- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06271668
Clinical Decision Support to Improve System Naloxone Co-prescribing
February 27, 2024 updated by: University of Colorado, Denver
The objective of this study is to evaluate the impact of a clinical decision support (CDS) alert to facilitate the co-prescribing of naloxone, an opioid overdose reversal agent, with high-risk opioid prescriptions.
Prescribing naloxone with opioids is a best practice described in the 2022 US Center for Disease Control and Prevention (CDC) guidelines on opioid prescribing.
The CDS can improve quality of care delivered by improving compliance with the guideline defined best practices.
The project will compare CDS alert facilitated co-prescribing of naloxone with high-risk opioid prescriptions vs usual care to evaluate the effectiveness of the CDS alert for improving naloxone prescribing.
The patients are not assigned to an intervention and will be receiving any changes in care as part of their routine medical care, rather than a specific intervention that is distinct from their usual medical care.
The researchers hypothesize that the CDS alert will be acceptable to providers while increasing naloxone co-prescribing which will reduce the number of opioid overdoses in subsequent 6 months.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Detailed Description
Clinical decision support tools help clinicians make treatment decisions based on routinely collected data and offer a promising strategy to implement evidence-based practices for safe and effective pain management.
This project will use clinical decision support tools embedded into electronic health records to help healthcare providers make treatment decisions that align with opioid prescribing guidelines from the Centers for Disease Control and Prevention (CDC).
The project will also use information from prescription drug monitoring programs, insurance claims, and mortality data to evaluate patient outcomes.
This research will evaluate how prescribing practices that align with CDC guidelines affect patient outcomes and whether clinical decision support tools provide an advantage over standard care practices for pain management.
Study Type
Observational
Enrollment (Estimated)
200000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Heather Tolle, PhD
- Phone Number: 303-724-9924
- Email: heather.tolle@cuanschutz.edu
Study Locations
-
-
Colorado
-
Aurora, Colorado, United States, 80045
- University of Colorado Hospital
-
-
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
Yes
Sampling Method
Non-Probability Sample
Study Population
Residents and visitors to the state of Colorado who seek healthcare within the University of Colorado Health (UCHealth) system.
Description
Inclusion Criteria:
- Patients receiving an opioid prescription at discharge from inpatient/ED or close visit in outpatient settings where the clinical decision support (CDS) is implemented
Exclusion Criteria:
- Patients <12 and >89 year of age
- Cancer diagnosis
- Hospice care/palliative care
- Sickle cell disease diagnosis
- Patients who arrived in error
- Patients who were triaged to obstetrics
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
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Clinical Decision Support (CDS): Naloxone Alert
Encounters where the naloxone clinical decision support (CDS) alert fired. CDS logic is programmed to fire alert when a provider places and order for a high-risk opioid analgesic prescription to a patient without an active naloxone prescription. High-risk prescription logic to trigger the Naloxone CDS: [(NOT 1 AND (2 AND AT LEAST 1 OF (3, 4, 5, 6))) AND 7 AND NOT 8]
|
Clinical decision support in the form of an EHR-integrated, provider facing alert suggesting (a) the opioid medication order is considered high risk for overdose and (b) to nudge providers to add a naloxone prescription to the opioid prescription to mitigate risk in the event of an overdose.
|
Usual Care
Control group of contemporary encounters where clinical decision support (CDS) is not active.
Usual care.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Percentage of a high-risk opioid analgesic prescriptions receiving a co-prescription of naloxone
Time Frame: 18 months
|
The number of high-risk opioid encounters where a naloxone prescription was written with the opioid divided by the total number of encounters where a high-risk opioid prescription was written.
|
18 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Naloxone dispensed rate
Time Frame: In the 3 days after the naloxone prescription is written
|
The number of patients who were dispensed a naloxone prescription divided by the number of naloxone prescriptions written.
|
In the 3 days after the naloxone prescription is written
|
Clinical decision support (CDS) acceptance rate
Time Frame: 18 months
|
The number of times providers accepted the Clinical decision support (CDS) suggestion and co-prescribed naloxone with a high-risk opioid divided by the total number of times a high-risk opioid prescription triggered the CDS alert.
|
18 months
|
Subsequent opioid overdose/poisonings rates
Time Frame: Six months after an encounter where the naloxone clinical decision support fired for the provider
|
The number of patients who had a diagnosis of opioid overdose or poisoning in the six months following the index visit with a high-risk opioid prescribed.
|
Six months after an encounter where the naloxone clinical decision support fired for the provider
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Jason A Hoppe, DO, University of Colorado, Denver
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)
April 1, 2024
Primary Completion (Estimated)
March 1, 2026
Study Completion (Estimated)
September 1, 2026
Study Registration Dates
First Submitted
February 14, 2024
First Submitted That Met QC Criteria
February 14, 2024
First Posted (Actual)
February 22, 2024
Study Record Updates
Last Update Posted (Estimated)
February 29, 2024
Last Update Submitted That Met QC Criteria
February 27, 2024
Last Verified
February 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 23-2356
- R61DA057610 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
De-identified data utilized in this project will be housed on the National Institute on Drug Abuse (NIDA) Data Share Website.
IPD Sharing Time Frame
Data will be posted to the data share site after study results are published in peer-reviewed journals.
IPD Sharing Access Criteria
Prior to downloading study data the individual will have to register with the site and agree to a standard data use agreement.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
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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