NCT04053075

CLUSTER Trial for Outbreak Detection and Response

Cluster Linkage Using Statistics to Trigger and Evaluate Response (CLUSTER) Trial for Outbreak Detection and Response

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 2,905,455 (actual)
• Sponsor: Harvard Pilgrim Health Care · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

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

Conditions

• Cluster Detection

Interventions

Type	Name	Description
OTHER	Routine cluster detection	Hospitals will use routine practices for cluster detection with a structured cluster response protocol when a cluster is detected.
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.

Timeline

• Start date: 2019-07-23
• Primary completion: 2024-05-20
• Completion: 2024-05-20
• First posted: 2019-08-12
• Last updated: 2025-01-16
• Results posted: 2025-01-16

Locations

82 sites across 1 country: United States