Evidence map›Paper›PMID 32293684›Full record

ArticleJAMA network open2020

Assessment of Potentially Inappropriate Prescribing of Opioid Analgesics Requiring Prior Opioid Tolerance.

Molly Moore Jeffery, Christine E Chaisson, Christopher Hane, Louis Rumanes, Jamie Tucker, Lillian Hang, Rozalina McCoy, Catherine L Chen, Mark C Bicket, W Michael Hooten and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

15 authors at 9 institutions in 1 country.

Molly Moore JefferyDivision of Health Care Policy Research, Mayo Clinic, Rochester, Minnesota.
Christine E ChaissonOptumLabs, Cambridge, Massachusetts.
Christopher HaneOptumLabs, Cambridge, Massachusetts.
Louis RumanesOptumLabs, Cambridge, Massachusetts.
Jamie TuckerOptumLabs, Cambridge, Massachusetts.
Lillian HangOptumLabs, Cambridge, Massachusetts.
Rozalina McCoyDivision of Health Care Policy Research, Mayo Clinic, Rochester, Minnesota.
Catherine L ChenDepartment of Anesthesia and Perioperative Care, University of California, San Francisco.
Mark C BicketDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
W Michael HootenDivision of Pain Medicine, Mayo Clinic, Rochester, Minnesota.
Marc LarochelleSection of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts.
William C BeckerVA Connecticut Healthcare System, West Haven.
Cynthia KornegayCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland.
Judith A RacoosinCenter for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland.
Darshak SanghaviPreviously with OptumLabs, Cambridge, Massachusetts.
Optum (United States) · USUnited States Food and Drug Administration · USBoston University · USJohns Hopkins Medicine · USMayo Clinic · USMayo Clinic in Florida · USUniversity of California, San Francisco · USVA Connecticut Healthcare System · USWinnMed · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale-Mayo FDA Center for Excellence in Regulatory Science and InnovationU01FD005938 · FDA · YALE UNIVERSITY · PI Joseph Solomon Ross · 2016 to 2026
$25.4M
VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
FDA HHS U01 FD005938NCATS NIH HHS UL1 TR001863NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

Importance: Opioid-tolerant only (OTO) medications, such as transmucosal immediate-release fentanyl products and certain extended-release opioid analgesics, require prior opioid tolerance for safe use, as patients without tolerance may be at increased risk of overdose. Studies using insurance claims have found that many patients initiating these medications do not appear to be opioid tolerant. Objectives: To measure prevalence of opioid tolerance in patients initiating OTO medications and to determine whether linked electronic health record (EHR) data contribute evidence of opioid tolerance not found in insurance claims data. Design, Setting, and Participants: This retrospective cohort study used a national database of deidentified longitudinal health information, including medical and pharmacy claims, insurance enrollment, and EHR data, from January 1, 2007, to December 31, 2016. Data included 131 756 US residents with at least 183 days of continuous enrollment in commercial or Medicare Advantage insurance (including medical and pharmacy benefits) who had received an OTO medication and who had no inpatient stays in the 30 days prior to starting an OTO medication; of these, 20 044 individuals had linked EHR data within the prior 183 days. Data were analyzed from July 1, 2017, to August 31, 2018. Exposures: Initiating an OTO medication. Main Outcomes and Measures: Prior opioid tolerance demonstrated through pharmacy fills or EHR data on prescriptions written. Results: Among 153 385 OTO use episodes identified, 89 029 (58.0%) occurred among women, 62 900 (41.0%) occurred among patients with Medicare Advantage insurance, 39 394 (25.7%) occurred in the Midwest, 17 366 (11.3%) occurred in the Northeast, 73 316 (47.8%) occurred in the South, and 23 309 (15.2%) occurred in the West. Less than half of use episodes (73 117 episodes [47.7%]) involved patients with evidence in claims data of opioid tolerance prior to initiating therapy with an OTO medication, including 31 392 of 101 676 episodes (30.9%) involving transdermal fentanyl, 1561 of 2440 episodes (64.0%) involving transmucosal fentanyl, 36 596 of 43 559 episodes (84.0%) involving extended-release oxycodone, and 3568 of 5710 episodes (62.5%) involving extended-release hydromorphone. Among 20 044 OTO use episodes with linked EHR and claims data, less than 1% of OTO episodes identified in claims had evidence of opioid tolerance in structured EHR data that was not present in claims data (108 episodes [0.5%]). After limiting the sample to OTO episodes identified in claims with a matching OTO prescription within 14 days in the structured EHR data, only 40 of 939 episodes (4.0%) occurred among patients with evidence of tolerance that was not present in claims data. Conclusions and Relevance: This cohort study found that most patients initiating OTO medications did not have evidence of prior opioid tolerance, suggesting they were at increased risk of opioid-related harms, including fatal overdose. Data from EHRs did not contribute substantial additional evidence of opioid tolerance beyond the data found in prescription claims. Future research is needed to understand the clinical rationale behind these observed prescribing patterns and to quantify the risk of harm to patients associated with potentially inappropriate prescribing.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAnalgesics, OpioidChildChild, PreschoolChronic PainCohort StudiesDelayed-Action PreparationsDrug OverdoseDrug ToleranceFemaleHumansInappropriate PrescribingAnalgesics, OpioidDelayed-Action Preparations

Identifiers

PMID32293684
PMCPMC7160686
OpenAlexW3015844292

What OpenQuestion holds

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Registered trials

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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.