Electronic Defaults to Reduce Opioid Prescribing in Dentistry Practices
NCT ID: NCT03030469
Last Updated: 2018-08-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
10000 participants
INTERVENTIONAL
2016-12-31
2018-07-13
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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10-pill default
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.
Change in electronic health record default for new opioid analgesic prescriptions
5-pill default
New opioid analgesic prescriptions will automatically default to 5 pills.
Change in electronic health record default for new opioid analgesic prescriptions
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.
No interventions assigned to this group
Interventions
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Change in electronic health record default for new opioid analgesic prescriptions
Eligibility Criteria
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Inclusion Criteria
* Received a new opioid analgesic prescription, defined as no opioid analgesic prescription in the preceding 6 months
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Albert Einstein College of Medicine
OTHER
Montefiore Medical Center
OTHER
Responsible Party
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Marcus Bachhuber
Assistant Professor
Principal Investigators
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Marcus Bachhuber, MD
Role: PRINCIPAL_INVESTIGATOR
Montefiore Medical Center
References
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Bachhuber MA, Nash D, Southern WN, Heo M, Berger M, Schepis M, Sugarman OK, Cunningham CO. Reducing Opioid Analgesic Prescribing in Dentistry Through Prescribing Defaults: A Cluster-Randomized Controlled Trial. Pain Med. 2023 Jan 4;24(1):1-10. doi: 10.1093/pm/pnac106.
Other Identifiers
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2016-7373
Identifier Type: -
Identifier Source: org_study_id
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