Evidence map›Paper›PMID 30986018›Full record

ArticleThe American journal of managed care2019

Deaths among opioid users: impact of potential inappropriate prescribing practices.

Jayani Jayawardhana, Amanda J Abraham, Matthew Perri

Abstract read
In one paragraph

Article in The American journal of managed care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Jayani JayawardhanaUniversity of Georgia, 250 W Green St, Athens, GA 30602. Email: jayaward@uga.edu.
Amanda J Abraham
Matthew Perri

Funding

Opioid Prescribing in Medicaid: Healthcare Utilization and Deaths from OverdoseR01DA039930 · NIDA · UNIVERSITY OF GEORGIA · PI JAYAWARDHANA, JAYANI, PERRI, MATTHEW · 2016 to 2018
$675k
NIDA NIH HHS R01 DA039930
6 · The paper itself

Abstract

objectivesTo examine the association between potential inappropriate prescribing practices of opioids and deaths among opioid users in the Georgia Medicaid population. STUDY

designA retrospective analysis of individual pharmacy claims data from Georgia Medicaid from 2009 through 2014.

methodsThe sample was restricted to patients without cancer aged 18 to 64 years with an opioid prescription and included 3,562,227 observations representing 401,488 individuals. A descriptive analysis and a multivariate logistic regression analysis were conducted.

resultsResults indicate a total of 14,516 deaths among opioid users in the study sample, of whom approximately 42% experienced at least 1 incidence of potential inappropriate prescribing practices. Regression results indicate that the odds of opioid users experiencing death were 1.76 times higher for those who experienced at least 1 incidence of potential inappropriate prescribing practices of opioids compared with those who did not experience any incidence, even after controlling for other covariates (P <.001). Moreover, opioid users in managed care Medicaid were less likely to experience death compared with fee-for-service (FFS) enrollees.

conclusionsThe results indicate a positive and statistically significant association between potential inappropriate opioid prescribing practices and deaths among opioid users in Georgia Medicaid, with FFS enrollees experiencing higher rates of death compared with managed care enrollees. Appropriate policies and interventions targeted at reducing potential inappropriate prescribing practices may help reduce the risk factors associated with mortality among opioid users in this population.

Indexed as

AdolescentAdultAge FactorsAnalgesics, OpioidFemaleGeorgiaHumansInappropriate PrescribingInsurance Claim ReviewMaleMedicaidMiddle AgedOpioid-Related DisordersPractice Patterns, Physicians'Regression AnalysisRetrospective StudiesAnalgesics, Opioid

Identifiers

PMID30986018
PMCPMC7083064

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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.