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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

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  • Caroline S. Bennette
  • David L. Veenstra
  • Anirban Basu
  • Laurence H. Baker
  • Scott D. Ramsey
  • Josh J. Carlson

Abstract

Objective . Value of information (VOI) analyses can align research with areas with the greatest potential impact on patient outcome, but questions remain concerning the feasibility and acceptability of these approaches to inform prioritization decisions. Our objective was to develop a process for calculating VOI in “real time†to inform trial funding decisions within SWOG, a large cancer clinical trials group. Methods . We developed an efficient and scalable VOI modeling approach using a selected sample of 9 randomized phase II/III trial proposals from the Breast, Gastrointestinal, and Genitourinary Disease Committees reviewed by SWOG’s leadership between 2008 and 2013. There was bidirectional communication between SWOG investigators and the research team throughout the modeling development. Partial expected value of sample information for the treatment effect evaluated by the proposed trial’s primary endpoint was calculated using Monte Carlo simulation. Results . We derived prior uncertainty in the treatment effect estimate from the sample size calculations. Our process was feasible for 8 of 9 trial proposals and efficient: the time required of 1 researcher was

Suggested Citation

  • 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.
    • Handle: RePEc:sae:medema:v:36:y:2016:i:5:p:641-651
    DOI: 10.1177/0272989X16636847
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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.
    2. Karl Claxton & Susan Griffin & Hendrik Koffijberg & Claire McKenna, 2013. "Expected health benefits of additional evidence: Principles, methods and applications," Working Papers 083cherp, Centre for Health Economics, University of York.
    3. David O. Meltzer & Ties Hoomans & Jeanette W. Chung & Anirban Basu, 2011. "Minimal Modeling Approaches to Value of Information Analysis for Health Research," Medical Decision Making, , vol. 31(6), pages 1-22, November.
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    Cited by:

    1. 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.
    2. David Glynn & Georgios Nikolaidis & Dina Jankovic & Nicky J. Welton, 2023. "Constructing Relative Effect Priors for Research Prioritization and Trial Design: A Meta-epidemiological Analysis," Medical Decision Making, , vol. 43(5), pages 553-563, July.

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