Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

How the Cluster-randomized Trial "Works".

James C Hurley1,2

  • 1Rural Health Academic Center, Melbourne Medical School, University of Melbourne, Australia.

Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America
|July 2, 2019
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Are arms-based methods required to test the stable unit treatment value assumption (SUTVA) among Cochrane reviews of contagious infection prevention interventions?

Global epidemiology·2026
Same author

Which trial do we need? The Selective Digestive Decontamination Herd Effects Estimation Trial (SHEET) study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2026
Same author

Co-variation between blood stream infections with Candida species versus Pseudomonas aeruginosa, Staphylococcus aureus, and other isolates among 60 ICU patient cohorts.

Medical mycology·2026
Same author

Arms-Based Meta-Analysis of Microbiological Endpoints of 88 VAP Prevention Studies Using Antimicrobial Versus Non-Antimicrobial Strategies-Towards 'VAP-Zero'?

Antibiotics (Basel, Switzerland)·2026
Same author

Two Decades of BSAC Resistance Surveillance.

The Journal of antimicrobial chemotherapy·2025
Same author

Testing the Stable Unit Treatment Variance Assumption (SUTVA) Within Cochrane Reviews of Antimicrobial-Based Pneumonia Prevention Interventions Among Mechanically Ventilated Patients Using Caterpillar Plots.

Journal of clinical medicine·2025
Same journal

The balance between a new Antibiotic and Non-antibiotic Alternatives for the treatment and prevention of uncomplicated Urinary Tract Infections.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Understanding the Clone-Censor-Weight Method in Observational Studies of Antibiotic Duration.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Treatment of Progressive Multifocal Leukoencephalopathy with Third-Party Allogeneic BK Virus T Cells.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Protection Against Recurrent Typhoid Fever Conferred by a Prior Episode: Evidence from a Large Cohort Study in Dhaka, Bangladesh.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Pre-treatment Gut Microbiome Diversity and Function Linked to Cytotoxic and Natural Killer Cell Immune Responses after N-803 Treatment in People with HIV.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same journal

Reconsidering ambiguous language in infectious disease consult recommendations.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
See all related articles

Cluster-randomized trials (CRTs) help answer population-level infectious disease questions that individual patient randomized controlled trials (RCTs) cannot. Understanding the design and inference differences between CRTs and RCTs is crucial for accurate interpretation of infectious disease dynamics.

Area of Science:

  • Infectious Disease Epidemiology
  • Clinical Trial Design

Background:

  • Cluster-randomized trials (CRTs) are essential for studying interventions impacting population-level infectious disease dynamics.
  • Infectious disease physicians and infection control practitioners often require whole-of-population data.
  • CRTs differ conceptually from individual patient randomized controlled trials (RCTs) in design, analysis, and inference.

Purpose of the Study:

  • To highlight the unique capabilities of CRTs in infectious disease research.
  • To explain the fundamental design and analytical differences between CRTs and RCTs.
  • To illustrate these differences using examples of infection prevention interventions.

Main Methods:

  • Review of conceptual differences between CRTs and RCTs.
  • Illustration using recent CRTs of community and intensive care unit infection prevention interventions.
Keywords:
ICU decontamination interventionscluster randomized trialpopulation interventionsrandomized control trialselective digestive decontaminationstudy design

Related Experiment Videos

  • Comparison of findings from CRTs and RCTs on similar topics.
  • Main Results:

    • CRTs are suited for research questions concerning infectious disease dynamics at the population level.
    • Key differences exist in the design, analysis, and inference of CRTs versus RCTs.
    • Examples demonstrate how CRT and RCT results can differ for the same intervention.

    Conclusions:

    • CRTs provide unique insights into infectious disease transmission and intervention effectiveness at a population level.
    • A clear understanding of "peas in a pod" (individual vs. cluster) is vital for appropriate CRT application.
    • Careful consideration of trial design is necessary to accurately interpret infectious disease control strategies.