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Updated: Nov 8, 2025
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A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
Published on: September 20, 2019
10.9K
Randomised trials at the level of the individual
Jay J H Park1, Nathan Ford2, Denis Xavier3
1Department of Experimental Medicine, University of British Columbia, Vancouver, BC, Canada.
The Lancet. Global Health
|April 18, 2021
Summary
Adaptive trial designs and master protocols offer more efficient clinical trial research in global health. Statistical simulations during planning are crucial, though complexity and funding pose challenges.
Area of Science:
- Global Health Research
- Clinical Trial Design
- Biostatistics
Background:
- Traditional clinical trials in global health are often small-scale, short-term, and lack flexibility.
- Fixed, two-arm designs limit adaptability during the trial.
- This paper builds on previous work in the Series.
Purpose of the Study:
- To discuss data-driven adaptive trial designs for global health research.
- To explore the master protocol framework for harmonizing research.
- To propose a framework for more efficient clinical trial research.
Main Methods:
- Discussion of data-driven approaches in adaptive trial designs.
- Examination of the master protocol framework.
- Emphasis on statistical simulations for study design planning.
Main Results:
- Adaptive designs and master protocols can enhance efficiency in clinical trials.
- Statistical simulations are vital for selecting optimal study designs.
- Methodological and operational complexities are inherent in these advanced designs.
Conclusions:
- Adaptive trial designs and master protocols represent a move towards more efficient global health research.
- Careful planning with statistical simulations is essential.
- Current funding challenges may impede the widespread adoption of these innovative approaches.
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