation of individual transfusion recipients that captured the relationship between disease exposure risk and the number and type of blood components transfused. The second project is the first cost-effectiveness analysis of whole blood pathogen inactivation, a technology that reduces risk of adverse outcomes in patients receiving blood transfusions. The analysis is for Ghana and improves on prior blood safety assessments for sub-Saharan Africa by considering the likelihood and timing of clinical detection for chronic viral infections. In the third project, I develop an optimization-based framework for identifying the optimal portfolio of blood safety interventions across three modalities: deferring high-risk donors, testing for disease markers, and using risk-reducing modifications (e.g., pathogen reduction) which prevent disease transmission. This framework overcomes limitations of traditional cost-effectiveness analyses for blood safety. These three projects use decision-analytic modeling to inform the efficient use of limited resources for blood safety.