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An Opioid Prescribing Nudge (OHS)

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Duke University

Status

Completed

Conditions

Prescription Drug Abuse (Not Dependent)
Prescription Drug Abuse and Dependency
Benzodiazepine Abuse
Benzodiazepine Dependent
Health Behavior
Opioid Use, Unspecified

Treatments

Other: Automated Reports on prescription patterns for their patients

Study type

Interventional

Funder types

Other

Identifiers

NCT04069403
Pro00102219

Details and patient eligibility

About

Analyze baseline concurrent opioid prescribing metrics at the individual prescriber level in the Duke Health System on the identified three main outcome measures.

Test the impact of reports on opioid prescriber behaviors with the following primary measures: number of prescriptions with concurrent benzo within reporting period, number of prescriptions with concurrent muscle relaxants within reporting period, and number of encounters with naloxone prescriptions for patients with any opioid-related diagnosis within reporting period.

Create a blueprint to implement the concurrent opioid prescribing nudge intervention in other settings.

Full description

The Concurrent Opioid Prescribing Nudge project intends to address multiple points within the opioid-use cycle through the development of standardized and scalable reporting mechanisms to provide social comparisons and feedback to physicians across the Duke Health System regarding their concurrent and co- opioid, benzodiazepines, and muscle relaxant prescribing practices. Concurrent are hereby defined as:

  • writing a new opioid prescription for a patient with a benzodiazepine prescription within the last 3 months,
  • writing a new benzodiazepine prescription for a patient with a opioid prescription within the last 3 months,
  • writing a new muscle relaxant prescription for a patient with an opioid prescription within the last 3 months,
  • writing a new opioid prescription for a patient with muscle relaxant prescription within the last 3 months, or
  • writing a new prescription for both an opioid and benzodiazepine or opioid and muscle relaxant.

The proposed project will leverage insights from behavioral economics to design informational and social incentives to reduce concurrent practices and mitigate opioid harm. Opioid prescribers (attending physicians, residents, and advanced practice providers) at participating departments and clinics in the Duke Health System will be randomized to a control or intervention arm. Over six month reporting periods beginning fall 2019, providers in the intervention arms will receive monthly reports with their individual prescribing patterns and comparison to peer prescribing patterns for the following measures: number of prescriptions with concurrent opioid active prescriptions of opioid/ benzodiazepines, number of prescriptions with concurrent opioid active prescriptions of opioid/muscle relaxants, and number of missed opportunities to prescribe naloxone to patients with any opioid-related diagnosis. The control arm will receive usual clinical education and feedback. Interventions will be implemented at participating departments and clinics utilizing a stepped-wedge timeline.

Enrollment

427 patients

Sex

All

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

The primary population of focus for this study is:

  • attending physicians
  • residents
  • advanced practice providers

hereby referred to as opioid prescribers in Duke University Health System and may include these departments and clinics:

  • Emergency Department
  • Neurology, Pain Management
  • Primary Care
  • Psychiatry, Sleep Disorder Clinic
  • Spine

All opioid prescribers in these settings will be identified in partnership with Duke University Health System.

Exclusion criteria

  • Providers not identified above

Trial design

Primary purpose

Health Services Research

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

427 participants in 2 patient groups

Intervention Arm- Automated Reports
Experimental group
Description:
Receives automated reports on prescription patterns monthly
Treatment:
Other: Automated Reports on prescription patterns for their patients
Control Arm: Usual clinical education and feedback
No Intervention group
Description:
Receive no reports

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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