Kaiser Permanente Washington Health Research Institute, Seattle, USA.
Trials. 2021 Aug 17;22(1):541. doi: 10.1186/s13063-021-05517-w.
In 1979, Marvin Zelen proposed a new design for randomized clinical trials intended to facilitate clinicians' and patients' participation. The defining innovation of Zelen's proposal was random assignment of treatment prior to patient or participant consent. Following randomization, a participant would receive information and asked to consent to the assigned treatment.
This narrative review examined recent examples of Zelen design trials evaluating clinical and public health interventions.
Zelen designs have often been applied to questions regarding real-world treatment or intervention effects under conditions of incomplete adherence. Examples include evaluating outreach or engagement interventions (especially for stigmatized conditions), evaluating treatments for which benefit may vary according to participant motivation, and situations when assignment to a control or usual care condition might prompt a disappointment effect. Specific practical considerations determine whether a Zelen design is scientifically appropriate or practicable. Zelen design trials usually depend on identifying participants automatically from existing records rather than by advertising, referral, or active recruitment. Assessments of baseline or prognostic characteristics usually depend on available records data rather than research-specific assessments. Because investigators must consider how exposure to treatments or interventions might bias ascertainment of outcomes, assessment of outcomes from routinely created records is often necessary. A Zelen design requires a waiver of the usual requirement for informed consent prior to random assignment of treatment. The Revised Common Rule includes specific criteria for such a waiver, and those criteria are most often met for evaluation of a low-risk and potentially beneficial intervention added to usual care. Investigators and Institutional Review Boards must also consider whether the scientific or public health benefit of a Zelen design trial outweighs the autonomy interests of potential participants. Analysis of Zelen trials compares outcomes according to original assignment, regardless of any refusal to accept or participate in the assigned treatment.
A Zelen design trial assesses the real-world consequences of a specific strategy to prompt or promote uptake of a specific treatment. While such trials are poorly suited to address explanatory or efficacy questions, they are often preferred for addressing pragmatic or policy questions.
1979 年,马文·泽伦(Marvin Zelen)提出了一种新的随机临床试验设计,旨在促进临床医生和患者的参与。泽伦提议的创新之处在于在患者或参与者同意之前对治疗进行随机分配。随机分组后,参与者将获得信息并被要求同意分配的治疗方法。
本叙述性综述检查了最近使用泽伦设计试验评估临床和公共卫生干预措施的例子。
泽伦设计经常应用于在不完全依从的情况下评估真实世界治疗或干预效果的问题。例如,评估外展或参与干预措施(特别是针对污名化的情况)、评估可能因参与者动机而受益的治疗方法,以及当分配到对照组或常规护理条件可能会引起失望效应的情况。具体的实际考虑因素决定了泽伦设计是否科学合理或可行。泽伦设计试验通常依赖于从现有记录中自动识别参与者,而不是通过广告、推荐或主动招募。基线或预后特征的评估通常依赖于现有记录数据,而不是特定于研究的评估。由于研究者必须考虑暴露于治疗或干预措施如何可能影响结果的确定,因此通常需要对常规记录中的结果进行评估。泽伦设计要求在对治疗进行随机分配之前豁免通常需要的知情同意。《修订后的通用规则》包括对此类豁免的具体标准,对于添加到常规护理中的低风险和潜在有益的干预措施的评估,这些标准通常得到满足。研究者和机构审查委员会还必须考虑泽伦设计试验的科学或公共卫生效益是否超过潜在参与者的自主权利益。泽伦试验的分析根据原始分配比较结果,无论对指定治疗方法的拒绝接受或参与如何。
泽伦设计试验评估了促使或促进特定治疗方法采用的具体策略的实际后果。虽然此类试验不太适合解决解释性或疗效问题,但它们通常更适合解决实际或政策问题。