PRescribing INterventions for Chronic Pain Via the Electronic Health Record Study - Opioid-Naive Population (PRINCE)

August 1, 2024 updated by: University of Minnesota
The objective of this research is to assess the effects of electronic health record (EHR)-based decision support tools on primary care provider (PCP) decision-making around pain treatment and opioid prescribing. The decision support tools are informed by principles of "behavioral economics," whereby clinicians are "nudged," though never forced, towards guideline-concordant care.

Study Overview

Detailed Description

To test the effects of these decision support tools for improving the quality of care for pain treatment, the investigators will implement a pragmatic clinic-randomized trial across the primary care clinics of Fairview Medical Group and University of Minnesota Physicians.

The study has two parallel components. The decision support tools to be tested will differ somewhat depending on whether a given patient is opioid-naïve, or whether a given patient is a current opioid-user. Four sets of analyses will be conducted separately: one for the opioid-naïve group using EHR data, one for the current opioid-user group using EHR data, one at the PCP-level using web survey data, and one at the PCP-level using MN Prescription Drug Monitoring Program (PDMP) data.

Study Type

Interventional

Enrollment (Actual)

631

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

    • Minnesota
      • Minneapolis, Minnesota, United States, 55455
        • University of Minnesota

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

Inclusion Criteria:

- All primary care providers from all of the Fairview and University of Minnesota Physicians study clinics

Exclusion Criteria:

- Primary care providers who work less than 20% full time equivalent (FTE)

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: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Care as Usual
Clinics assigned to this arm will continue to care for the patients as usual in regards to opioid prescribing.
Experimental: Choice Architecture Nudge
Clinics in this arm will receive the choice architecture nudge intervention.
During the choice architecture nudge intervention, Primary Care Providers (PCPs) will be sent alerts in the Electronic Health Record (EHR) system when they initiate an opioid order for a patient who has not had an opioid prescription within the past six months. The alert provides guidance language about opioid prescribing and prompts the PCP to open the "SmartSet" to order non-opioid treatment alternatives. PCPs can choose to ignore this, but opening the SmartSet is the default option. When the SmartSet is opened, PCPs can choose to click on a variety of treatment order options, including both non-opioid pharmacological options and non-pharmacological options (e.g., referral to physical therapy or pain clinic).
Experimental: PMP Integration & Nudge
Clinics in this arm will receive the Prescription Drug Monitoring (PMP) Integration & Nudge intervention.
During the Prescription Drug Monitoring Program (PMP) integration & nudge intervention, Primary Care Providers (PCPs) will have integrated access to the PMP embedded within the EHR. All clinicians can already access the PMP to look up a patient's prior opioid prescriptions and prescription fills. However, this process involves signing in to the separate PMP website and can be complicated and time-consuming within typical clinical workflow. The integrated PMP tool makes it much easier and faster for a PCP to access the PMP information for a given patient.
Experimental: Choice Architecture Nudge + PMP Integration & Nudge
Clinics in this arm will receive both the choice architecture nudge and prescription drug monitoring (PMP) integration & nudge interventions.
During the Prescription Drug Monitoring Program (PMP) integration & nudge intervention, Primary Care Providers (PCPs) will have integrated access to the PMP embedded within the EHR. All clinicians can already access the PMP to look up a patient's prior opioid prescriptions and prescription fills. However, this process involves signing in to the separate PMP website and can be complicated and time-consuming within typical clinical workflow. The integrated PMP tool makes it much easier and faster for a PCP to access the PMP information for a given patient.
During the choice architecture nudge intervention, Primary Care Providers (PCPs) will be sent alerts in the Electronic Health Record (EHR) system when they initiate an opioid order for a patient who has not had an opioid prescription within the past six months. The alert provides guidance language about opioid prescribing and prompts the PCP to open the "SmartSet" to order non-opioid treatment alternatives. PCPs can choose to ignore this, but opening the SmartSet is the default option. When the SmartSet is opened, PCPs can choose to click on a variety of treatment order options, including both non-opioid pharmacological options and non-pharmacological options (e.g., referral to physical therapy or pain clinic).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Opioid Prescription Rate
Time Frame: 12 months
Outcome reported as the percent of Primary Care Appointments (PCAs) at each clinic during which an opioid is prescribed, without currently receiving a non-opioid alternative pain treatment (including a new order for a non-opioid pain treatment).
12 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rate of Non-Opioid Treatment Prescription
Time Frame: 12 months
Outcome reported as the percent of Primary Care Appointments (PCAs) at each clinic during which a CDC-recommended non-opioid treatment in ordered
12 months
Opioid Prescription Length
Time Frame: 12 months
Outcome reported as the mean length of opioid prescription (in days) given during Primary Care Appointments
12 months
Opioid Prescription MME
Time Frame: 12 months
Outcome reported as the mean Milligram Morphine Equivalents (MME) of opioid prescriptions given during Primary Care Appointments
12 months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Ezra Golberstein, PhD, University of Minnesota

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 26, 2020

Primary Completion (Actual)

October 1, 2021

Study Completion (Actual)

October 1, 2021

Study Registration Dates

First Submitted

October 19, 2020

First Submitted That Met QC Criteria

October 19, 2020

First Posted (Actual)

October 23, 2020

Study Record Updates

Last Update Posted (Actual)

August 26, 2024

Last Update Submitted That Met QC Criteria

August 1, 2024

Last Verified

August 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • STUDY00006522-2
  • R33DA046084 (U.S. NIH Grant/Contract)

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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