- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06330740
Evaluations of CDS Systems
March 19, 2024 updated by: Anne Grauer, New York Presbyterian Hospital
Reducing Medication Ordering Errors Through Indications-Based Prescribing
Indications-based prescribing is a medication ordering system in which a clinician selects an indication, and then the electronic health record (EHR) suggests an appropriate medication regimen.
This approach was shown to significantly decrease medication ordering errors in a prototype environment.
However, the effect of indications-based prescribing on preventing ordering errors has not been rigorously evaluated in a real-world healthcare setting.
Antibiotics are the medication class most likely to contain ordering errors, which can lead to significant patient harm.
At NewYork-Presbyterian (NYP) a robust antimicrobial indication-based order set was developed to help clinicians identify the appropriate antibiotic, dose, frequency, and duration, based on type of infection and patient-specific characteristics, but it is not widely used.
The investigators propose a randomized controlled trial to assess the effectiveness of this indications-based order set for reducing antimicrobial ordering errors.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
2000
Phase
- Not Applicable
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
All providers placing inpatient orders on adult patients.
Exclusion Criteria:
Providers placing orders on patients who were ordered for antibiotics >24 hours in the past 72 hours and/or patients with positive cultures during that admission, and/or placing an order from the order set.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Intervention Arm
|
Upon ordering antibiotics the provider will be prompted to utilize an indication-based order set which guides the clinician to the appropriate empiric antibiotic choice.
|
No Intervention: Control Arm
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The combined rate of Wrong Drug, Wrong Duration, Wrong Dose and Wrong Frequency Retract-And-Reorder (RAR) events will be combined to create an overall rate of near-miss ordering errors in the control and intervention arm.
Time Frame: Up to 18 months
|
Novel Health IT measures which utilize provider ordering patterns to capture near-miss ordering errors.
|
Up to 18 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
March 1, 2024
Primary Completion (Estimated)
September 1, 2025
Study Completion (Estimated)
December 1, 2025
Study Registration Dates
First Submitted
December 28, 2023
First Submitted That Met QC Criteria
March 19, 2024
First Posted (Actual)
March 26, 2024
Study Record Updates
Last Update Posted (Actual)
March 26, 2024
Last Update Submitted That Met QC Criteria
March 19, 2024
Last Verified
March 1, 2024
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- AAAU3416
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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