Evidence map›Paper›PMID 40000518›Full record

Observational studyJournal of general internal medicine2025

Racial Inequality in Receipt of Medications for Opioid Use Disorder in Nationwide Outpatient Settings-A Cross-sectional Study.

Jingna Feng, Yuting Huang, Yichen Wang, Sori K Lundin, Xinyue Hu, Ahmed Abdelhameed, Yan Yan, Liu Yang, Cui Tao

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2025. 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

9 authors.

Jingna Feng *Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, USA.
Yuting Huang *Division of Gastroenterology & Hepatology, Mayo Clinic, Jacksonville, FL, USA.
Yichen WangDivision of Gastroenterology & Hepatology, Mayo Clinic, Jacksonville, FL, USA.
Sori K LundinCenter for Biomedical Semantics and Data Intelligence (BSDI), University of Texas Health Science Center at Houston, Houston, TX, USA.
Xinyue HuDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, USA.
Ahmed AbdelhameedDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, USA.
Yan YanDivision of Gastroenterology & Hepatology, Mayo Clinic, Jacksonville, FL, USA.
Liu YangDepartment of Transplantation, Mayo Clinic, Jacksonville, FL, USA. yang.liu@mayo.edu.ORCID 0000-0003-0677-6152
Cui TaoDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, USA. tao.cui@mayo.edu.

Funding

An end-to-end informatics framework to study Multiple Chronic Conditions (MCC)'s impact on Alzheimer's disease using harmonized electronic health recordsR01AG083039 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BIAN, JIANG, JIANG, XIAOQIAN · 2023 to 2025
$3.4M
NIA NIH HHS R01 AG083039NIA NIH HHS R01AG083039
6 · The paper itself

Abstract

backgroundThe surge in drug overdose fatalities in the USA, particularly from synthetic opioids, highlights the need for effective interventions. Medication for opioid use disorder (MOUD) shows promise in treatment, but disparities in access persist.

objectiveThis study was designed to investigate disparities in MOUD receipt in the outpatient settings for patients diagnosed with opioid use disorder (OUD).

designObservational cohort study.

participantsThe nationwide electronic medical record (EMR) from the IQVIA Ambulatory EMR-US database was utilized, comprising 32,929 patients diagnosed with OUD between January 2014 and September 2022. The analysis focused on Black and White populations, the majority of whom have commercial insurance. MAIN MEASURES: Access to FDA-approved medications for OUD treatment within 180 days after index OUD diagnosis across the USA were measured by medication receipt rate, average days of medication supply, and retention rate. KEY

resultNotable racial disparities were identified in MOUD receipt, with Black population having significantly lower rates than White. State-level disparities were also evident, with 25 out of 41 states showing lower MOUD receipt rates among Black than in White population. Quarterly trends in receipt rates showed lower rates among Black population in most years. Additionally, the average days of supply for MOUD prescriptions were lower for Black population across most states.

conclusionsSignificant racial and state-level disparities exist in MOUD receipt among patients in outpatient settings. The study underscores the need for targeted interventions to address these inequities in MOUD access.

Indexed as

Ambulatory CareHealthcare DisparitiesOpioid-Related DisordersAdultAnalgesics, OpioidBlack or African AmericanCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedOpiate Substitution TreatmentOutpatientsUnited StatesWhiteAnalgesics, OpioidMedications for opioid use disorder (MOUD)MedicineNationwideOpioid use disorderOutpatientRacial disparities

Identifiers

PMID40000518
PMCPMC12508393

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.