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Unique Digital Images as Incentives in Clinical Trials: A Digital Shift Toward Meaningful Participation
Xavier Tadeo1,2, Gyula Seres1,2, Peter Wang1,2,3
1Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, 28 Medical Drive, #05-COR, Singapore, SG.01, 117456, Singapore, 65 66017766.
Novel digital images, like non-fungible tokens (NFTs), can boost clinical trial participation and retention. This approach uses personalized digital art to enhance engagement beyond traditional monetary rewards.
Area of Science:
- Digital Health
- Health Informatics
- Behavioral Science
Background:
- Clinical trial recruitment and retention face challenges with traditional compensation.
- Digital health innovations offer new avenues for participant engagement.
- Existing incentives may not fully leverage intrinsic motivation.
Purpose of the Study:
- To propose and illustrate a novel digital incentive for clinical trial participation.
- To explore the use of personalized digital artworks (NFTs) as symbolic rewards.
- To investigate the potential of digital incentives for enhancing engagement and retention.
Main Methods:
- Participants engaged in AI-personalized digital therapeutics training via CURATE.DTx.
- Individualized learning trajectories were transformed into unique digital artworks.
- These artworks were minted as non-fungible tokens (NFTs) and awarded upon trial completion.
Main Results:
- The proposed method integrates gamification, personalization, and blockchain technology.
- This approach aims to support both intrinsic and extrinsic participant motivation.
- The study provides an illustrative example of digital incentive implementation.
Conclusions:
- Digital incentives like personalized NFTs may offer a more effective engagement strategy than monetary rewards alone.
- This novel approach has implications for decentralized healthcare and long-term behavior change.
- Further research is encouraged to explore digital incentives in clinical trials and health interventions.
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