Department of Bioethics, NIH Clinical Center, Bethesda, MD 20892, USA.
JAMA. 2010 Oct 6;304(13):1472-9. doi: 10.1001/jama.2010.1414.
The ethical appropriateness of clinical research depends on protecting participants from excessive risks. Yet no systematic framework has been developed to assess research risks, and as a result, investigators, funders, and review boards rely only on their intuitive judgments. Because intuitive judgments of risk are subject to well-documented cognitive biases, this approach raises concern that research participants are not being adequately protected. To address this situation, we delineate a method called the systematic evaluation of research risks (SERR), which evaluates the risks of research interventions by comparing these interventions with the risks of comparator activities that have been deemed acceptable. This method involves a 4-step process: (1) identify the potential harms posed by the proposed research intervention; (2) categorize the magnitude of the potential harms into 1 of 7 harm levels on a harm scale; (3) quantify or estimate the likelihood of each potential harm; and (4) compare the likelihood of each potential harm from the research intervention with the likelihood of harms of the same magnitude occurring as a result of an appropriate comparator activity. By explicitly delineating, quantifying, and comparing the risks of research interventions with the risks posed by appropriate comparator activities, SERR offers a way to minimize the influence of cognitive biases on the evaluation of research risks and thereby better protect research participants from excessive risks.
临床研究的伦理适宜性取决于是否能保护参与者免受过度风险的影响。然而,目前尚未开发出系统的框架来评估研究风险,因此,研究人员、资助者和审查委员会只能依赖他们的直觉判断。由于对风险的直觉判断容易受到有据可查的认知偏见的影响,这种方法让人担心研究参与者没有得到充分保护。为了解决这一问题,我们描述了一种称为研究风险系统评估(SERR)的方法,该方法通过将研究干预措施与被认为可接受的比较活动的风险进行比较,来评估研究干预措施的风险。该方法包括以下 4 个步骤:(1)识别拟议研究干预措施带来的潜在危害;(2)在危害量表上将潜在危害的严重程度分为 7 个危害级别之一;(3)量化或估计每种潜在危害的可能性;(4)将研究干预措施的每种潜在危害的可能性与适当比较活动产生的相同严重程度的危害的可能性进行比较。通过明确界定、量化和比较研究干预措施的风险与适当比较活动带来的风险,SERR 提供了一种方法,可以最大限度地减少认知偏见对研究风险评估的影响,从而更好地保护研究参与者免受过度风险的影响。