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Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment
Lidia Betcheva1, Jennifer Y Kim2, Feryal Erhun3
1Judge Business School, University of Cambridge, Cambridge, CB2 1AG, UK. lb702@jbs.cam.ac.uk.
Decentralized clinical trials (DCTs) can reduce patient burden and improve data quality. Customizing DCT solutions for patient needs and trial specifics is crucial for successful implementation and broader accessibility in research.
Area of Science:
- Clinical research methodology
- Health informatics
- Systems science
Background:
- Growing interest in decentralized clinical trials (DCTs) to address challenges in clinical development.
- Existing issues include participant burden, access, and data management complexities.
- DCTs offer potential solutions for improving efficiency and inclusivity in research.
Purpose of the Study:
- To examine the integration and impact of DCT solutions on clinical trial processes.
- To propose a framework for evaluating DCTs using systems thinking.
- To identify enablers for overcoming DCT implementation challenges.
Main Methods:
- Conceptual framework development using systems thinking.
- Iterative assessment of stakeholder pain points related to DCTs.
- Analysis of DCT deployments and their integration into existing systems.
Main Results:
- DCTs can mitigate participant burden and enhance data quality.
- Customization of DCTs to patient needs and trial requirements is essential.
- DCT elements introduce new demands on existing clinical trial systems.
Conclusions:
- Decentralized clinical trials require tailored approaches for optimal patient engagement and trial success.
- Further research is needed to empirically quantify the impact of DCTs.
- DCTs hold promise for making clinical research more accessible and relevant to diverse populations.
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