Evaluations of CDS Systems
Reducing Medication Ordering Errors Through Indications-Based Prescribing
1 other identifier
interventional
2,000
0 countries
N/A
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2024
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
First Submitted
Initial submission to the registry
December 28, 2023
CompletedStudy Start
First participant enrolled
March 1, 2024
CompletedFirst Posted
Study publicly available on registry
March 26, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedMarch 26, 2024
March 1, 2024
1.5 years
December 28, 2023
March 19, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
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.
Novel Health IT measures which utilize provider ordering patterns to capture near-miss ordering errors.
Up to 18 months
Study Arms (2)
Intervention Arm
EXPERIMENTALControl Arm
NO INTERVENTIONInterventions
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.
Eligibility Criteria
You may qualify if:
- All providers placing inpatient orders on adult patients.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor of Clinical Medicine at CUIMC
Study Record Dates
First Submitted
December 28, 2023
First Posted
March 26, 2024
Study Start
March 1, 2024
Primary Completion
September 1, 2025
Study Completion
December 1, 2025
Last Updated
March 26, 2024
Record last verified: 2024-03
Data Sharing
- IPD Sharing
- Will not share