Value of Information Choices that Influence Estimates: A Systematic Review of Prevailing Considerations

Hendrik Koffijberg, Claire Rothery, Kalipso Chalkidou and Janneke Grutters

Medical Decision Making, 2018, vol. 38, issue 7, 888-900

Abstract: Background . Although value of information (VOI) analyses are increasingly advocated and used for research prioritization and reimbursement decisions, the interpretation and usefulness of VOI outcomes depend critically on the underlying choices and assumptions used in the analysis. In this article, we present a structured overview of all items reported in literature to potentially influence VOI outcomes. Use of this overview increases awareness and transparency of choices and assumptions underpinning VOI outcomes. Methods . A systematic literature review was performed to identify aspects of VOI analyses that were found to potentially influence VOI outcomes. Identified aspects were grouped to develop a structured overview. Explanations were defined for all items included in the overview. Results . We retrieved 687 unique papers, of which 71 original papers and 8 reviews were included. In the full text of these 79 papers, 16 aspects were found that may influence VOI outcomes. These aspects related to the underlying evidence (bias, synthesis, heterogeneity, correlation), uncertainty (structural, future pricing), model (relevance, approach, population), choices in VOI calculation (estimation technique, implementation level, population size, perspective), and aspects specifically for assessing the value of future study designs (reversal costs, efficient estimator). These aspects were aggregated into 7 items to provide a structured overview. Conclusion . The developed overview should increase awareness of key choices underlying VOI analysis and facilitate structured reporting of such choices and interpretation of the ensuing VOI outcomes by researchers and policy makers. Use of this overview should improve prioritization and reimbursement decisions.

Keywords: research; methodology; systematic review; uncertainty; value of information (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:38:y:2018:i:7:p:888-900

DOI: 10.1177/0272989X18797948

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