An Opioid Prescribing Nudge

NCT04069403 | Completed

• 1 other identifier: Pro00102219
• Study Type: interventional
• Target: 427
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

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

Keywords

Opioids; Prescription; Patterns; Nudge; Practices

Outcome Measures

Primary Outcomes (4)

• Change in Opioid prescribing habits

  Using baseline concurrent opioid prescribing metrics obtained (at the individual prescriber level) during their initial month and month prior in the Duke Health System, measure changes in Opioid n prescription orders as measured by provider prescriptions

  Baseline, 6 Months

• number of prescriptions with concurrent benzo within reporting period

  Identify the number of prescriptions with concurrent benzo over 6 months

  6 Months

• number of prescriptions with concurrent muscle relaxants within reporting period

  Identify the number of prescriptions with concurrent muscle relaxants over 6 months

  6 Months

• number of encounters with naloxone prescriptions for patients with any opioid-related diagnosis within reporting period

  Identify the number of encounters with naloxone prescriptions for patients with any opioid-related diagnosis over 6 months

  6 Months

Study Arms (2)

Intervention Arm- Automated Reports

EXPERIMENTAL

Receives automated reports on prescription patterns monthly

Other: Automated Reports on prescription patterns for their patients

Control Arm: Usual clinical education and feedback

NO INTERVENTION

Receive no reports

Interventions

Automated Reports on prescription patterns for their patients OTHER

de-identified aggregate reports

Also known as: de-identified reports, prescribers' prescribing patterns

Intervention Arm- Automated Reports

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

• Providers not identified above

Sponsors & Collaborators

• Duke University: lead

Study Sites (1)

Duke University Medical Center

Durham, North Carolina, 27705, United States

Location

MeSH Terms

Conditions

Substance-Related Disorders; Health Behavior

Condition Hierarchy (Ancestors)

Chemically-Induced Disorders; Mental Disorders; Behavior

Study Officials

• Charlene Wong, MD

  Duke University

  PRINCIPAL INVESTIGATOR

• Charles Scales, MD

  Duke University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: 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 or 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.

Study Record Dates

• First Submitted: August 23, 2019
• First Posted: August 28, 2019
• Study Start: September 10, 2019
• Primary Completion: June 15, 2020
• Study Completion: June 15, 2020
• Last Updated: June 30, 2020

Record last verified: 2020-04

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)