Evidence map›Paper›PMID 38829451›Full record

ArticleJournal of general internal medicine2024

Association of Opioid Use Disorder Diagnosis with Management of Acute Low Back Pain: A Medicare Retrospective Cohort Analysis.

Patience Moyo, Jessica S Merlin, Richa Gairola, Anthony Girard, Theresa I Shireman, Amal N Trivedi, Brandon D L Marshall

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2024. 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.

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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

7 authors.

Patience MoyoDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA. patience_dow@brown.edu.ORCID 0000-0003-1323-4554
Jessica S MerlinDivision of General Internal Medicine, Challenges in Managing and Preventing Pain Clinical Research Center, University of Pittsburgh, Pittsburgh, PA, USA.
Richa GairolaDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
Anthony GirardDepartment of Biostatistics, Brown University School of Public Health, Providence, RI, USA.
Theresa I ShiremanDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.
Amal N TrivediDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.
Brandon D L MarshallDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA.

Funding

Mentoring the next generation of researchers at the intersection of opioid use disorder and chronic painK24DA056837 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Megan Hamm, Jessica S Merlin · 2023 to 2026
$771k
Chronic Pain Management and Outcomes in Adults With and Without Opioid Use DisorderR03DA051778 · NIDA · BROWN UNIVERSITY · PI DOW, PATIENCE MOYO · 2021 to 2022
$159k
NIDA NIH HHS 1K24DA056837NIDA NIH HHS K24 DA056837NIDA NIH HHS R03 DA051778NIDA NIH HHS R03DA051778
6 · The paper itself

Abstract

backgroundPractice guidelines recommend nonpharmacologic and nonopioid therapies as first-line pain treatment for acute pain. However, little is known about their utilization generally and among individuals with opioid use disorder (OUD) for whom opioid and other pharmacologic therapies carry greater risk of harm.

objectiveTo determine the association between a pre-existing OUD diagnosis and treatment of acute low back pain (aLBP).

designRetrospective cohort study using 2016-2019 Medicare data.

participantsFee-for-service Medicare beneficiaries with a new episode of aLBP. MAIN MEASURES: The main independent variable was OUD diagnosis measured prior to the first LBP claim (i.e., index date). Using multivariable logistic regressions, we assessed the following outcomes measured within 30 days of the index date: (1) nonpharmacologic therapies (physical therapy and/or chiropractic care), and (2) prescription opioids. Among opioid recipients, we further assessed opioid dose and co-prescription of gabapentin. Analyses were conducted overall and stratified by receipt of physical therapy, chiropractic care, opioid fills, or gabapentin fills during the 6 months before the index date. KEY

resultsWe identified 1,263,188 beneficiaries with aLBP, of whom 3.0% had OUD. Two-thirds (65.8%) did not receive pain treatments of interest at baseline. Overall, nonpharmacologic therapy receipt was less prevalent and opioid and nonopioid pharmacologic therapies were more common among beneficiaries with OUD than those without OUD. Beneficiaries with OUD had lower odds of receiving nonpharmacologic therapies (aOR = 0.62, 99%CI = 0.58-0.65) and higher odds of prescription opioid receipt (aOR = 2.24, 99%CI = 2.17-2.32). OUD also was significantly associated with increased odds of opioid doses ≥ 90 morphine milligram equivalents/day (aOR = 2.43, 99%CI = 2.30-2.56) and co-prescription of gabapentin (aOR = 1.15, 99%CI = 1.09-1.22). Similar associations were observed in stratified groups though magnitudes differed.

conclusionsMedicare beneficiaries with aLBP and OUD underutilized nonpharmacologic pain therapies and commonly received opioids at high doses and with gabapentin. Complementing the promulgation of practice guidelines with implementation science could improve the uptake of evidence-based nonpharmacologic therapies for aLBP.

Indexed as

Analgesics, OpioidLow Back PainMedicareOpioid-Related DisordersPain ManagementAcute PainAgedAged, 80 and overCohort StudiesFemaleGabapentinHumansMaleRetrospective StudiesUnited StatesAnalgesics, OpioidGabapentinacute painchiropracticgabapentinMedicare.opioid prescribingphysical therapy

Identifiers

PMID38829451
PMCPMC11306843

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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.