Early Warning System for Clinical Deterioration on General Hospital Wards
Early Warning System for Clinical Deterioration on General Hospital Wards.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Missouri
-
Saint Louis, Missouri, United States, 63108
- Barnes Jewish Hospital
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- All patients age 18 and above, hospitalized in GHWs at Barnes Jewish Hospital.
Exclusion Criteria:
- Minors, patients younger than 18 years old.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
No Intervention: Control
Patients 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.
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|
|
Experimental: Nurse notification of EWS alert
Patients 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.
|
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.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Transfer to ICU or Unexpected Death Within 24 Hrs of Identification by the EWS Algorithm
Time Frame: Within 24 hrs of an EWS alert
|
The proportion of patients transferred to ICU or death within 24 hrs of identification by the EWS algorithm for intervention and control wards.
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Within 24 hrs of an EWS alert
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Clinical Outcomes and Process Measures
Time Frame: Hospital discharge
|
length of stay
|
Hospital discharge
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Thomas C Bailey, MD, Washington University School of Medicine
Publications and helpful links
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 10-0514
- 7322-01 (Other Grant/Funding Number: BJH Foundation/ICTS)
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