Evidence map›Paper›PMID 41856778›Full record

ArticleRegional anesthesia and pain medicine2026

Treatment gaps for opioid use disorder among commercially insured US surgical patients, 2016-2022.

Brittany A Ervin-Sikhondze, Thuy Nguyen, Pooja Lagisetty, Hsou-Mei Hu, Jennifer F Waljee, Chad M Brummett, Yi Li, Mark C Bicket

Abstract read
In one paragraph

Article in Regional anesthesia and pain medicine, 2026. 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

8 authors.

Brittany A Ervin-SikhondzeAnesthesiology, University of Michigan, Ann Arbor, Michigan, USA ervinb@umich.edu.ORCID http://orcid.org/0000-0002-0516-9257
Thuy NguyenHealth Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.ORCID http://orcid.org/0000-0003-3790-6925
Pooja LagisettyInternal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Hsou-Mei HuCenter for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, Michigan, USA.
Jennifer F WaljeeOverdose Prevention Engagement Network, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Chad M BrummettAnesthesiology, University of Michigan, Ann Arbor, Michigan, USA.
Yi LiOpioid Research Institute, University of Michigan, Ann Arbor, Michigan, USA.
Mark C BicketAnesthesiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID http://orcid.org/0000-0001-9406-5953

Funding

The Impact of Surgery on Outcomes for Patients taking Medications for Opioid Use DisorderR01DA057943 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mark Bicket, Thuy Dieu Nguyen · 2023 to 2026
$2.7M
New Statistical Methods for Modelling Cancer OutcomesR01CA249096 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yi Li · 2021 to 2026
$2.5M
Improving Perioperative Care for Patients with Opioid Use DisorderR01DA058640 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mark Bicket, Jennifer Filip Waljee · 2024 to 2026
$2.3M
Detecting racial disparities in cancer survival by integrating multiple high-dimensional observational studiesR01CA269398 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GUHA, SUBHARUP, LI, YI · 2022 to 2025
$1.3M
NCI NIH HHS R01 CA249096NCI NIH HHS R01 CA269398NIDA NIH HHS R01 DA057943NIDA NIH HHS R01 DA058640
6 · The paper itself

Abstract

backgroundDespite clear evidence of treatment gaps for opioid use disorder (OUD) among the general population, diagnosis and treatment patterns among surgical patients remain poorly characterized. This study aimed to examine national trends in OUD diagnosis and exposure to treatment with medications for opioid use disorder (MOUD) among US surgical patients.

methodsThis population-based cohort study used the Merative MarketScan Commercial Database from July 1, 2016 to December 31, 2022. US adults aged 18-64 years undergoing inpatient or outpatient surgery were included. OUD was identified using International Classification of Disease, 10th Revision codes. MOUD receipt was defined as 1+pharmacy or medical claims for buprenorphine, methadone, or naltrexone within 180 days before surgery. Multivariate logistic regression assessed trends in OUD and MOUD receipt, adjusting for patient, surgical, and clinical variables.

resultsAmong 5 341 768 surgical patients (62.5% female), 31 094 (0.58%) had an OUD diagnosis. The prevalence of OUD declined from 0.71% in 2016 to 0.50% in 2022. Among patients with OUD, the proportion receiving MOUD in the 6 months before surgery increased from 17.8% to 32.6% over the study period. The corresponding treatment gap in MOUD receipt decreased from 82.2% in 2016 to 67.4% in 2022.

conclusionsIn this national cohort of commercially insured surgical patients, most individuals diagnosed with OUD did not receive evidence-based treatment before surgery, despite modest improvements over time. These findings highlight a persistent treatment gap and suggest missed opportunities to improve perioperative care and outcomes for patients with OUD.

Indexed as

Analgesics, OpioidOpioid-Related DisordersPostoperative Complications

Identifiers

PMID41856778
PMCPMC13054645

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.