Evidence map›Paper›PMID 33598891›Full record

ArticleJournal of general internal medicine2021

Individual and Community Factors Associated with Naloxone Co-prescribing Among Long-term Opioid Patients: a Retrospective Analysis.

Bradley D Stein, Rosanna Smart, Christopher M Jones, Flora Sheng, David Powell, Mark Sorbero

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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  6. Price Sensitivity and Information Barriers to the Take-Up of Naloxone.American economic journal. Economic policy · 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

6 authors at 2 institutions in 1 country.

Bradley D SteinRAND Corporation, Pittsburgh, PA, USA. stein@rand.org.ORCID 0000-0003-1544-458X
Rosanna SmartRAND Corporation, Santa Monica, CA, USA.
Christopher M JonesCenters for Disease Control and Prevention, Atlanta, GA, USA.
Flora ShengRAND Corporation, Arlington, VA, USA.
David PowellRAND Corporation, Arlington, VA, USA.
Mark SorberoRAND Corporation, Pittsburgh, PA, USA.
RAND Corporation · USCenters for Disease Control and Prevention · US

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
CALIFORNIA CENTER FOR POPULATION TRAINING PROGRAMT32HD007545 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ, Megan M Sweeney · 2001 to 2026
$4.1M
The Opioid Crisis: The Effects and Unintended Consequences of State Policies on Opioid Analgesic PrescribingR01DA045055 · NIDA · RAND CORPORATION · PI STEIN, BRADLEY D · 2019 to 2022
$2.9M
State Naloxone Policies: Exploring Effects of Implementation on EMS and Community Bystander UseR21DA045950 · NIDA · RAND CORPORATION · PI SMART, ROSANNA · 2018 to 2019
$474k
ACL HHS R01CE002999CDC HHS R01CE02999NCIPC CDC HHS R01 CE002999NICHD NIH HHS P2C HD041022NICHD NIH HHS T32 HD007545NIDA NIH HHS P50 DA046351NIDA NIH HHS P50DA046351NIDA NIH HHS R01 DA045055NIDA NIH HHS R01DA045055NIDA NIH HHS R21 DA045950NIDA NIH HHS R21DA045950
6 · The paper itself

Abstract

backgroundNaloxone co-prescribing to individuals at increased opioid overdose risk is a key component of opioid overdose prevention efforts.

objectiveExamine naloxone co-prescribing in the general population and assess how co-prescribing varies by individual and community characteristics.

designRetrospective cross-sectional study. We conducted a multivariable logistic regression of 2017-2018 de-identified pharmacy claims representing 90% of all prescriptions filled at retail pharmacies in 50 states and the District of Columbia. PATIENTS: Individuals with opioid analgesic treatment episodes > 90 days MAIN MEASURES: Outcome was co-prescribed naloxone. Predictor variables included insurance type, primary prescriber specialty, receipt of concomitant benzodiazepines, high-dose opioid episode, county urbanicity, fatal overdose rates, poverty rates, and primary care health professional shortage areas. KEY

resultsNaloxone co-prescribing occurred in 2.3% of long-term opioid therapy episodes. Medicaid (aOR 1.87, 95%CI 1.84 to 1.90) and Medicare (aOR 1.48, 95%CI 1.46 to 1.51) episodes had higher odds of naloxone co-prescribing than commercial insurance episodes, while cash pay (aOR 0.77, 95%CI 0.74 to 0.80) and other insurance episodes (aOR 0.81, 95%CI 0.79 to 0.83) had lower odds. Odds of naloxone co-prescribing were higher among high-dose opioid episodes (aOR 3.19, 95%CI 3.15 to 3.23), when concomitant benzodiazepines were prescribed (aOR 1.12, 95%CI 1.10 to 1.14), and in counties with higher fatal overdose rates.

conclusionCo-prescription of naloxone represents a tangible clinical action that can be taken to help prevent opioid overdose deaths. However, despite recommendations to co-prescribe naloxone to patients at increased risk for opioid overdose, we found that co-prescribing rates remain low overall. States, insurers, and health systems should consider implementing strategies to facilitate increased co-prescribing of naloxone to at-risk individuals.

Indexed as

Analgesics, OpioidOpioid-Related DisordersAgedCross-Sectional StudiesHumansMedicareNaloxoneRetrospective StudiesUnited StatesAnalgesics, OpioidNaloxonenaloxoneopioidsoverdose preventionprescribing

Identifiers

PMID33598891
PMCPMC8481397
OpenAlexW3132149812

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.