进行集群随机试验时的实践和方法挑战:例子和建议
Agnès Caille1, Laurent Billot2, Jessica Kasza3
1Université de Tours, Université de Nantes, INSERM, SPHERE U1246, Tours, France; INSERM CIC 1415, CHRU de Tours, Tours, France.
Journal of epidemiology and population health
|March 13, 2024
概括
集群随机试验 (CRT) 和其变体越来越多地用于复杂的干预. 这篇文章强调了常见的实施挑战,并提出了有效执行这些务实的研究设计的实际建议.
科学领域:
- 临床试验方法论 临床试验方法论
- 公共卫生研究 公共卫生研究
- 干预科学 干预科学
背景情况:
- 集群随机试验 (CRT) 设计越来越多地被用于研究,特别是复杂的干预.
- 像集群随机交叉和阶段试验这样的变体提供了务实的方法.
- 这些设计提出了独特的实施挑战,这些挑战通常不会在个别随机试验中遇到.
研究的目的:
- 总结在进行集群随机试验 (CRT) 时遇到的常见挑战.
- 识别和讨论集群随机交叉和阶梯试验设计中的具体实施障碍.
- 提供可行的建议,以克服这些挑战在务实研究.
主要方法:
- 本文综合了从集群随机试验方法学领域的实践知识和常见问题.
- 它审查了关于CRT实施的文献和专家经验,集群随机交叉试验和阶段形试验.
- 重点是确定这些复杂的试验设计应用中的反复出现的挑战.
主要成果:
- 常见的挑战包括与招聘,数据收集,干预忠实性和聚类数据分析相关的问题.
- 在集群中管理随机化,盲目化和道德考虑时,出现了特定的困难.
- 阶梯和交叉设计在时间,周期效应和参与者流动方面引入了进一步的复杂性.
结论:
- 集群随机试验的成功实施需要仔细规划,以应对特定的设计挑战.
- 对于采用这些强大的设计的研究人员来说,主动战略和量身定制的建议是必不可少的.
- 解决这些常见障碍可以提高实用集群随机化研究的有效性和可行性.
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