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Rapid Assessment of the Need for Evidence: Applying the Principles of Value of Information to Research Prioritisation

Author

Listed:
  • David Glynn

    (University of York)

  • Vijay S. Gc

    (University of Huddersfield)

  • Karl Claxton

    (University of York)

  • Chris Littlewood

    (Edgehill University)

  • Claire Rothery

    (University of York)

Abstract

We propose a short-cut heuristic approach to rapidly estimate value of information (VOI) using information commonly reported in a research funding application to make a case for the need for further evaluative research. We develop a “Rapid VOI” approach, which focuses on uncertainty in the primary outcome of clinical effectiveness and uses this to explore the health consequences of decision uncertainty. We develop a freely accessible online tool, Rapid Assessment of the Need for Evidence (RANE), to allow for the efficient computation of the value of research. As a case study, the method was applied to a proposal for research on shoulder pain rehabilitation. The analysis was included as part of a successful application for research funding to the UK National Institute for Health and Care Research. Our approach enables research funders and applicants to rapidly estimate the value of proposed research. Rapid VOI relies on information that is readily available and reported in research funding applications. Rapid VOI supports research prioritisation and commissioning decisions where there is insufficient time and resources available to develop and validate complex decision-analytic models. The method provides a practical means for implementing VOI in practice, thus providing a starting point for deliberation and contributing to the transparency and accountability of research prioritisation decisions.

Suggested Citation

  • David Glynn & Vijay S. Gc & Karl Claxton & Chris Littlewood & Claire Rothery, 2024. "Rapid Assessment of the Need for Evidence: Applying the Principles of Value of Information to Research Prioritisation," PharmacoEconomics, Springer, vol. 42(9), pages 919-928, September.
    • Handle: RePEc:spr:pharme:v:42:y:2024:i:9:d:10.1007_s40273-024-01403-w
    DOI: 10.1007/s40273-024-01403-w
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    References listed on IDEAS

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    1. David O. Meltzer & Ties Hoomans & Jeannette W. Chung & Anirban Basu & Kathryn J. Aikin & Amie C. O’Donoghue & John L. Swasy & Helen W. Sullivan & David G. T. Whitehurst & Stirling Bryan & Martyn Lew, 2011. "Minimal Modeling Approaches to Value of Information Analysis for Health Research," Medical Decision Making, , vol. 31(6), pages 785-786, November.
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    8. Francesco Ramponi & Simon Walker & Susan Griffin & Steve Parrott & Colin Drummond & Paolo Deluca & Simon Coulton & Mona Kanaan & Gerry Richardson, 2021. "Cost‐effectiveness analysis of public health interventions with impacts on health and criminal justice: An applied cross‐sectoral analysis of an alcohol misuse intervention," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 972-988, May.
    9. Caroline S. Bennette & David L. Veenstra & Anirban Basu & Laurence H. Baker & Scott D. Ramsey & Josh J. Carlson, 2016. "Development and Evaluation of an Approach to Using Value of Information Analyses for Real-Time Prioritization Decisions Within SWOG, a Large Cancer Clinical Trials Cooperative Group," Medical Decision Making, , vol. 36(5), pages 641-651, July.
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