一个随机化策略集群随机化受控试验与可变的手术室可用性
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在PubMed上查看摘要
概括
此摘要是机器生成的。这项研究通过分层操作室分配来优化诊断支气管镜试验. 一种新的随机化方法显著减少了患者分配失衡,改善了临床结果比较的资源分配.
科学领域
- 医学研究方法
- 肺病学
- 临床试验设计
背景情况
- 比较诊断支气管镜平台需要强大的试验设计.
- 在手术室 (OR) 和设备的资源限制可能会挑战患者的随机化.
- 集群随机对照试验 (cRCT) 适合实用性比较,但需要谨慎的分配策略.
研究的目的
- 将两个诊断支气管镜方法 (A平台和B平台) 的临床结果进行比较.
- 根据资源限制,为集群随机对照试验 (cRCT) 制定和评估有效的随机化策略.
- 为了尽量减少两个平台之间的患者分配不平衡.
主要方法
- 一个单中心的,开放的,务实的,非劣势的cRCT被设计出来.
- 集群被定义为手术室 (OR) 日.
- 通过OR可用性分层的 permuted-block随机化方法进行模拟和评估分配平衡.
主要成果
- 根据OR可用性进行分层,与按工作日分层进行分层相比,显著降低了分配失衡 (平均失衡=0.006,SD=0.690).
- 拟议的方法有效地减少了A平台和B平台之间的患者招募差异.
- 该战略优化了有限的OR和支气管镜平台资源的分配.
结论
- 通过OR可用性分层的 permuted-block随机化方法是资源有限的cRCT的有效策略.
- 这种创新设计改善了诊断支气管镜试验中的患者分配的平衡.
- 这些发现支持优化资源分配和实用试验中可靠的临床结果比较.
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