Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
RECRUITING
NA
2800 participants
INTERVENTIONAL
2024-11-12
2027-04-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
To address the problem of inappropriate antibiotic use, hospital-based antimicrobial stewardship programs (ASPs) are now common nationwide, and these programs have demonstrated effectiveness in some hospital settings. Unfortunately, traditional ASP approaches do not translate well to the fast-paced and unpredictable ED environment, and hospital-based ASP resources are finite and not always immediately available.
Clinical decision support (CDS) embedded within the electronic health record (EHR) is a strategy that could address the ED antibiotic stewardship gap. Informed by a deep understanding of the key facilitators and barriers to using CDS to support appropriate antibiotic use in ED and hospital settings, the investigators have developed two stewardship-focused CDS interventions for pediatric LRTI. The overarching goal of this research is to rigorously evaluate the implementation and effectiveness of these CDS tools, alone and in combination, against usual care only in a pragmatic randomized clinical trial at 3 U.S. children's hospitals.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Genetic Influences of Albuterol Response In Children With Bronchiolitis
NCT00570297
Promoting Safe Use of Children's Cough/Cold Medicines
NCT03126851
Assessing Response to Albuterol in Bronchiolitis
NCT01238445
Comparison of Supportive Therapies for Symptom Relief From Pediatric Upper Respiratory Infections (URIs)
NCT01814293
BREATHE-Peds Pilot - I Focus Group Interviews
NCT05137223
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
SEQUENTIAL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Usual Care: Emergency Department
No experimental decision support will be provided to the emergency medicine providers in encounters randomized to the control arm. All patients will receive usual care and treatment will not be restricted or altered in any way by the study.
No interventions assigned to this group
CDS-ED
The ED clinical decision support tool will be offered to emergency department providers in these enrolled encounters.
ED Clinical Decision Support (CDS-ED)
The ED-CDS intervention is designed as a discrete decision support aid to influence initial antibiotic decision-making in the ED. This intervention will feature a clinician-facing LRTI dashboard for end-users that assimilates relevant clinical data (e.g., vital signs, select diagnostic tests, links to reference information) and offers tailored suggestions for antibiotic initiation, related diagnostic testing, and in those receiving antibiotics, preferred options and alternatives for antibiotic choice, route, dose, and duration.
Usual Care: Inpatient
No experimental decision support will be provided to the inpatient/ICU providers in encounters randomized to the control arm. All patients will receive usual care and treatment will not be restricted or altered in any way by the study.
No interventions assigned to this group
CDS-Tr
The Transitions clinical decision support tool will be offered to inpatient/ICU providers in these enrolled encounters.
Transitions Clinical Decision Support (CDS-Tr)
The CDS-Tr intervention is designed as a longitudinal decision support aid to influence initial and ongoing (i.e., continuation, discontinuation, escalation, or de-escalation) antibiotic decision-making in the hospital setting. This intervention will also feature the LRTI dashboard along with additional tailored suggestions and recommendations for antibiotic decision-making upon hospital admission, and for those receiving antibiotics, at the time of discharge. Additionally, CDS-Tr will be active at the time of any service transition (i.e., hospital to intensive care or vice versa) and at pre-specified time points (e.g., approximately 48 hours and 120 hours following ED triage for encounters remaining in the hospital).
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
ED Clinical Decision Support (CDS-ED)
The ED-CDS intervention is designed as a discrete decision support aid to influence initial antibiotic decision-making in the ED. This intervention will feature a clinician-facing LRTI dashboard for end-users that assimilates relevant clinical data (e.g., vital signs, select diagnostic tests, links to reference information) and offers tailored suggestions for antibiotic initiation, related diagnostic testing, and in those receiving antibiotics, preferred options and alternatives for antibiotic choice, route, dose, and duration.
Transitions Clinical Decision Support (CDS-Tr)
The CDS-Tr intervention is designed as a longitudinal decision support aid to influence initial and ongoing (i.e., continuation, discontinuation, escalation, or de-escalation) antibiotic decision-making in the hospital setting. This intervention will also feature the LRTI dashboard along with additional tailored suggestions and recommendations for antibiotic decision-making upon hospital admission, and for those receiving antibiotics, at the time of discharge. Additionally, CDS-Tr will be active at the time of any service transition (i.e., hospital to intensive care or vice versa) and at pre-specified time points (e.g., approximately 48 hours and 120 hours following ED triage for encounters remaining in the hospital).
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
2. EHR-based positive screen for suspected LRTI, defined as a qualifying chief complaint (e.g., cough, shortness of breath, etc.), plus triage documentation of abnormal respiratory effort and/or cough.
6 Months
17 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Agency for Healthcare Research and Quality (AHRQ)
FED
University of California, San Francisco
OTHER
Vanderbilt University Medical Center
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Derek Williams
Professor of Pediatrics
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Derek J Williams, MD, MPH
Role: PRINCIPAL_INVESTIGATOR
Vanderbilt University Medical Center
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Benioff Children's Hospital - Oakland
Oakland, California, United States
Benioff Children's Hospital - San Francisco
San Francisco, California, United States
Monroe Carell Jr Children's Hospital at Vanderbilt
Nashville, Tennessee, United States
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
240854
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.