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.

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

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.

Clinical Trials on Safety Issues

Clinical Trials on Clinical Decision Support

3
Subscribe