Literature DB >> 28967517

Opioid Prescribing for Opioid-Naive Patients in Emergency Departments and Other Settings: Characteristics of Prescriptions and Association With Long-Term Use.

Molly Moore Jeffery1, W Michael Hooten2, Erik P Hess3, Ellen R Meara4, Joseph S Ross5, Henry J Henk6, Bjug Borgundvaag7, Nilay D Shah8, M Fernanda Bellolio3.   

Abstract

STUDY
OBJECTIVE: We explore the emergency department (ED) contribution to prescription opioid use for opioid-naive patients by comparing the guideline concordance of ED prescriptions with those attributed to other settings and the risk of patients' continuing long-term opioid use.
METHODS: We used analysis of administrative claims data (OptumLabs Data Warehouse 2009 to 2015) of opioid-naive privately insured and Medicare Advantage (aged and disabled) beneficiaries to compare characteristics of opioid prescriptions attributed to the ED with those attributed to other settings. Concordance with Centers for Disease Control and Prevention (CDC) guidelines and rate of progression to long-term opioid use are reported.
RESULTS: We identified 5.2 million opioid prescription fills that met inclusion criteria. Opioid prescriptions from the ED were more likely to adhere to CDC guidelines for dose, days' supply, and formulation than those attributed to non-ED settings. Disabled Medicare beneficiaries were the most likely to progress to long-term use, with 13.4% of their fills resulting in long-term use compared with 6.2% of aged Medicare and 1.8% of commercial beneficiaries' fills. Compared with patients in non-ED settings, commercial beneficiaries receiving opioid prescriptions in the ED were 46% less likely, aged Medicare patients 56% less likely, and disabled Medicare patients 58% less likely to progress to long-term opioid use.
CONCLUSION: Compared with non-ED settings, opioid prescriptions provided to opioid-naive patients in the ED were more likely to align with CDC recommendations. They were shorter, written for lower daily doses, and less likely to be for long-acting formulations. Prescriptions from the ED are associated with a lower risk of progression to long-term use.
Copyright © 2017 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2017        PMID: 28967517      PMCID: PMC6295192          DOI: 10.1016/j.annemergmed.2017.08.042

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  31 in total

1.  Opioid-Prescribing Patterns of Emergency Physicians and Risk of Long-Term Use.

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2.  Pharmaceutical overdose deaths, United States, 2010.

Authors:  Christopher M Jones; Karin A Mack; Leonard J Paulozzi
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3.  Association Between Initial Opioid Prescribing Patterns and Subsequent Long-Term Use Among Opioid-Naïve Patients: A Statewide Retrospective Cohort Study.

Authors:  Richard A Deyo; Sara E Hallvik; Christi Hildebran; Miguel Marino; Eve Dexter; Jessica M Irvine; Nicole O'Kane; Joshua Van Otterloo; Dagan A Wright; Gillian Leichtling; Lisa M Millet
Journal:  J Gen Intern Med       Date:  2016-08-02       Impact factor: 5.128

4.  Prescription opioid duration of action and the risk of unintentional overdose among patients receiving opioid therapy.

Authors:  Matthew Miller; Catherine W Barber; Sarah Leatherman; Jennifer Fonda; John A Hermos; Kelly Cho; David R Gagnon
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5.  Incidence and Risk Factors for Progression From Short-term to Episodic or Long-term Opioid Prescribing: A Population-Based Study.

Authors:  W Michael Hooten; Jennifer L St Sauver; Michaela E McGree; Debra J Jacobson; David O Warner
Journal:  Mayo Clin Proc       Date:  2015-07       Impact factor: 7.616

6.  Long-term analgesic use after low-risk surgery: a retrospective cohort study.

Authors:  Asim Alam; Tara Gomes; Hong Zheng; Muhammad M Mamdani; David N Juurlink; Chaim M Bell
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7.  De facto long-term opioid therapy for noncancer pain.

Authors:  Michael Von Korff; Michael Von Korff; Kathleen Saunders; Gary Thomas Ray; Denise Boudreau; Cynthia Campbell; Joseph Merrill; Mark D Sullivan; Carolyn M Rutter; Michael J Silverberg; Caleb Banta-Green; Constance Weisner
Journal:  Clin J Pain       Date:  2008 Jul-Aug       Impact factor: 3.442

8.  Optum Labs: building a novel node in the learning health care system.

Authors:  Paul J Wallace; Nilay D Shah; Taylor Dennen; Paul A Bleicher; Paul D Bleicher; William H Crown
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

9.  Interpreting the National Hospital Ambulatory Medical Care Survey: United States Emergency Department Opioid Prescribing, 2006-2010.

Authors:  Bory Kea; Rochelle Fu; Robert A Lowe; Benjamin C Sun
Journal:  Acad Emerg Med       Date:  2016-01-23       Impact factor: 3.451

10.  Potential misuse and inappropriate prescription practices involving opioid analgesics.

Authors:  Ying Liu; Joseph E Logan; Leonard J Paulozzi; Kun Zhang; Christopher M Jones
Journal:  Am J Manag Care       Date:  2013-08       Impact factor: 2.229

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  36 in total

1.  Conversion to Persistent or High-Risk Opioid Use After a New Prescription From the Emergency Department: Evidence From Washington Medicaid Beneficiaries.

Authors:  Zachary F Meisel; Nicoleta Lupulescu-Mann; Christina J Charlesworth; Hyunjee Kim; Benjamin C Sun
Journal:  Ann Emerg Med       Date:  2019-06-20       Impact factor: 5.721

2.  Opioid Prescribing Laws Are Not Associated with Short-term Declines in Prescription Opioid Distribution.

Authors:  Corey S Davis; Brian J Piper; Alex K Gertner; Jason S Rotter
Journal:  Pain Med       Date:  2020-03-01       Impact factor: 3.750

3.  Trends in Urine Drug Testing Among Long-term Opioid Users, 2012-2018.

Authors:  Shaden A Taha; Jordan R Westra; Mukaila A Raji; Yong F Kuo
Journal:  Am J Prev Med       Date:  2020-12-05       Impact factor: 5.043

4.  Opportunities for Prevention and Intervention of Opioid Overdose in the Emergency Department.

Authors:  Debra E Houry; Tamara M Haegerich; Alana Vivolo-Kantor
Journal:  Ann Emerg Med       Date:  2018-03-06       Impact factor: 5.721

5.  A Quality Framework for Emergency Department Treatment of Opioid Use Disorder.

Authors:  Elizabeth A Samuels; Gail D'Onofrio; Kristen Huntley; Scott Levin; Jeremiah D Schuur; Gavin Bart; Kathryn Hawk; Betty Tai; Cynthia I Campbell; Arjun K Venkatesh
Journal:  Ann Emerg Med       Date:  2018-10-11       Impact factor: 5.721

6.  National Variation in Opioid Prescribing and Risk of Prolonged Use for Opioid-Naive Patients Treated in the Emergency Department for Ankle Sprains.

Authors:  M Kit Delgado; Yanlan Huang; Zachary Meisel; Sean Hennessy; Michael Yokell; Daniel Polsky; Jeanmarie Perrone
Journal:  Ann Emerg Med       Date:  2018-07-24       Impact factor: 5.721

7.  Patterns of Opioid and Benzodiazepine Use in Opioid-Naïve Patients with Newly Diagnosed Low Back and Lower Extremity Pain.

Authors:  Tej D Azad; Yi Zhang; Martin N Stienen; Daniel Vail; Jason P Bentley; Allen L Ho; Paras Fatemi; Daniel Herrick; Lily H Kim; Austin Feng; Kunal Varshneya; Michael Jin; Anand Veeravagu; Jayanta Bhattacharya; Manisha Desai; Anna Lembke; John K Ratliff
Journal:  J Gen Intern Med       Date:  2019-11-12       Impact factor: 5.128

8.  Geographic Variation in the Initiation of Commonly Used Opioids and Dosage Strength in United States Nursing Homes.

Authors:  Jacob N Hunnicutt; Jonggyu Baek; Matthew Alcusky; Anne L Hume; Shao-Hsien Liu; Christine M Ulbricht; Jennifer Tjia; Kate L Lapane
Journal:  Med Care       Date:  2018-10       Impact factor: 2.983

9.  Identifying opioid prescribing patterns for high-volume prescribers via cluster analysis.

Authors:  Nisha Nataraj; Kun Zhang; Gery P Guy; Jan L Losby
Journal:  Drug Alcohol Depend       Date:  2019-02-16       Impact factor: 4.492

10.  Prescription and Prescriber Specialty Characteristics of Initial Opioid Prescriptions Associated with Chronic Use.

Authors:  Scott G Weiner; Shih-Chuan Chou; Cindy Y Chang; Chad Garner; Sanae El Ibrahimi; Sara Hallvik; Michelle Hendricks; Olesya Baker
Journal:  Pain Med       Date:  2020-12-25       Impact factor: 3.750

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