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Enhanced Cluster Detection Methods for Outbreak Control (CLUSTER Trial)

N/A
Waitlist Available
Led By Richard Platt, MD, MS
Research Sponsored by Harvard Pilgrim Health Care
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Timeline
Screening 3 weeks
Treatment Varies
Follow Up 30 months
Awards & highlights
No Placebo-Only Group

Summary

This trial will assess whether an automated, statistically-based cluster detection method can help contain hospital clusters.

Who is the study for?
The CLUSTER Trial is for U.S. HCA Healthcare hospitals providing inpatient care and reporting to a centralized data warehouse during the study period. It's not specified which facilities can't participate, suggesting all eligible ones can join.
What is being tested?
This trial tests an automated statistical method for detecting hospital-associated outbreaks against routine methods. The goal is to see if this new approach helps contain outbreaks faster by reducing their size and duration.
What are the potential side effects?
Since this trial involves institutions rather than individuals, 'side effects' are not applicable in the traditional sense of medical interventions.

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~30 months
This trial's timeline: 3 weeks for screening, Varies for treatment, and 30 months for reporting.

Treatment Details

Study Objectives

Study objectives can provide a clearer picture of what you can expect from a treatment.
Primary study objectives
Cluster size
Secondary study objectives
Cluster duration
Other study objectives
Genetic relatedness of clusters of microbial isolates
Pathogen subgroup analysis

Awards & Highlights

No Placebo-Only Group
All patients enrolled in this study will receive some form of active treatment.

Trial Design

2Treatment groups
Active Control
Group I: Enhanced cluster detectionActive Control1 Intervention
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.
Group II: Routine cluster detectionActive Control1 Intervention
Hospitals will use routine practices for cluster detection with a structured cluster response protocol when a cluster is detected.

Find a Location

Who is running the clinical trial?

Centers for Disease Control and PreventionFED
892 Previous Clinical Trials
22,000,812 Total Patients Enrolled
Harvard School of Public Health (HSPH)OTHER
280 Previous Clinical Trials
14,121,518 Total Patients Enrolled
Hospital Corporation of America (HCA) HealthcareUNKNOWN
University of Massachusetts, AmherstOTHER
81 Previous Clinical Trials
468,068 Total Patients Enrolled
Cook County Health & Hospitals SystemOTHER
6 Previous Clinical Trials
4,768 Total Patients Enrolled
Duke UniversityOTHER
2,458 Previous Clinical Trials
2,969,367 Total Patients Enrolled
Rush UniversityOTHER
44 Previous Clinical Trials
387,852 Total Patients Enrolled
Harvard Pilgrim Health CareLead Sponsor
59 Previous Clinical Trials
24,985,991 Total Patients Enrolled
University of California, San FranciscoOTHER
2,591 Previous Clinical Trials
14,901,521 Total Patients Enrolled
Brigham and Women's HospitalOTHER
1,666 Previous Clinical Trials
11,843,384 Total Patients Enrolled

Media Library

Enhanced cluster detection Clinical Trial Eligibility Overview. Trial Name: NCT04053075 — N/A
Cluster Detection Research Study Groups: Enhanced cluster detection, Routine cluster detection
Cluster Detection Clinical Trial 2023: Enhanced cluster detection Highlights & Side Effects. Trial Name: NCT04053075 — N/A
Enhanced cluster detection 2023 Treatment Timeline for Medical Study. Trial Name: NCT04053075 — N/A
~0 spots leftby Dec 2024