Evidence map›Paper›PMID 32659062›Full record

ArticleWMJ : official publication of the State Medical Society of Wisconsin2020

Prescribed Opioid Use in Wisconsin 2008-2016: Findings From the Survey of the Health of Wisconsin.

Tanvee Thakur, Jodi H Barnet, Tamara LeCaire, Andrew Bersch, Paul Peppard, Kristen Malecki, D Paul Moberg

Open access · greenAbstract read
In one paragraph

Article in WMJ : official publication of the State Medical Society of Wisconsin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Tanvee ThakurUniversity of Wisconsin-Madison School of Pharmacy, Madison, Wisconsin.
Jodi H BarnetSurvey of the Health of Wisconsin, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Tamara LeCaireSurvey of the Health of Wisconsin, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Andrew BerschSurvey of the Health of Wisconsin, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Paul PeppardPopulation Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Kristen MaleckiSurvey of the Health of Wisconsin, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
D Paul MobergPopulation Health Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, pmoberg@wisc.edu.
University of Wisconsin–Madison · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Novel population health approach to address CVD and pulmonary health disparitiesRC2HL101468 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI NIETO, F. JAVIER · 2009 to 2010
$5.3M
PRESCRIPTION DRUG OVERDOSE PREVENTION: OPIOID STEWARDSHIP IN WISCONSINU17CE002741 · CE · WISCONSIN DEPARTMENT OF HEALTH SERVICES · PI WEISS, HAROLD B · 2015 to 2015
$940k
NCATS NIH HHS UL1 TR002373NCIPC CDC HHS U17 CE002741NCRR NIH HHS UL1 RR025011NHLBI NIH HHS RC2 HL101468
6 · The paper itself

Abstract

backgroundThe opioid epidemic is a national crisis. The objectives of this report were to describe prescription opioid use in Wisconsin from 2008 through 2016 using unique populationrepresentative data and to assess which demographic, health, and behavioral health characteristics were related to past 30-day prescribed opioid use.

methodsData were obtained from the Survey of the Health of Wisconsin (SHOW), a statewide representative sample of 4,487 adults. Prescription medication use was ascertained via in-person interviews that included an inventory of all prescription medications used by the respondent in the past 30 days. The data were weighted to represent the adult population of Wisconsin, aged 21 to 74. Chi-square, logistic regression, and descriptive statistics were used to analyze data.

resultsFrom 2008 to 2016, 6.4% (95% CI, 5.5-7.3) of adults age 21 years or older reported using a prescribed opioid in the past 30 days. Hydrocodone was the most prescribed opioid class followed by oxycodone. People 50 years of age and older, self-identified black or Hispanic, urban dwellers, those with a high school education or less, and those having incomes below 200% of the federal poverty level (FPL) reported significantly higher rates of prescribed opioid use relative to others. Participants reporting physician-diagnosed drug or alcohol abuse, current smokers, and those currently suffering from depression also reported significantly higher use.

conclusionThese data from 2008-2016 demonstrate concerning levels of prescription opioid use and provide data on which population groups may be most vulnerable. While policies and clinical practice have changed since 2016, ongoing evaluation of prescribing practices, including consideration of behavioral health issues when prescribing opioids, is called for.

Indexed as

AdultAgedAnalgesics, OpioidDrug PrescriptionsFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'Surveys and QuestionnairesWisconsinAnalgesics, Opioid

Identifiers

PMID32659062
PMCPMC7492104
OpenAlexW3042855941

What OpenQuestion holds

Textmetadata
LicenceTDM
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.