Evidence map›Paper›PMID 39456008›Full record

ArticleBMC health services research2024

Guideline concordant opioid therapy in Veterans receiving VA and community care.

Phillip Ma, Yan Cheng, Joseph L Goulet, Friedhelm Sandbrink, Cynthia Brandt, Chris Spevak, Jacob T Kean, William Becker, Alexander Libin, Nawar Shara and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC health services research, 2024. 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
–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

0 citing papers in PubMed.

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

17 authors.

Phillip Ma *Washington DC VA Medical Center, Washington, DC, USA.
Yan Cheng *Washington DC VA Medical Center, Washington, DC, USA.
Joseph L GouletWashington DC VA Medical Center, Washington, DC, USA.
Friedhelm SandbrinkWashington DC VA Medical Center, Washington, DC, USA.
Cynthia BrandtYale University, New Haven, CT, USA.
Chris SpevakGeorgetown University School of Medicine, Washington, DC, USA.
Jacob T KeanWashington DC VA Medical Center, Washington, DC, USA.
William BeckerYale University, New Haven, CT, USA.
Alexander LibinGeorgetown University School of Medicine, Washington, DC, USA.
Nawar SharaGeorgetown University School of Medicine, Washington, DC, USA.
Helen M SheriffWashington DC VA Medical Center, Washington, DC, USA.
James S HoustonMedStar Health, Columbia, MD, USA.
Jorie ButlerThe University of Utah, Salt Lake City, UT, USA.
Elizabeth T WorkmanWashington DC VA Medical Center, Washington, DC, USA.
Rajeev M AgrawalMedStar Health, Columbia, MD, USA.
Joel Kupersmith *Washington DC VA Medical Center, Washington, DC, USA.
Qing Zeng-Treitler *Washington DC VA Medical Center, Washington, DC, USA. zengq@gwu.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Assessing and Reducing Opioid Misuse Among Veterans in VA and Non-VA Systems: Coordination of Fragmented CareI01HX003100 · VA · U.S. DEPT/VETS AFFAIRS MEDICAL CENTER · PI KUPERSMITH, JOEL, ZENG, QING · 2021 to 2024
–
HSRD VA I01 HX003100NCATS NIH HHS UL1 TR001863United States Veteran Affairs HSRD IIR HX003100-01A2
6 · The paper itself

Abstract

Guideline concordant opioid therapy is a key part of the concerted effort to address the opioid crisis in the United States. The study aimed to compare the rates of guideline concordant care between veterans who solely used VA services (mono users) and veterans who used both VA services and community care (dual-system users). We used electronic health record data from the Washington DC and Baltimore VA Medical Centers from 2015 to 2019. We provided descriptive statistics as well as generalized estimating equations models to find associations between mono vs. dual-system users and each guideline outcome, controlling for demographic factors and comorbid conditions. The study found that overall rates of guideline concordant care were high in both mono and dual-system users with over 90% adherence rates for the majority of recommendations. However, there were variations in adherence to specific guidelines, with urine drug screening at initiation being the least commonly followed recommendation (8.9% of mono-user opioid initiators and 11.2% of dual-user initiators). This study also found that there was no consistent pattern of higher guideline adherence in mono vs. dual-system users but did show that through the course of this study (2015-2019) overall rates of guideline concordance increased. Future research will explore additional guideline recommendations and potential coordination issues among dual-system users.

Indexed as

Analgesics, OpioidGuideline AdherenceUnited States Department of Veterans AffairsVeteransAdultAgedBaltimoreCommunity Health ServicesDistrict of ColumbiaFemaleHumansMaleMiddle AgedOpioid-Related DisordersPractice Guidelines as TopicUnited StatesAnalgesics, OpioidConcordant careDrug adherenceMono vs dual-systemOpioid therapy disorder

Identifiers

PMID39456008
PMCPMC11515256

What OpenQuestion holds

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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.