Evidence map›Paper›PMID 33231876›Full record

ArticleAmerican journal of industrial medicine2021

Predictors of long-term opioid use and opioid use disorder among construction workers: Analysis of claims data.

Ann Marie Dale, Skye Buckner-Petty, Bradley A Evanoff, Brian F Gage

Open access · greenAbstract read
In one paragraph

Article in American journal of industrial medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Mental Health in Construction Industry: A Global Review.International journal of environmental research and public health · 2025
    Pooled it
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  13. It Is Time to Implement Primary Prevention in the Workplace to Ameliorate the Ongoing U.S. Opioid Epidemic.New solutions : a journal of environmental and occupational health policy : NS · 2021
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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

4 authors.

Ann Marie DaleDivision of General Medical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-5624-8967
Skye Buckner-PettyDivision of General Medical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA.
Bradley A EvanoffDivision of General Medical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-0085-333X
Brian F GageDivision of General Medical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Healthier Workforce Center of the MidwestU19OH008868 · OH · UNIVERSITY OF IOWA · PI ROHLMAN, DIANE S · 2006 to 2025
$19.8M
Improving health and employment outcomes through workplace opioid policiesR34DA050044 · NIDA · WASHINGTON UNIVERSITY · PI DALE, ANN MARIE · 2019 to 2019
$637k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIDA NIH HHS R34 DA050044NIOSH CDC HHS U19 OH008868
6 · The paper itself

Abstract

backgroundConstruction workers have high rates of work-related musculoskeletal disorders, which lead to frequent opioid use and opioid use disorder (OUD). This paper quantified the incidence of opioid use and OUD among construction workers with and without musculoskeletal disorders.

methodsWe conducted a retrospective study using union health claims from January 2015 to June 2018 from 19,909 construction workers. Claims for diagnoses of chronic musculoskeletal disorders, acute musculoskeletal injuries, musculoskeletal surgery, and other conditions were linked to new opioid prescriptions. We examined the effects of high doses (≥50 morphine mg equivalents per day), large supply (more than 7 days per fill), long-term opioid use (60 or more days supplied within a calendar quarter), and musculoskeletal disorders, on the odds of a future OUD.

resultsThere were high rates (42.8% per year) of chronic musculoskeletal disorders among workers, of whom 24.1% received new opioid prescriptions and 6.3% received long-term opioid prescriptions per year. Workers receiving opioids for chronic musculoskeletal disorders had the highest odds of future OUD: 4.71 (95% confidence interval 3.09-7.37); workers prescribed long-term opioids in any calendar quarter had a nearly 10-fold odds of developing an OUD.

conclusionsAmong construction workers, opioids initiated for musculoskeletal pain were strongly associated with incident long-term opioid use and OUD. Musculoskeletal pain from physically demanding work is likely one driver of the opioid epidemic in occupations like construction. Prevention of work injuries and alternative pain management are needed for workers at risk for musculoskeletal injuries.

Indexed as

AdultAnalgesics, OpioidChronic DiseaseConstruction IndustryDrug PrescriptionsHumansIllinoisKansasMaleMiddle AgedMissouriMusculoskeletal PainOccupational DiseasesOdds RatioOpioid-Related DisordersRetrospective StudiesAnalgesics, Opioidblue collar workermusculoskeletal disordersopioid prescriptionspain treatment

Identifiers

PMID33231876
PMCPMC7799490
OpenAlexW3106994210

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.