Evidence map›Paper›PMID 31996352›Full record

Observational studyBMJ (Clinical research ed.)2020

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

Mathew V Kiang, Keith Humphreys, Mark R Cullen, Sanjay Basu

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
13.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 93 citations in OpenAlex.

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  15. Diagnostic profiles associated with long-term opioid therapy in active duty servicemembers.PM & R : the journal of injury, function, and rehabilitation · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 2 countries.

Mathew V KiangCenter for Population Health Sciences, Stanford University School of Medicine, 1701 Page Mill Road, Palo Alto, CA 94304, USA mkiang@stanford.edu.ORCID 0000-0001-9198-150X
Keith HumphreysDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA.
Mark R CullenCenter for Population Health Sciences, Stanford University School of Medicine, 1701 Page Mill Road, Palo Alto, CA 94304, USA.
Sanjay BasuCenter for Primary Care, Harvard Medical School, Boston, MA, USA.
Harvard University · USStanford Health Care · USStanford University · USVA Palo Alto Health Care System · US

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Cohort filtering models to identify social program effects on health disparitiesDP2MD010478 · NIMHD · STANFORD UNIVERSITY · PI BASU, SANJAY · 2015 to 2015
$2.4M
NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR003142NIDA NIH HHS T32 DA035165NIMHD NIH HHS DP2 MD010478
6 · The paper itself

Abstract

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

designRetrospective, observational study.

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

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

main outcome measuresStandardized doses of opioids in morphine milligram equivalents (MMEs) and number of opioid prescriptions.

resultsIn 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.

conclusionsMost 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.

Indexed as

PhysiciansPractice Patterns, Physicians'AdultAnalgesics, OpioidDrug PrescriptionsFemaleHumansInappropriate PrescribingInsurance Claim ReviewMalePatient Care ManagementPrescription DrugsQuality ImprovementRetrospective StudiesUnited StatesAnalgesics, OpioidPrescription Drugs

Identifiers

PMID31996352
PMCPMC7190021
OpenAlexW3003947854

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.