Evidence map›Paper›PMID 38668044›Full record

ArticleCurrent oncology (Toronto, Ont.)2024

Application of Multi-Criteria Decision Analysis (MCDA) to Prioritize Real-World Evidence Studies for Health Technology Management: Outcomes and Lessons Learned by the Canadian Real-World Evidence for Value of Cancer Drugs (CanREValue) Collaboration.

Pam Takhar, Marc Geirnaert, Scott Gavura, Jaclyn Beca, Rebecca E Mercer, Avram Denburg, Caroline Muñoz, Mina Tadrous, Ambica Parmar, Francois Dionne and 12 more

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Pam TakharOntario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada.
Marc GeirnaertCancerCare Manitoba, Winnipeg, MB R3E 0V9, Canada.
Scott GavuraOntario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada.ORCID 0000-0002-8635-6889
Jaclyn BecaOntario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada.
Rebecca E MercerOntario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada.ORCID 0000-0002-9264-7797
Avram DenburgDivision of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada.ORCID 0000-0003-0039-0742
Caroline MuñozOntario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada.
Mina TadrousLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.ORCID 0000-0003-1911-6129
Ambica ParmarDivision of Medical Oncology & Hematology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M3, Canada.
Francois DionnePrioritize Consulting Ltd., Vancouver, BC V6S 2B3, Canada.
Darryl BoehmSaskatchewan Cancer Agency, Regina, SK S4W 0G3, Canada.
Carole ChambersAlberta Health Services, Calgary, AB T5J 3E4, Canada.
Erica CraigNew Brunswick Cancer Network, Fredericton, NB E3B 5G8, Canada.
Maureen TrudeauDivision of Medical Oncology & Hematology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M3, Canada.
Matthew C CheungEvaluative Clinical Services, Sunnybrook Research Institute, Toronto, ON M4N 3M3, Canada.
Joanne HoulihanNova Scotia Health, Halifax, NS B3S 0H6, Canada.
Valerie McDonaldIndependent Patient Representative, Toronto, ON M6G 2V3, Canada.
Petros PechlivanoglouChild Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G 1X8, Canada.
Marianne TaylorBC Cancer, Kelowna, BC V1Y 5L3, Canada.ORCID 0009-0003-2131-6792
Eric WasylenkoDepartment of Oncology, University of Calgary, Calgary, AB T2N 1N4, Canada.
Wiesława Dominika WranikDepartment of Public and International Affairs, Faculty of Management, Dalhousie University, Halifax, NS B3H 4R2, Canada.ORCID 0000-0002-7318-3886
Kelvin K W ChanOntario Health (Cancer Care Ontario), Toronto, ON M5G 2L3, Canada.

Funding

CIHR HRC- 535 154126
6 · The paper itself

Abstract

Multi-criteria decision analysis (MCDA) is a value assessment tool designed to help support complex decision-making by incorporating multiple factors and perspectives in a transparent, structured approach. We developed an MCDA rating tool, consisting of seven criteria evaluating the importance and feasibility of conducting potential real-world evidence (RWE) studies aimed at addressing uncertainties stemming from initial cancer drug funding recommendations. In collaboration with the Canadian Agency for Drugs and Technologies in Health's Provincial Advisory Group, a validation exercise was conducted to further evaluate the application of the rating tool using RWE proposals varying in complexity. Through this exercise, we aimed to gain insight into consensus building and deliberation processes and to identify efficiencies in the application of the rating tool. An experienced facilitator led a multidisciplinary committee, consisting of 11 Canadian experts, through consensus building, deliberation, and prioritization. A total of nine RWE proposals were evaluated and prioritized as low (n = 4), medium (n = 3), or high (n = 2) priority. Through an iterative process, efficiencies and recommendations to improve the rating tool and associated procedures were identified. The refined MCDA rating tool can help decision-makers prioritize important and feasible RWE studies for research and can enable the use of RWE for the life-cycle evaluation of cancer drugs.

Indexed as

Antineoplastic AgentsDecision Support TechniquesCanadaConsensusHumansNeoplasmsTechnology Assessment, BiomedicalAntineoplastic Agentsdecision-analysishealth technology assessmentmulti-criteria decision analysisoncology

Identifiers

PMID38668044
PMCPMC11049582

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.