Evidence map›Paper›PMID 29303393›Full record

ArticleSubstance use & misuse2018

High-Risk Prescribing to Medicaid Enrollees Receiving Opioid Analgesics: Individual- and County-Level Factors.

Sara E Heins, Mark J Sorbero, Christopher M Jones, Andrew W Dick, Bradley D Stein

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Substance use & misuse, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.8field-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

20 citing papers in PubMed, 32 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

5 authors at 3 institutions in 1 country.

Sara E Heinsa RAND Corporation , Pittsburgh , Pennsylvania , USA.
Mark J Sorberoa RAND Corporation , Pittsburgh , Pennsylvania , USA.
Christopher M Jonesc Office of the Assistant Secretary for Planning and Evaluation, U.S. Department of Health and Human Services , Washington , DC , USA.
Andrew W Dicka RAND Corporation , Pittsburgh , Pennsylvania , USA.
Bradley D Steina RAND Corporation , Pittsburgh , Pennsylvania , USA.
RAND Corporation · USJohns Hopkins University · USOffice of the Assistant Secretary for Planning and Evaluation · US

Funding

Opioid Agonist Treatment Expansion in Medicaid: The Role of BuprenorphineR01DA032881 · NIDA · RAND CORPORATION · PI STEIN, BRADLEY D · 2012 to 2014
$1.8M
NIDA NIH HHS R01 DA032881
6 · The paper itself

Abstract

backgroundPrescription opioid overdoses have increased dramatically in recent years, with the highest rates among Medicaid enrollees. High-risk prescribing includes practices associated with overdoses and a range of additional opioid-related problems.

objectivesTo identify individual- and county-level factors associated with high-risk prescribing among Medicaid enrollees receiving opioids.

methodsIn a four-states, cross-sectional claims data study, Medicaid enrollees 18-64 years old with a new opioid analgesic treatment episode 2007-2009 were identified. Multivariate regression analyses were conducted to identify factors associated with high-risk prescribing, defined as high-dose opioid prescribing (morphine equivalent daily dose ≥100 mg for >6 days), opioid overlap, opioid-benzodiazepine overlap.

resultsHigh-risk prescribing occurred in 39.4% of episodes. Older age, rural county of residence, white race, and major depression diagnosis were associated with higher rates of all types of high-risk prescribing. Individuals with prior opioid, alcohol, and hypnotic/sedative use disorder diagnoses had lower odds of high-dose opioid prescribing but higher odds of opioid overlap and opioid-benzodiazepine overlap than individuals without such disorders. High-dose opioid prescribing in Massachusetts was less common than in California, Illinois, and New York, whereas the rate of benzodiazepine overlap in Massachusetts was more common than in other states. Conclusions/Importance: High-risk prescribing was common and associated with several important demographic, clinical, and community factors. Findings can be used to inform targeted interventions designed to reduce such prescribing, and given state variation observed, further research is needed to better understand the effects of state policies on high-risk prescribing.

Indexed as

AdolescentAdultAnalgesics, OpioidBenzodiazepinesCross-Sectional StudiesDrug OverdoseDrug UtilizationFemaleHumansLocal GovernmentMajor Depressive DisorderMaleMedicaidMiddle AgedPrescription Drug OverusePrescription DrugsAnalgesics, OpioidBenzodiazepinesPrescription Drugsbenzodiazepinescounty characteristicsdepressionindividual characteristicsMedicaidOpioid analgesics

Identifiers

PMID29303393
PMCPMC6033690
OpenAlexW2781516891

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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.