Assessing neuro-oncology clinical trial impact and value: Testing a novel multi-criteria decision analysis app
- Author(s)
- Field, KM; Rosenthal, MA; Gillett, P; IJzerman, M;
- Journal Title
- Journal of Clinical Neuroscience
- Publication Type
- Research article
- Abstract
- BACKGROUND: Many clinical trials are conducted globally, creating challenges in deciding which trial outcomes deserve a clinician's focus and where to direct limited resources. Determining the 'value' of a clinical trial relative to others could be useful in this context. The aim of this study was to test a novel web-based application using multi-criteria decision analysis (MCDA) to rank clinical trial value. METHODS: The MCDA tool combines seven metrics: unmet need; target population size; access; outcomes; cost; academic impact and use of results. Clinical trials were ranked according to their calculated 'value' - meaning the importance or worth of a trial. We determined face validity of the app using a set of ten published Phase 3 neuro-oncology clinical trials. A survey of neuro-oncology clinicians asked them to rank the same ten clinical trials, and to rank the seven metrics in terms of importance. RESULTS: The two highest app-ranked trials were in concordance with that of the survey respondents, and consistent with the two studies that have had the most impact on routine clinical practice in neuro-oncology. Of the seven metrics, surveyed clinicians considered patient outcomes and unmet need to be the most important when determining clinical trial value. CONCLUSIONS: The metrics app was able to rank and produce a numerical 'value' for existing phase 3 neuro-oncology clinical trials. In the future, a related app to prospectively rank future trials at the startup stage could be developed to help centers determine which should be prioritized to be conducted at their site.
- Publisher
- Elsevier
- Keywords
- Clinical trials; Decision analysis; Glioblastoma; Metrics; Multi-criteria decision analysis
- Department(s)
- Medical Oncology
- PubMed ID
- 37890196
- Publisher's Version
- https://doi.org/10.1016/j.jocn.2023.07.024
- Open Access at Publisher's Site
https://doi.org/10.1016/j.jocn.2023.07.024- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2023-11-30 06:12:29
Last Modified: 2023-11-30 06:21:19