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Development of a Multi-Criteria Decision Analysis Rating Tool to Prioritize Real-World Evidence Questions for the

Ambica Parmar1,2, Wei Fang Dai2, Francois Dionne3

  • 1Division of Medical Oncology & Hematology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M3, Canada.

Current Oncology (Toronto, Ont.)
|May 15, 2023
PubMed

Insights

The Canadian Real-world Evidence for Value of Cancer Drugs collaboration created a tool to prioritize cancer drug evidence questions. This multi-criteria decision analysis (MCDA) tool helps assess the importance and feasibility of real-world evidence (RWE) studies.

Area of Science:

  • Health Economics
  • Pharmaceutical Policy
  • Real-World Evidence

Background:

  • Public drug funding decisions in Canada require robust evidence.
  • Prioritizing post-market real-world evidence (RWE) questions is crucial for value assessment.
  • Existing methods for prioritizing RWE questions are not standardized.

Purpose of the Study:

  • To develop and validate a multi-criteria decision analysis (MCDA) rating tool.
  • To assess and prioritize potential post-market RWE questions for cancer drugs.
  • To support evidence-based drug funding decisions in Canada.

Main Methods:

  • A three-step development process involving multidisciplinary stakeholders.
  • Selection of criteria for assessing RWE question importance and feasibility.
  • Development of rating scales, weighting, and aggregate score calculation, followed by validation testing.

Main Results:

  • An initial MCDA rating tool with seven criteria was developed.
  • Criteria assess RWE question importance (clinical benefit, uncertainty magnitude, decision-maker relevance).
  • Criteria assess RWE feasibility (comparator identification, case ascertainment, data availability, expertise).

Conclusions:

  • The MCDA tool provides a structured approach to prioritizing RWE questions.
  • The tool can inform drug funding deliberations by focusing on high-priority evidence needs.
  • Future work will involve refinement with the Canadian Agency for Drugs and Technology in Health.
Keywords:
decision-analysishealth technology assessmentmulti-criteria decision analysisoncology

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