Cluster Linkage Using Statistics to Trigger and Evaluate Response (CLUSTER) Trial for Outbreak Detection and Response
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 2,905,455
- 试验地点
- 82
- 主要终点
- Cluster Size
研究概览
简要总结
Despite the critical importance of identifying hospital-associated outbreaks as early as possible in order to limit their spread, there are currently no standardized methods for cluster detection. The CLUSTER Trial (Cluster Linkage Using Statistics to Trigger and Evaluate Response) will assess whether a statistically-based automated cluster detection method coupled with a robust response protocol will enable rapid containment of hospital clusters as measured by a reduction in cluster size and duration as compared to routine hospital cluster detection methods coupled with the same response protocol.
Note: that enrolled "subjects" represents 82 individual HCA Healthcare hospitals that have been randomized
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- None
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Facility Inclusion Criteria:
- •All U.S. HCA Healthcare hospitals that provide inpatient care.
- •Facilities that are reporting to the centralized data warehouse during the study period.
排除标准
- •Note: unit of randomization is the hospital.
研究组 & 干预措施
Routine cluster detection
Hospitals will use routine practices for cluster detection with a structured cluster response protocol when a cluster is detected.
干预措施: Routine cluster detection (Other)
Enhanced cluster detection
Hospitals will use an automated statistical cluster detection tool in addition to routine practices for cluster detection with a structured cluster response protocol when a cluster is detected.
干预措施: Enhanced cluster detection (Other)
结局指标
主要结局
Cluster Size
时间窗: 30 months
Cluster size defined as number of cases identified after the initial cluster signal through the last cluster case. NOTE: this outcome is intended for the primary manuscript.
次要结局
- Cluster Duration(30 months)
研究者
Richard Platt
Professor and Department Chair
Harvard Pilgrim Health Care
