Clinical Decision Support to Improve System Naloxone Co-prescribing
2 other identifiers
observational
200,000
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2024
1 active site
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
February 14, 2024
CompletedFirst Posted
Study publicly available on registry
February 22, 2024
CompletedStudy Start
First participant enrolled
July 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2026
CompletedDecember 10, 2025
December 1, 2025
1.3 years
February 14, 2024
December 8, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Percentage of a high-risk opioid analgesic prescriptions receiving a co-prescription of naloxone
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 Outcomes (3)
Clinical decision support (CDS) acceptance rate
18 months
Subsequent opioid overdose/poisonings rates
Six months after an encounter where the naloxone clinical decision support fired for the provider
Naloxone dispensed rate
In the 3 days after the naloxone prescription is written
Study Arms (2)
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: \[(NOT 1 AND (2 AND AT LEAST 1 OF (3, 4, 5, 6))) AND 7 AND NOT 8\] 1. ACTIVE OR PENDED NALOXONE PRESCRIPTION ORDER 2. OPIOID SCRIPT BEING PLACED CRITERIA 3. DAILY Milligram Morphine Equivalent (MME) \>=90 UNSIGNED ORDER 4. DAILY MME \>=90 EXISTING 5. DIAGNOSIS OF OPIOID USE DISORDER 6. DIAGNOSIS HISTORY OF OPIOID OVERDOSE 7. PROVIDER LOGGED INTO ELLIGIBLE DEPARTMENTS 8. DISCHARGE TO HOSPICE
Usual Care
Control group of contemporary encounters where clinical decision support (CDS) is not active. Usual care.
Interventions
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.
Eligibility Criteria
Residents and visitors to the state of Colorado who seek healthcare within the University of Colorado Health (UCHealth) system.
You may qualify if:
- Patients receiving an opioid prescription at discharge from inpatient/ED or close visit in outpatient settings where the clinical decision support (CDS) is implemented
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Colorado, Denverlead
- National Institute on Drug Abuse (NIDA)collaborator
- National Institutes of Health (NIH)collaborator
Study Sites (1)
University of Colorado Hospital
Aurora, Colorado, 80045, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jason A Hoppe, DO
University of Colorado, Denver
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 14, 2024
First Posted
February 22, 2024
Study Start
July 1, 2024
Primary Completion
October 31, 2025
Study Completion
April 1, 2026
Last Updated
December 10, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- Data will be provided to NAHDAP after study results are published in peer-reviewed journals.
- Access Criteria
- Prior to downloading study data, the individual will have to register with the site and agree to a standard data use agreement.
De-identified quantitative EHR data utilized in this project will be housed on the National Addiction and HIV Data Archive Program (NAHDAP) website.