Implementing Prescriber-Pharmacist Collaborative Care for Evidence-based Anticoagulant Use

March 9, 2026 updated by: Geoffrey Barnes, University of Michigan

The researchers hypothesize that existing-prescription notifications directed to pharmacists are more likely to lead to a prescription change than existing-prescription notifications directed to prescribers. Furthermore, the researchers hypothesize that the availability of a pharmacist referral option is associated with a higher rate of prescription changes for initial-prescription alerts that are directed to the prescriber at the time of initial-prescribing errors.

Findings from this project will establish a framework for implementing prescriber-pharmacist collaboration for high risk medications, including anticoagulants

Study Overview

Detailed Description

Please note that the 3rd and 4th outcome measures are conditional on the outcomes of the 1st and 2nd outcome measures respectively.

Please note that enrollment of 300 will provide sufficient power to study.

Study data was obtained through data downloads and not from individual participant interactions. Final data collection for all outcomes took place on Dec 15, 2024.

Study Type

Interventional

Enrollment (Actual)

306

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Michigan
      • Ann Arbor, Michigan, United States, 48109
        • University of Michigan

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Prescribers:

Inclusion Criteria:

  • Michigan Medicine provider with prescribing privileges
  • Providers in ambulatory care settings
  • Prescribe DOAC to patients 18 years and older

Exclusion Criteria:

  • Providers in inpatient settings
  • Providers who are members of the study team

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: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Factorial Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: New-prescription Alert / Existing-prescription notification to prescriber
An enhanced drug alert notification in the Michigan Medicine electronic health record (EHR) that is tailored to the specific type of inappropriate Direct Oral Anticoagulant (DOAC) use (e.g., dosing too high for renal dysfunction) and offers decision support to the prescriber to alter a newly prescribed DOAC prescription.
Prescriber receives a notification through the EHR indicating an existing DOAC prescription may not be appropriate (e.g. due to renal function change, new drug-drug interactions), and recommending a prescription update.
Experimental: New-prescription Alert w/ referral option/ Existing-prescription notification to prescriber
Prescriber receives a notification through the EHR indicating an existing DOAC prescription may not be appropriate (e.g. due to renal function change, new drug-drug interactions), and recommending a prescription update.
An enhanced drug alert notification in the EHR that is tailored to the specific type of inappropriate DOAC use (e.g., dosing too high for renal dysfunction) and offers decision support to the prescriber to alter new DOAC prescription. This alert will ALSO include an option for referral to the anticoagulation clinic pharmacist for assistance.
Experimental: New-prescription Alert/ Existing-prescription notification to pharmacist
An enhanced drug alert notification in the Michigan Medicine electronic health record (EHR) that is tailored to the specific type of inappropriate Direct Oral Anticoagulant (DOAC) use (e.g., dosing too high for renal dysfunction) and offers decision support to the prescriber to alter a newly prescribed DOAC prescription.
Pharmacist receives a notification through the EHR indicating an existing DOAC prescription may not be appropriate (e.g. due to renal function change, new drug-drug interactions), and recommending a prescription update.
Experimental: New-prescription Alert w/ referral option/ Existing-prescription notification to pharmacist
An enhanced drug alert notification in the EHR that is tailored to the specific type of inappropriate DOAC use (e.g., dosing too high for renal dysfunction) and offers decision support to the prescriber to alter new DOAC prescription. This alert will ALSO include an option for referral to the anticoagulation clinic pharmacist for assistance.
Pharmacist receives a notification through the EHR indicating an existing DOAC prescription may not be appropriate (e.g. due to renal function change, new drug-drug interactions), and recommending a prescription update.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The Number (Proportion) of Notifications (in the Existing-prescription Notification Conditions) That Are Addressed Within 7 Days.
Time Frame: Up to 7 days

Existing-prescription notification conditions = Prescriber notification & Pharmacist notification

The number of notifications (in the existing-prescription notification conditions) that are addressed within 7 days/ total number of notifications

Up to 7 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The Number (Proportion) of Alerts (in the Newly Prescribed DOAC Alert Conditions) That Are Addressed Within 7 Days.
Time Frame: Up to 7 days

Newly prescribed DOAC alert conditions= Medication alert & Medication alert + referral

Data reported represents the number of alerts (in the newly prescribed DOAC alert conditions) that are addressed within 7 days/ total number of alerts

Up to 7 days
Change in Effect Size for the Existing-prescription Notification Over Time
Time Frame: Month 0 to 19 months

Reported on at the institution level (not individual level). Existing-prescription notification conditions = Prescriber notification & Pharmacist notification

The number of notifications (in the existing-prescription notification conditions) that are addressed within 7 days/ total number of notifications, shown over multiple time periods.

This outcome measure analysis is based on the results of outcome #1.

Month 0 to 19 months
Change in Effect Size for the Initial Alert Over Time
Time Frame: Month 0 to 19 months

Reported on at the institution level (not individual level). Newly prescribed DOAC alert condition= Medication alert & Medication alert + referral

The number of new prescription alerts that are addressed within 7 days/ total number of alerts, shown over multiple time periods.

This outcome measure analysis is based on the results of outcome #2.

Month 0 to 19 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Specific Prescription Related Adverse Events in Participants' Patients
Time Frame: 30 days from alert or notification

Data was gathered from the patients of participants within 30 days of a notification being sent via post-hoc examination of electronic medical record data

Clinical adverse events assessed will include major 21 and clinically-relevant non-major bleeding (CRNMB)22 events, as defined by the International Society on Thrombosis and Haemostasis (ISTH), new or recurrent VTE events, and stroke or systemic arterial embolic events. Each of these events will be captured using health informatics tools (described below) and independently adjudicated by two expert clinicians (one pharmacist, one prescriber) who meet once in Y1 and twice in Y2 to adjudicate any potential adverse events. We will use two Michigan Medicine-developed health informatics tools, DataDirect and EMERSE,23 to identify adverse events and capture clinical data (e.g., notes, labs, imaging, procedure reports) for adjudication.

30 days from alert or notification

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Geoffrey Barnes, MD, University of Michigan

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the 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 (Actual)

August 1, 2022

Primary Completion (Actual)

December 15, 2024

Study Completion (Actual)

December 15, 2024

Study Registration Dates

First Submitted

April 6, 2022

First Submitted That Met QC Criteria

April 27, 2022

First Posted (Actual)

April 28, 2022

Study Record Updates

Last Update Posted (Actual)

March 30, 2026

Last Update Submitted That Met QC Criteria

March 9, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

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

product manufactured in and exported from the U.S.

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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