Objective: Previously published studies indicate that a pre-populated default quantity may decrease opioid amounts on discharge prescriptions from the emergency department (ED). However, the longitudinal effect of defaulted quantities has not been described in the literature.
Methods: A retrospective review of electronic health record data from visits to 4 hospital EDs in a community health system examined opioid prescription dispense quantities 3.5 years pre- and 6.5 years post-implementation of a defaulted dispense quantity of seventeen. The primary purpose was to determine the percentage of ED discharge opioid prescriptions containing the prepopulated default dispense quantity after implementation. The longitudinal effect of a default quantity implementation on the average quantity prescribed (normalized per 1000 visits) was examined by comparing the pre-implementation period (January 1, 2009-July 31, 2012) to the post-implementation period (August 1, 2012-June 30, 2018).
Results: After implementation in 2012, the acceptance rate of the default dispense quantity increased each year, up to 48% in 2016 and maintained through 2018. A significant decrease in prescribed opioid quantities post-default quantity implementation was sustained, with the average quantity prescribed from 2015-2018 maintained at 17 or lower.
Conclusion: A pre-populated default quantity impacts discharge opioid prescribing as evidenced by a high sustained rate of prescriber utilization over years and reduction in the per prescription average pill quantity. The acceptance of a pre-populated default quantity may allow for selection of even a lower quantity to influence prescribing patterns of opioid analgesics.
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http://dx.doi.org/10.1002/emp2.12337 | DOI Listing |
Regul Toxicol Pharmacol
December 2024
Medtronic Plc, Jacksonville, FL, USA.
Chemical characterization of medical devices uses the analytical evaluation threshold (AET) to determine reportable organic extractables, as these chemicals may be of toxicological concern and should be addressed via toxicological risk assessment. The AET is not applicable to metal extractables due to the exclusion of toxicity data on inorganics from the dataset used to derive dose-based threshold (DBT) values. This results in minimal guidance for reporting metal extractables.
View Article and Find Full Text PDFSports Med Open
October 2024
Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Background: Aging results in changes in resting state functional connectivity within key networks associated with cognition. Cardiovascular function, physical activity, sleep, and body composition may influence these age-related changes in the brain. Better understanding these associations may help clarify mechanisms related to brain aging and guide interventional strategies to reduce these changes.
View Article and Find Full Text PDFEpidemiology
November 2024
From the University of California, Berkeley, Berkeley, CA.
The Causal Roadmap outlines a systematic approach to asking and answering questions of cause and effect: define the quantity of interest, evaluate needed assumptions, conduct statistical estimation, and carefully interpret results. To protect research integrity, it is essential that the algorithm for statistical estimation and inference be prespecified prior to conducting any effectiveness analyses. However, it is often unclear which algorithm will perform optimally for the real-data application.
View Article and Find Full Text PDFWest J Emerg Med
July 2024
University of California San Francisco, Department of Emergency Medicine, San Francisco, California.
Introduction: The opioid epidemic is a major cause of morbidity and mortality in the United States. Prior work has shown that emergency department (ED) opioid prescribing can increase the incidence of opioid use disorder in a dose-dependent manner, and systemic changes that decrease default quantity of discharge opioid tablets in the electronic health record (EHR) can impact prescribing practices. However, ED leadership may be interested in the impact of communication around the intervention as well as whether the intervention may differentially impact different types of clinicians (physicians, physician assistants [PA], and nurse practitioners).
View Article and Find Full Text PDFPLoS One
June 2024
Academic Affairs, Hartford Healthcare, Hartford, Connecticut, United States of America.
Background: In 2017, a university-based academic healthcare system changed the opioid default pill count from 30 to 12 pills. Modifying the electronic default pill count influences short-term clinician prescribing practices. We sought to understand the long-term impact on postoperative opioid prescribing habits after an opioid default pill count reduction.
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