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Cost-Effectiveness in Health and Medicine$
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Peter J. Neumann, Theodore G. Ganiats, Louise B. Russell, Gillian D. Sanders, and Joanna E. Siegel

Print publication date: 2016

Print ISBN-13: 9780190492939

Published to Oxford Scholarship Online: November 2016

DOI: 10.1093/acprof:oso/9780190492939.001.0001

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Evidence Synthesis for Informing Cost-Effectiveness Analysis

Evidence Synthesis for Informing Cost-Effectiveness Analysis

(p.237) 9 Evidence Synthesis for Informing Cost-Effectiveness Analysis
Cost-Effectiveness in Health and Medicine

Thomas A. Trikalinos

Louise B. Russell

Gillian D. Sanders

Oxford University Press

This is a new chapter, highlighting the importance of interpreting, adjusting, and synthesizing evidence for informing cost-effectiveness analysis (CEA) models. The chapter goes beyond the original Panel’s conception of evidence synthesis for CEAs by calling for analysts to undertake a pre-analytical phase (defining a question and identifying pertinent data from distinct sources), an analytical phase (positing and learning relationships across data from distinct sources), and a post-analytical phase (conjecturing on the implications of the learned relationships for the question at hand). Unlike systematic reviews and meta-analyses that aim to describe the state of the evidence and the distribution of effects from relevant studies, the goal of evidence synthesis for decision making is to obtain bias-corrected estimates of model parameters in the modeled setting. This invariably requires extra-empirical information, and places more demands on the analytic machinery.

Keywords:   Meta-analysis, multivariate meta-analysis, missingness, bias, transferability, predictive distribution, uncertainty propagation

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