Evidence map›Paper›PMID 33482961›Full record

ArticleThe Permanente journal2020

Demographic, Clinical, and Prescribing Characteristics Associated with Future Opioid Use in an Opioid-Naive Population in an Integrated Health System.

David M Mosen, A Gabriela Rosales, Rajasekhara Mummadi, Weiming Hu, Neon Brooks

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in The Permanente journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Visual Analytics for Data-Driven Understanding of the Substance Use Disorder Epidemic.Inquiry : a journal of medical care organization, provision and financing
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

David M MosenKaiser Permanente Center for Health Research, Portland, OR.
A Gabriela RosalesKaiser Permanente Center for Health Research, Portland, OR.
Rajasekhara MummadiKaiser Permanente Northwest Quality Management and Systems, Portland, OR.
Weiming HuKaiser Permanente Center for Health Research, Portland, OR.
Neon BrooksKaiser Permanente Center for Health Research, Portland, OR.
Kaiser Permanente Center for Health Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth systems and prescribers need additional tools to reduce the risk of opioid dependence, abuse, and overdose. Identifying opioid-naive individuals who are at risk of opioid dependence could allow for the development of needed interventions.

methodsWe conducted a retrospective cohort analysis of 23,804 adults in an integrated health system who had received a first opioid prescription between 2010 and 2015. We compared the demographic, clinical, and prescribing characteristics of individuals who later received a third opioid dispense at least 27 days later, indicating long-term opioid use, with those who did not.

resultsThe strongest predictors of continued opioid use were an initial prescription dosage of 90 morphine milligram equivalence or more; prescription of extended-release opioids, rather than short-release; and being prescribed outside of a hospital setting. Patients with a third prescription were also more likely to be older than 45 years, white, and non-Hispanic and to have physical comorbidities or prior substance abuse or mental health diagnoses. DISCUSSION: Our findings are largely consistent with prior research but provide new insight into differences in continued opioid use by opioid type, prescribing location, ethnicity, and comorbidities. Together with previous research, our data support a pattern of higher opioid use among older adults but higher rates of diagnosed opioid abuse among younger adults.

conclusionsBy identifying population characteristics associated with continued opioid use following a first prescription, our data pave the way for quality improvement interventions that target individuals who are at higher risk of opioid dependence.

Indexed as

Delivery of Health Care, IntegratedOpioid-Related DisordersAgedAnalgesics, OpioidDemographyHumansPractice Patterns, Physicians'Retrospective StudiesAnalgesics, Opioid

Identifiers

PMID33482961
PMCPMC7849307
OpenAlexW3111282632

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.