Development of a Multi-Criteria Decision Analysis Rating Tool to Prioritize Real-World Evidence Questions for the Canadian Real-World Evidence for Value of Cancer Drugs (CanREValue) Collaboration

Curr Oncol. 2023 Mar 28;30(4):3776-3786. doi: 10.3390/curroncol30040286.

Abstract

The Canadian Real-world Evidence for Value of Cancer Drugs (CanREValue) collaboration developed an MCDA rating tool to assess and prioritize potential post-market real-world evidence (RWE) questions/uncertainties emerging from public drug funding decisions in Canada. In collaboration with a group of multidisciplinary stakeholders from across Canada, the rating tool was developed following a three-step process: (1) selection of criteria to assess the importance and feasibility of an RWE question; (2) development of rating scales, application of weights and calculating aggregate scores; and (3) validation testing. An initial MCDA rating tool was developed, composed of seven criteria, divided into two groups. Group A criteria assess the importance of an RWE question by examining the (1) drug's perceived clinical benefit, (2) magnitude of uncertainty identified, and (3) relevance of the uncertainty to decision-makers. Group B criteria assess the feasibility of conducting an RWE analysis including the (1) feasibility of identifying a comparator, (2) ability to identify cases, (3) availability of comprehensive data, and (4) availability of necessary expertise and methodology. Future directions include partnering with the Canadian Agency for Drugs and Technology in Health's Provincial Advisory Group for further tool refinement and to gain insight into incorporating the tool into drug funding deliberations.

Keywords: decision-analysis; health technology assessment; multi-criteria decision analysis; oncology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Canada
  • Decision Support Techniques*
  • Humans
  • Neoplasms* / drug therapy

Grants and funding

This work was supported by the Canadian Institutes of Health Research (Grant #HRC-154126). This study was supported by the Canadian Centre for Applied Research in Cancer Control (ARCC). ARCC is funded by the Canadian Cancer Society Grant # 2020-706936.