Mann Sean
RAND, 1776 Main St, Santa Monica, CA, 90401, USA.
Trials. 2024 Dec 18;25(1):833. doi: 10.1186/s13063-024-08675-9.
Pragmatic clinical trials evaluate the effectiveness of health interventions in real-world settings. Negative spillover can arise in a pragmatic trial if the study intervention affects how scarce resources are allocated across patients in the intervention and comparison groups.
Negative spillover can lead to overestimation of treatment effect and harm to patients assigned to usual care in trials of diverse health interventions. While this type of spillover has been addressed in trials of social welfare and public health interventions, there is little recognition of this source of bias in the medical literature. In this commentary, I examine what causes negative spillover and how it may have led clinical trial investigators to overestimate the effect of patient navigation, AI-based physiological alarms, and elective induction of labor. Trials discussed here are a convenience sample and not the result of a systematic review. I also suggest ways to detect negative spillover and design trials that avoid this potential source of bias.
As new clinical practices and technologies that affect care delivery are considered for widespread adoption, well-designed trials are needed to provide valid evidence on their risks and benefits. Understanding all sources of bias that could affect these trials, including negative spillover, is a critical part of this effort. Future guidance on clinical trial design should consider addressing this form of spillover, just as current guidance often discusses bias due to lack of blinding, differential attrition, or contamination.
实用性临床试验评估健康干预措施在现实环境中的有效性。如果研究干预措施影响了稀缺资源在干预组和对照组患者之间的分配方式,那么在实用性试验中可能会出现负面溢出效应。
负面溢出效应可能导致治疗效果的高估,并对不同健康干预措施试验中接受常规治疗的患者造成伤害。虽然这种溢出效应在社会福利和公共卫生干预措施的试验中已经得到解决,但医学文献中对这种偏差来源的认识却很少。在这篇评论中,我探讨了导致负面溢出效应的原因,以及它可能如何导致临床试验研究人员高估患者导航、基于人工智能的生理警报和择期引产的效果。这里讨论的试验是一个便利样本,并非系统评价的结果。我还提出了检测负面溢出效应的方法,以及设计避免这种潜在偏差来源的试验的方法。
随着影响医疗服务提供的新临床实践和技术被考虑广泛采用,需要精心设计的试验来提供关于其风险和益处的有效证据。了解所有可能影响这些试验的偏差来源,包括负面溢出效应,是这项工作的关键部分。未来关于临床试验设计的指南应考虑解决这种形式的溢出效应,就像当前的指南经常讨论由于缺乏盲法、差异失访或污染导致的偏差一样。