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Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment

Recently, there has been a growing interest in understanding how decentralized clinical trial (DCT) solutions can mitigate existing challenges in clinical development, particularly participant burden and access, and the collection, management, and quality of clinical data. This paper examines DCT de...

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Autores principales: Betcheva, Lidia, Kim, Jennifer Y., Erhun, Feryal, Oraiopoulos, Nektarios, Getz, Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400692/
https://www.ncbi.nlm.nih.gov/pubmed/37389795
http://dx.doi.org/10.1007/s43441-023-00540-2
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author Betcheva, Lidia
Kim, Jennifer Y.
Erhun, Feryal
Oraiopoulos, Nektarios
Getz, Kenneth
author_facet Betcheva, Lidia
Kim, Jennifer Y.
Erhun, Feryal
Oraiopoulos, Nektarios
Getz, Kenneth
author_sort Betcheva, Lidia
collection PubMed
description Recently, there has been a growing interest in understanding how decentralized clinical trial (DCT) solutions can mitigate existing challenges in clinical development, particularly participant burden and access, and the collection, management, and quality of clinical data. This paper examines DCT deployments, emphasizing how they are integrated and how they may impact clinical trial oversight, management, and execution. We propose a conceptual framework that employs systems thinking to evaluate the impact on key stakeholders through a reiterative assessment of pain points. We conclude that decentralized solutions should be customized to meet patient needs and preferences and the unique requirements of each clinical trial. We discuss how DCT elements introduce new demands and pressures within the existing system and reflect on enablers that can overcome DCT implementation challenges. As stakeholders look for ways to make clinical research more relevant and accessible to a larger and more diverse patient population, further robust and granular research is needed to quantify the impact of DCTs empirically.
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spelling pubmed-104006922023-08-05 Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment Betcheva, Lidia Kim, Jennifer Y. Erhun, Feryal Oraiopoulos, Nektarios Getz, Kenneth Ther Innov Regul Sci Original Research Recently, there has been a growing interest in understanding how decentralized clinical trial (DCT) solutions can mitigate existing challenges in clinical development, particularly participant burden and access, and the collection, management, and quality of clinical data. This paper examines DCT deployments, emphasizing how they are integrated and how they may impact clinical trial oversight, management, and execution. We propose a conceptual framework that employs systems thinking to evaluate the impact on key stakeholders through a reiterative assessment of pain points. We conclude that decentralized solutions should be customized to meet patient needs and preferences and the unique requirements of each clinical trial. We discuss how DCT elements introduce new demands and pressures within the existing system and reflect on enablers that can overcome DCT implementation challenges. As stakeholders look for ways to make clinical research more relevant and accessible to a larger and more diverse patient population, further robust and granular research is needed to quantify the impact of DCTs empirically. Springer International Publishing 2023-06-30 2023 /pmc/articles/PMC10400692/ /pubmed/37389795 http://dx.doi.org/10.1007/s43441-023-00540-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Betcheva, Lidia
Kim, Jennifer Y.
Erhun, Feryal
Oraiopoulos, Nektarios
Getz, Kenneth
Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment
title Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment
title_full Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment
title_fullStr Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment
title_full_unstemmed Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment
title_short Applying Systems Thinking to Inform Decentralized Clinical Trial Planning and Deployment
title_sort applying systems thinking to inform decentralized clinical trial planning and deployment
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400692/
https://www.ncbi.nlm.nih.gov/pubmed/37389795
http://dx.doi.org/10.1007/s43441-023-00540-2
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