Machine Learning Prediction of Possible Central Line Associated Blood Stream Infections and Rate of Reduction
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorSwedish Medical Center
About this trial
Prospective, multi-center, cluster-randomized trial of a hospital Infection Preventionist (IP)-led quality improvement study to provide clinical teams with just-in-time clinical education and reinforcement of existing best practices recommendations based on the output of a possible Central Line Associated Blood Stream Infection (CLABSI) Machine Learning (ML) prediction model.
The objective is to determine whether providing this model to Infection Preventionists will decrease the CLABSI rates versus routine clinical practice.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
The top twenty Providence St. Joseph Health Hospitals by CLABSI burden.
Disqualifiers
Less than 18 years of age
Trial design
Design model
Parallel
Treatments tested in this trial
Infection Preventionist Led Best Practices Reminders
BehavioralInfection preventionists at each study hospital review a dashboard on a daily basis that contains predictions for the infection preventionist's hospital. If a patient is predicted to have a possible CLABSI by the ML model, the infection preventionist reviews the case and recommends next steps to the care team based on Providence's CLABSI prevention best-practices bundle, which include reviewing the line for necessity and recommending alternate IV access when appropriate. If line-removal isn't possible, the infection preventionist collaborates with the direct care team to ensure that the line maintenance best practices are observed, including maintaining a clean, dry and intact dressing and using daily chlorhexidine baths.
Treatment groups
17,800 Participants
are divided into 2 treatment groupsGroup A: Hospitals receiving "EARLY" access to the prediction model.Experimental treatment 1 intervention
Group B: Hospitals receiving "LATE" access to the prediction model.No intervention 0 interventions
Trial outcomes
Primary outcomes
1
CLABSI Rate
Rate of CLABSIs (CLABSI Event Per Central Line Days)
Time frame
Day 1 of Hospitalization thru DischargeSecondary outcomes
1
CLABSI Rate expressed as SIR
Overall CLABSI rate expressed in Standardized Incident Ratio (SIR), using the National Healthcare Safety Network (NSHN) methodology
Time frame
Day 1 of Hospitalization thru Discharge2
Possible CLABSI Rate
Possible CLABSI rate, where "possible CLABSI" is defined as positive blood culture in the patient who has had a central line in place for greater than 48 hours.
Time frame
Day 1 of Hospitalization thru Discharge3
Central Line Days
Number of Central Line Days
Time frame
Day 1 of Hospitalization thru Discharge4
Infection preventionist documentation of patient review
A process measure of model implementation, the frequency of infection preventionist intervention documentation after prediction model firing.
Time frame
Day 1 of Hospitalization thru DischargeSponsors and contacts
Click on the lead sponsor to view all of their trials.
Swedish Medical Center
Lead sponsor
Providence Health & Services
Collaborator
Source ClinicalTrials.gov