Early Warning System for Clinical Deterioration on General Hospital Wards
2 other identifiers
interventional
20,031
1 country
1
Brief Summary
The goal is to develop a two-tiered monitoring system to improve the care of patients at risk for clinical deterioration on general hospital wards (GHWs) at Barnes-Jewish Hospital (BJH). The investigators hypothesize that the use of an automated early warning system (EWS) that identifies patients at risk of clinical deterioration, with notification of nurses on the GHWs when patients are identified, will reduce the risk of ICU transfer or death within 24 hrs of an alert. As a substudy, the investigators will pilot the use of a wireless pulse oximeter to establish feasibility and to develop algorithms for a real-time event detection system (RDS) in these high-risk patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2011
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2011
CompletedFirst Submitted
Initial submission to the registry
January 19, 2011
CompletedFirst Posted
Study publicly available on registry
January 21, 2011
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2012
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2012
CompletedResults Posted
Study results publicly available
February 14, 2018
CompletedFebruary 14, 2018
February 1, 2018
1.3 years
January 19, 2011
May 27, 2014
February 7, 2018
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Transfer to ICU or Unexpected Death Within 24 Hrs of Identification by the EWS Algorithm
The proportion of patients transferred to ICU or death within 24 hrs of identification by the EWS algorithm for intervention and control wards.
Within 24 hrs of an EWS alert
Secondary Outcomes (1)
Clinical Outcomes and Process Measures
Hospital discharge
Study Arms (2)
Control
NO INTERVENTIONPatients admitted to 4 GHWs designated as controls. Nurses will not be notified when patients on these GHWs satisfy the EWS algorithm. They will also not wear the wireless sensor devices.
Nurse notification of EWS alert
EXPERIMENTALPatients admitted to 4 GHWs designated as intervention wards at BJH. Nurses will be notified when patients on these wards satisfy the EWS algorithm. Some patients will be asked to wear the wireless remote sensors.
Interventions
An automated algorithm (EWS) will identify patients at potential risk of clinical deterioration. When a patient satisfies the algorithm, a nurse on the patient's ward will be notified. S/he will assess the patient and institute any interventions that are clinically required.
A subset of patients will be consented to wear a wireless sensor device which will monitor heart rate and level of oxygen in the blood.
Eligibility Criteria
You may qualify if:
- All patients age 18 and above, hospitalized in GHWs at Barnes Jewish Hospital.
You may not qualify if:
- Minors, patients younger than 18 years old.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Barnes Jewish Hospital
St Louis, Missouri, 63108, United States
Related Publications (1)
Bailey TC, Chen Y, Mao Y, Lu C, Hackmann G, Micek ST, Heard KM, Faulkner KM, Kollef MH. A trial of a real-time alert for clinical deterioration in patients hospitalized on general medical wards. J Hosp Med. 2013 May;8(5):236-42. doi: 10.1002/jhm.2009. Epub 2013 Feb 25.
PMID: 23440923RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Thomas C. Bailey, MD
- Organization
- Washington Univ Sch of Medicine
Study Officials
- PRINCIPAL INVESTIGATOR
Thomas C Bailey, MD
Washington University School of Medicine
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 19, 2011
First Posted
January 21, 2011
Study Start
January 1, 2011
Primary Completion
May 1, 2012
Study Completion
May 1, 2012
Last Updated
February 14, 2018
Results First Posted
February 14, 2018
Record last verified: 2018-02