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Principal Investigator
David Kent
Tufts Medical Center
Position Title
Associate Professor of Medicine
About this CDAS Project
NLST (Learn more about this study)
Project ID
Initial CDAS Request Approval
Feb 8, 2017
Personalized Risk Information in Cost Effectiveness Studies (PRICES)
Most of evidence-based medicine is derived from the summary results of clinical trials and other group-based data. It is not surprising then that cost effectiveness estimation is also based on population average incremental costs and benefits. Health care resources, however, are more often allocated through medical decisions made by and for individual patients, who can vary substantially in their probability of benefiting from a given intervention, or in their outcome- or treatment-related preferences. Therefore, the average cost-effectiveness of any intervention may rarely have relevance for clinical decision making, when better personalized information is available.

Responding to a call from the NIH to develop an economic framework for personalized medicine, the Tufts Predictive Analytics and Comparative Effectiveness (PACE) Center and the Center for the Evaluation of Value and Risk, both at Tufts Medical Center, collaborated on a proposal to explore the value of providing clinicians and patients with information regarding each patient's individualized risk of having bad health outcomes so that clinicians can better tailor care.

A disease simulation model will be developed to determine the optimal strategy in terms of cost-effectiveness for different risk groups of individuals based on participants prescreening risk of lung-cancer death.The NLST data will be utilized to populate the model.


Medical Decision Making research group at the Department of Public Health at Erasmus Medical Center in Rotterdam, The Netherlands.

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