Opportunities and challenges with decentralized trials in Neuroscience

被引:1
|
作者
Burger, Hans Ulrich [1 ]
van de Casteele, Tom [2 ]
Rantell, Khadija Rerhou [3 ]
Corey-Lisle, Patricia [4 ]
Sfikas, Nikolaos [5 ]
Abt, Markus [1 ]
机构
[1] Hoffmann La Roche AG, Basel, Switzerland
[2] Lundbeck AS, Copenhagen, Denmark
[3] MHRA, London, England
[4] Genentech Inc, South San Francisco, CA USA
[5] Novartis AG, Basel, Switzerland
关键词
bias; clinical outcome assessment; decentralized trials; estimand; estimand framework; simulation; RATING-SCALE; POLYSOMNOGRAPHY;
D O I
10.1002/bimj.202200370
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Decentralized clinical trials (DCTs), that is, studies integrating elements of telemedicine and mobile/local healthcare providers allowing for home-based assessments, are an important concept to make studies more resilient and more patient-centric by taking into consideration participant's views and shifting trial activities to better meet the needs of trial participants. There are however, not only advantages but also challenges associated with DCTs. An area to be addressed by appropriate statistical methodology is the integration of data resulting from a possible mix of home and clinic assessments at different visits for the same variable, especially in adjusting for sources of possible systematic differences. One source of systematic bias may be how a participant perceives their disease and treatment in their home versus in a clinical setting. In this paper, we will discuss these issues with a focus on Neuroscience when participants have the choice between home and clinic assessments to illustrate how to identify systematic biases and describe appropriate approaches to maintain clinical trial scientific rigor. We will describe the benefits and challenges of DCTs in Neuroscience and then describe the relevance of home versus clinic assessments using the estimand framework. We outline several options to enable home assessments in a study. Results of simulations will be presented to help deciding between design and analysis options in a simple scenario where there might be differences in response between clinic and home assessments.
引用
收藏
页数:17
相关论文
共 50 条
  • [22] Twitter Journal Clubs in Perioperative Neuroscience: Opportunities and Challenges
    Abcejo, Arnoley S.
    Adedugbe, Ibukun
    Rosenblatt, Kathryn
    JOURNAL OF NEUROSURGICAL ANESTHESIOLOGY, 2021, 33 (03) : 192 - 194
  • [23] Overcoming boundaries: Interdisciplinary challenges and opportunities in cognitive neuroscience
    Brignol, Arnaud
    Paas, Anita
    Sotelo-Castro, Luis
    St-Onge, David
    Beltrame, Giovanni
    Coffey, Emily B. J.
    NEUROPSYCHOLOGIA, 2024, 200
  • [24] Social neuroscience: challenges and opportunities in the study of complex behavior
    Cacioppo, John T.
    Decety, Jean
    YEAR IN COGNITIVE NEUROSCIENCE, 2011, 1224 : 162 - 173
  • [25] Bridging Media Psychology and Cognitive Neuroscience Challenges and Opportunities
    Weber, Rene
    Eden, Allison
    Huskey, Richard
    Mangus, J. Michael
    Falk, Emily
    JOURNAL OF MEDIA PSYCHOLOGY-THEORIES METHODS AND APPLICATIONS, 2015, 27 (03) : 146 - 156
  • [26] Challenges and opportunities in SLE clinical trials
    van Vollenhoven, Ronald F.
    CURRENT OPINION IN RHEUMATOLOGY, 2013, 25 (05) : 606 - 615
  • [27] Investigator led trials: challenges and opportunities
    Peter Sandercock
    Trials, 12 (Suppl 1)
  • [28] Decentralized Physical Infrastructure Networks (DePIN): Challenges and Opportunities
    Lin, Zhibin
    Wang, Taotao
    Shi, Long
    Zhang, Shengli
    Cao, Bin
    IEEE NETWORK, 2025, 39 (02): : 91 - 99
  • [29] Decentralized Machine Learning Governance: Overview, Opportunities, and Challenges
    Alsagheer, Dana
    Xu, Lei
    Shi, Weidong
    IEEE ACCESS, 2023, 11 : 96718 - 96732
  • [30] DECENTRALIZED TESTING - OPPORTUNITIES AND CHALLENGES FOR CLINICAL-CHEMISTRY
    HORDER, M
    CLINICAL CHEMISTRY, 1990, 36 (06) : 943 - 944