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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

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...

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Detalles Bibliográficos
Autores principales: Parmar, Ambica, Dai, Wei Fang, Dionne, Francois, Geirnaert, Marc, Denburg, Avram, Ahuja, Tarry, Beca, Jaclyn, Bouchard, Sylvie, Chambers, Carole, Hunt, Melissa J., Husereau, Don, Lungu, Elena, McDonald, Valerie, Mercer, Rebecca E., Mitera, Gunita, Muñoz, Caroline, Naipaul, Rohini, Peacock, Stuart, Potashnik, Tanya, Tadrous, Mina, Takhar, Pam, Taylor, Marianne, Trudeau, Maureen, Wasney, Danica, Gavura, Scott, Chan, Kelvin K. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137247/
https://www.ncbi.nlm.nih.gov/pubmed/37185399
http://dx.doi.org/10.3390/curroncol30040286
Descripción
Sumario: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.