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Topic Title
- Minimal Modeling Approaches to Value of Information Analysis for Health Research
Future Research Needs – Methods Research Series
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- Engaging Stakeholders To Identify and Prioritize Future Research Needs
- Defining an Optimal Format for Presenting Research Needs
- Assessing the Impact of AHRQ Evidence-based Practice Center (EPC) Reports on Future Research
- Evaluating the Potential Use of Modeling and Value-of-Information Analysis for Future Research Prioritization Within the Evidence-based Practice Center Program
- Finding Evidence on Ongoing Studies
- Framework for Considering Study Designs for Future Research Needs
- Prioritization Criteria Methodology for Future Research Needs Proposals Within the Effective Health Care Program
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Future Research Needs Projects
Research Report - Final – Jun. 29, 2011
Minimal Modeling Approaches to Value of Information Analysis for Health Research
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Structured Abstract
Value of information (VOI) techniques can provide estimates of the expected benefits from clinical research studies. These VOI estimates can inform decisions about the design and priority of those studies. Most VOI studies use decision analytic models to characterize the uncertainty of the effects of interventions on health outcomes. For some potential applications of VOI, the complexity of constructing such models poses barriers to practical application of VOI. However, because some clinical studies can directly characterize uncertainty in health outcomes, it may sometimes be possible to perform VOI analysis with only minimal modeling. This paper (1) develops a framework to define and classify minimal modeling approaches to VOI; (2) reviews existing VOI studies that apply minimal modeling approaches; and (3) illustrates and discusses the application of the minimal modeling to two new clinical applications to which the approach appears well suited because clinical trials with comprehensive outcomes provide preliminary estimates of the uncertainty in outcomes. We conclude that minimal modeling approaches to VOI can be readily applied to in some instances to develop estimates of the expected benefits of clinical research.
