Northwestern University
Chicago, Illinois, 60611, United States
NCT Number: NCT04758637
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.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Chicago, Illinois, 60611, United States
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Time frame: 13 months (6 months pre-intervention, 30-day washout period, 6 months post-intervention)
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.
Time frame: 13 months (6 months pre-intervention, 30-day washout period, 6 months post-intervention)
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.
University of Southern California
Other
Application of Economics & Social Psychology to Improve Opioid Prescribing Safety Trial 2 (AESOPS-2): Availability of Opioid Harm
Acronym: AESOPS-2
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