Samuel Joyce P, Wootton Susan H
John P. and Kathrine G. McGovern Medical School, Health Science Center, University of Texas, Houston, Texas, United States of America.
Harv Data Sci Rev. 2022;2022(Spec Iss 3). doi: 10.1162/99608f92.2ded0fc5. Epub 2022 Sep 8.
The ethical and regulatory oversight of any clinical activity related to human subjects is commonly determined based on its categorization as either clinical practice or research. Prominent bioethicists have criticized the traditional distinctions used to delineate these categories, calling them counterproductive and outmoded, and arguing that learning and clinical practice should be deliberately and appropriately integrated. Personalized trials represent a clinical activity with characteristics that overlap both categories, making ethical and regulatory oversight requirements less straightforward. When the primary intent of the personalized trial is to assist in the conduct of individualized patient care with an emphasis on protecting the clinical decision from the biases inherent in usual clinical practice, how should this activity be regulated? In this article, we will explore the ethical underpinnings of personalized trials and propose various approaches to meeting regulatory requirements. Instead of imposing standard research regulations on the conduct of all personalized trials, we recommend that personalized trialists and IRB panels should consider whether participation in a personalized trial results in any foreseeable incremental increase in risk to the participant compared with usual care. This approach may reduce regulatory barriers, which could promote more widespread uptake of personalized trials.
对任何与人类受试者相关的临床活动的伦理和监管审查通常是根据其被归类为临床实践还是研究来确定的。著名生物伦理学家批评了用于划分这些类别的传统区分方式,称它们适得其反且过时,并认为学习和临床实践应被有意且适当地整合。个性化试验代表了一种临床活动,其特征在这两个类别中都有重叠,使得伦理和监管审查要求不那么直接明了。当个性化试验的主要目的是协助进行个体化患者护理,重点是保护临床决策免受常规临床实践中固有偏差的影响时,这种活动应如何监管?在本文中,我们将探讨个性化试验的伦理基础,并提出满足监管要求的各种方法。我们建议,个性化试验者和机构审查委员会不应将标准研究法规强加于所有个性化试验的开展上,而应考虑与常规护理相比,参与个性化试验是否会给参与者带来任何可预见的额外风险增加。这种方法可能会减少监管障碍,从而促进个性化试验更广泛地被采用。