Electronic Defaults to Reduce Opioid Prescribing in Emergency Department and Primary Care Settings

August 13, 2018 updated by: Marcus Bachhuber, Montefiore Medical Center

A Cluster-randomized Trial of Modifying Electronic Health Record Defaults to Reduce the Prescribed Quantity of Opioid Analgesics in Primary Care and Emergency Department Settings

The goal of this research is to investigate the impact of changing opioid analgesic prescribing defaults on the quantity of opioids prescribed for acute non-cancer pain in adult primary care and emergency department settings. We will change prescribing defaults for select short-acting opioid analgesics including immediate release oxycodone and hydrocodone as well as codeine and tramadol, including their co-formulations with acetaminophen. In a cluster-randomized trial of matched pairs of Montefiore Medical Center clinical sites, stratified by specialty and teaching status, we will evaluate the impact of this intervention on patient-level outcomes using 18 months of data (6 months pre-intervention and 12 months post-intervention).

Study Overview

Study Type

Interventional

Enrollment (Anticipated)

15000

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Clinical Site Inclusion Criteria:

  • Primary care clinic (internal medicine, family medicine, or urgent care) or emergency department within Montefiore Medical Center

Patient Inclusion Criteria:

  • Received a new opioid analgesic prescription, defined as no opioid analgesic prescription in the preceding 6 months

Patient Exclusion Criteria:

  • Cancer diagnosis code within the past 1 year

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: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Standard of care
The control condition will be the usual electronic health record interface. The default number of pills varies by medication, most medications currently have either a blank default or a default of 30 pills.
Experimental: Intervention
The intervention condition consists of a change to the electronic health record so that new opioid analgesic prescriptions automatically default to 10 pills (i.e., the "quantity dispensed" field is pre-populated). This value is modifiable by providers who can tailor the prescription based on clinical factors.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Initial prescription <= 10 pills (y/n)
Time Frame: Through study completion (18 months)
Extracted from the electronic medical record
Through study completion (18 months)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Initial prescription number of pills
Time Frame: Through study completion (18 months)
Extracted from the electronic medical record
Through study completion (18 months)
Initial prescription morphine milligram equivalents
Time Frame: Through study completion (18 months)
Extracted from the electronic medical record
Through study completion (18 months)
Opioid analgesic re-order (y/n)
Time Frame: Within 30 days after the initial prescription
Extracted from the electronic medical record
Within 30 days after the initial prescription
Total opioid analgesic pills prescribed, including re-orders
Time Frame: Within 30 days after the initial prescription
Extracted from the electronic medical record
Within 30 days after the initial prescription
Total morphine milligram equivalents prescribed, including re-orders
Time Frame: Within 30 days after the initial prescription
Extracted from the electronic medical record
Within 30 days after the initial prescription
Outpatient visits
Time Frame: Within 30 days after the initial prescription
Extracted from the electronic medical record
Within 30 days after the initial prescription
Emergency department visits
Time Frame: Within 30 days after the initial prescription
Extracted from the electronic medical record
Within 30 days after the initial prescription
Hospitalizations
Time Frame: Within 30 days after the initial prescription
Extracted from the electronic medical record
Within 30 days after the initial prescription

Collaborators and Investigators

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

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

December 1, 2016

Primary Completion (Actual)

July 13, 2018

Study Completion (Actual)

July 13, 2018

Study Registration Dates

First Submitted

December 6, 2016

First Submitted That Met QC Criteria

December 22, 2016

First Posted (Estimate)

December 28, 2016

Study Record Updates

Last Update Posted (Actual)

August 14, 2018

Last Update Submitted That Met QC Criteria

August 13, 2018

Last Verified

August 1, 2018

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

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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