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Integrating Sustainability Pillars Into Trial Design Decision-Making: Results of an International Survey
Pritibha Singh1, Oleksandr Sverdlov2, Robert A Beckman3
1Pharmacoepidemiology Group, Institute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Abstract:
The pharmaceutical industry is increasingly shifting to decentralized clinical trials (DCTs) conducted at the patient's home, sometimes including trial material home delivery. The traditional clinical trial (CT) is conducted at the investigational site. Research suggests that centralized and decentralized trials have a large carbon footprint, with DCTs potentially providing patient-centric solutions. However, leaders must determine how to integrate environmental, economic, and social sustainability pillars into their portfolios and subsequent downstream trial-level decisions. An online survey was designed and deployed via Eidgenössische Technische Hochschule's (ETH, Swiss Federal Institute of Technology) SurveySelect software to capture perceptions of priorities and tradeoffs when deciding between a DCT and a traditional CT for each pillar. The survey closed on 31st January 2023. A total of 447 participants responded. The findings revealed that the overall cohort prioritized greenhouse gas emissions (22.4%) for environmental impact, trial probability of success (15%) for economic considerations, and patient convenience (23.3%) for social criteria. Overall, the DCT setting was perceived as more sustainable in all pillars. Participants reported tradeoffs centered on patient engagement and bringing new medicines to the market. The results from this survey provide initial insights into international multistakeholder perceptions of the priorities and tradeoffs when choosing between a traditional CT and DCT. The synthesized perceptions inform three key recommendations: the need (1) for simulation studies to guide holistic decision-making across all pillars as empirical data accumulates, (2) to protect the environment, and (3) to protect the supply chain. As empirical data accumulates, these recommendations provide directionality for further research.
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