Evidence map›Paper›PMID 32763134›Full record

ArticleAmerican journal of preventive medicine2020

All-Cause Opioid Prescriptions Dispensed: The Outsized Role of Adults With Arthritis.

Louise B Murphy, Miriam G Cisternas, Kristina A Theis, Teresa J Brady, Michele K Bohm, Dana Guglielmo, Jennifer M Hootman, Kamil E Barbour, Michael A Boring, Charles G Helmick

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 2050: An Arthroplasty Odyssey.Healthcare (Basel, Switzerland) · 2025
    Article
  3. Review
  4. Article
  5. Prevalence of Diagnosed Arthritis - United States, 2019-2021.MMWR. Morbidity and mortality weekly report · 2023
    Article
  6. Review
  7. Article
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

10 authors at 2 institutions in 1 country.

Louise B MurphyDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia. Electronic address: lmurphy1@cdc.gov.
Miriam G CisternasMGC Data Services, Bellingham, Washington.
Kristina A TheisDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Teresa J BradyRetired, Division of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia; Clarity Consulting and Communications, Atlanta, Georgia.
Michele K BohmDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Dana GuglielmoDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia; Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee.
Jennifer M HootmanRetired, Division of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Kamil E BarbourDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Michael A BoringStarr and Associates LLC, Atlanta, Georgia.
Charles G HelmickDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Centers for Disease Control and Prevention · USOak Ridge Institute for Science and Education

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionLimited estimates of prescribed opioid use among adults with arthritis exist. All-cause (i.e., for any condition) prescribed opioid dispensed (referred to as opioid prescription in the remainder of this abstract) in the past 12 months among U.S. adults aged ≥18 years (n=35,427) were studied, focusing on adults with arthritis (n=12,875).

methodsIn 2018-2019, estimates were generated using Medical Expenditure Panel Survey data: (1) 2015 prevalence of 1 or more opioid prescriptions to U.S. adults overall and by arthritis status and (2) in 2014-2015, among adults with arthritis, multivariable-adjusted associations between 1 or more opioid prescriptions and sociodemographic characteristics, health status, and healthcare utilization characteristics.

resultsIn 2015, the age-standardized prevalence of 1 or more opioid prescriptions among adults with arthritis (29.6%) was almost double of that for all adults (15.4%). Adults with arthritis represented more than half of all adults (55.3%) with at least 1 opioid prescription; among those with 1 or more prescriptions, 43.2% adults had 4 or more prescriptions. The strongest multivariable-adjusted associations with 1 or more opioid prescriptions were ambulatory care visits (1-4: prevalence ratios=1.9-2.0, 5-8: prevalence ratios=2.5-2.7, 9 or more: prevalence ratios=3.4-3.7) and emergency room visits (1: prevalence ratios=1.6, 2-3: prevalence ratios=1.9-2.0, 4 or more: prevalence ratios=2.4); Ref for both: no visits.

conclusionsAdults with arthritis are a high-need target group for improving pain management, representing more than half of all U.S. adults with 1 or more opioid prescriptions. The association with ambulatory care visits suggests that providers have routine opportunities to discuss comprehensive and integrative pain management strategies, including low-cost evidence-based self-management approaches (e.g., physical activity, self-management education programs, cognitive behavioral therapy). Those with multiple opioid prescriptions may need extra support if transitioning to nonopioid and nonpharmacologic pain management strategies.

Indexed as

Analgesics, OpioidArthritisAdolescentAdultDrug PrescriptionsHumansPain ManagementPrescriptionsPrevalenceAnalgesics, Opioid

Identifiers

PMID32763134
PMCPMC11920957
OpenAlexW3047443977

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.