- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04758637
AESOPS Trial 2 (AESOPS-2): Availability of Opioid Harm (AESOPS-2)
September 18, 2025 updated by: Jason Doctor, University of Southern California
Application of Economics & Social Psychology to Improve Opioid Prescribing Safety Trial 2 (AESOPS-2): Availability of Opioid Harm
The opioid epidemic is the largest man-made public health crisis the United States has faced.
The objective of Trial 2 of the Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS-2) study, is to discourage unnecessary opioid prescribing by increasing the salience of negative patient outcomes associated with opioid use.
Study Overview
Detailed Description
In AESOPS-2, a multi-site study, random assignment determines if prescribers to persons who suffer an opioid overdose (fatal or nonfatal) learn of this event (intervention) or practice usual-care (control).
The AESOPS-2 trial will take place in 3 diverse health systems in the U.S. - Northwestern Medicine, AltaMed Health Services, and The Children's Clinic.
At Northwestern Medicine, clinicians in the intervention group receive a letter notifying them of their patient's fatal or nonfatal ED overdose.
At AltaMed Health Services, and The Children's Clinic, clinicians in the intervention group receive a letter notifying them of their patient's nonfatal ED overdose.
The primary outcome is the change in clinician weekly milligram morphine equivalent (MME) dose prescribed in 6-month periods before and after receiving the letter.
The secondary outcome is the change in the proportion of patients prescribed at least 50 daily MME.
Group differences in these outcomes will be compared using an intent-to-treat difference-in-differences framework with a mixed-effects regression model to estimate clinician MME weekly dose.
The AESOPS-2 trial will provide new knowledge about whether increasing prescribers' awareness of patients' opioid-related overdoses leads to a reduction in opioid prescribing.
Additionally, this trial may better inform how to reduce opioid use disorder and opioid overdoses by lowering unnecessary population exposure to these drugs.
Study Type
Interventional
Enrollment (Actual)
61
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
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Illinois
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Chicago, Illinois, United States, 60611
- Northwestern University
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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
Description
Inclusion Criteria:
- 1) The clinician prescribed a qualifying scheduled drug to a patient in the 12 months prior to their non-fatal or fatal overdose 2) the patient is 18 years old or older at the time of the overdose, 3) the provider practices within a health system enrolled in the study, and 4) the overdose occurs during the 12-month observation period. Qualifying prescriptions include those for one of the following scheduled drugs: opioids, benzodiazepines, muscle relaxants or sedative-hypnotics.
Exclusion Criteria:
- Prescriptions to patients in hospice or with active cancer
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: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Control Group
Physicians in the control group will receive no notification of their patient's fatal or nonfatal overdose.
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Experimental: Overdose Notification Group
The overdose notifications will alert prescribers to the patient's opioid-related overdose, recommend the use of the state-level PDMP, and list evidence-based interventions to lower opioid-related overdoses.
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We will identify overdoses from state vital records and insurance claims data linked to emergency departments.
We will use electronic health record data to identify prescriptions of scheduled drug to patients who experienced a non-fatal or fatal overdose within the health system.
If randomized to the overdose notification group, physicians who prescribed the controlled substances to the deceased or surviving patient in the year prior to their overdose will be informed of the overdose via letter.
The letters will alert prescribers to the patient's opioid-related overdose, recommend the use of the state-level PDMP, and list evidence-based interventions to lower opioid-related overdoses.
The letters will increase the salience and availability of opioid-related harms, which may cause clinicians to be more wary of a future overdose when prescribing opioids, benzodiazepines, muscle relaxants, or sedative-hypnotics.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change in Daily Average Number of 5 MME Pill Counts
Time Frame: 13 months (6 months pre-intervention, 30-day washout period, 6 months post-intervention)
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The primary outcome is the change in daily average number of 5 morphine milligram equivalent (MME) pill counts ordered by clinicians during the last week of baseline (week 26) and the last week of the intervention period (week 53) letter intervention.
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13 months (6 months pre-intervention, 30-day washout period, 6 months post-intervention)
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change in Clinician-level, Pre-to-post Mean Proportion of High Dose (=> 50 MME) Patient Visits
Time Frame: 13 months (6 months pre-intervention, 30-day washout period, 6 months post-intervention)
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The change in the clinician-level, pre-to-post mean proportion of high dose (=> 50 MME) patient visits by study arm.
The numerator is whether a patient visit was => 50 MME, and the denominator is the number of opioids.
We quantified this measure using logistic regression.
Higher dose prescriptions are not recommended and are associated with the potential for greater patient harm.
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13 months (6 months pre-intervention, 30-day washout period, 6 months post-intervention)
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Jason Doctor, PhD, University of Southern California
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 (Actual)
January 23, 2023
Primary Completion (Actual)
March 18, 2024
Study Completion (Actual)
March 18, 2024
Study Registration Dates
First Submitted
February 12, 2021
First Submitted That Met QC Criteria
February 12, 2021
First Posted (Actual)
February 17, 2021
Study Record Updates
Last Update Posted (Estimated)
October 7, 2025
Last Update Submitted That Met QC Criteria
September 18, 2025
Last Verified
September 1, 2025
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- UP-20-01330
- R33AG057395 (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
product manufactured in and exported from the U.S.
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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