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      Opioid prescribing patterns among medical providers in the United States, 2003-17: retrospective, observational study

      research-article
      1 , 2 , , 2 , 3 , 1 , 4 , 5 , 6
      The BMJ
      BMJ Publishing Group Ltd.

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          Abstract

          Objective

          To examine the distribution and patterns of opioid prescribing in the United States.

          Design

          Retrospective, observational study.

          Setting

          National private insurer covering all 50 US states and Washington DC.

          Participants

          An annual average of 669 495 providers prescribing 8.9 million opioid prescriptions to 3.9 million patients from 2003 through 2017.

          Main outcome measures

          Standardized doses of opioids in morphine milligram equivalents (MMEs) and number of opioid prescriptions.

          Results

          In 2017, the top 1% of providers accounted for 49% of all opioid doses and 27% of all opioid prescriptions. In absolute terms, the top 1% of providers prescribed an average of 748 000 MMEs—nearly 1000 times more than the middle 1%. At least half of all providers in the top 1% in one year were also in the top 1% in adjacent years. More than two fifths of all prescriptions written by the top 1% of providers were for more than 50 MMEs a day and over four fifths were for longer than seven days. In contrast, prescriptions written by the bottom 99% of providers were below these thresholds, with 86% of prescriptions for less than 50 MMEs a day and 71% for fewer than seven days. Providers prescribing high amounts of opioids and patients receiving high amounts of opioids persisted over time, with over half of both appearing in adjacent years.

          Conclusions

          Most prescriptions written by the majority of providers are under the recommended thresholds, suggesting that most US providers are careful in their prescribing. Interventions focusing on this group of providers are unlikely to effect beneficial change and could induce unnecessary burden. A large proportion of providers have established relationships with their patients over multiple years. Interventions to reduce inappropriate opioid prescribing should be focused on improving patient care, management of patients with complex pain, and reducing comorbidities rather than seeking to enforce a threshold for prescribing.

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          Most cited references40

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          • Abstract: found
          • Article: found

          The Prescription Opioid and Heroin Crisis: A Public Health Approach to an Epidemic of Addiction

          Annual Review of Public Health, 36(1), 559-574
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            • Record: found
            • Abstract: not found
            • Article: not found

            Measurement of Inequality of Incomes

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              • Record: found
              • Abstract: found
              • Article: not found

              Trends in Opioid Analgesic-Prescribing Rates by Specialty, U.S., 2007-2012.

              Opioid analgesic prescriptions are driving trends in drug overdoses, but little is known about prescribing patterns among medical specialties. We conducted this study to examine the opioid-prescribing patterns of the medical specialties over time.
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                Author and article information

                Contributors
                Role: postdoctoral research fellow
                Role: professor and senior research career scientist
                Role: professor
                Role: faculty and director and senior honorary research fellow
                Journal
                BMJ
                BMJ
                BMJ-US
                bmj
                The BMJ
                BMJ Publishing Group Ltd.
                0959-8138
                1756-1833
                2020
                29 January 2020
                : 368
                : l6968
                Affiliations
                [1 ]Center for Population Health Sciences, Stanford University School of Medicine, 1701 Page Mill Road, Palo Alto, CA 94304, USA
                [2 ]Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA
                [3 ]Palo Alto VA Health Care System, Palo Alto, CA, USA
                [4 ]Center for Primary Care, Harvard Medical School, Boston, MA, USA
                [5 ]Research and Analytics, Collective Health, San Francisco, CA, USA
                [6 ]School of Public Health, Imperial College, London, UK
                Author notes
                Correspondence to: M V Kiang mkiang@ 123456stanford.edu (or @mathewkiang on Twitter)
                Author information
                http://orcid.org/0000-0001-9198-150X
                Article
                kiam052040
                10.1136/bmj.l6968
                7190021
                31996352
                e1ada346-9648-4496-9e60-912fd883b68f
                © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 03 December 2019
                Categories
                Research
                1779

                Medicine
                Medicine

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