Evidence map›Paper›PMID 38097045›Full record

ArticleJournal of substance use and addiction treatment2024

Co-occurring substance use disorders among patients with opioid use disorder in rural primary care clinics.

Yuhui Zhu, Laura-Mae Baldwin, Larissa J Mooney, Andrew J Saxon, Emily Kan, Yih-Ing Hser

Open access · greenAbstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 4 institutions in 1 country.

Yuhui ZhuDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 90024, United States of America.
Laura-Mae BaldwinDepartment of Family Medicine, University of Washington, Seattle, WA 98195, United States of America.
Larissa J MooneyDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 90024, United States of America; Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA 90073, United States of America.
Andrew J SaxonCenter of Excellence in Substance Addiction Treatment and Education, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, United States of America; Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA 98195, United States of America.
Emily KanDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 90024, United States of America.
Yih-Ing HserDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 90024, United States of America. Electronic address: yhser@mednet.ucla.edu.
Neurobehavioral Systems · USUniversity of California, Los Angeles · USUniversity of Puget Sound · USUniversity of Washington · US

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Clinical Trials Network: Pacific Northwest Node (CTN-0082, -0131, -0139 and dissemination library)UG1DA013714 · NIDA · UNIVERSITY OF WASHINGTON · PI Mary Akiko Hatch, John M. Roll · 2015 to 2026
$19.8M
Greater Southern California Node of the Clinical Trials NetworkUG1DA049435 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YIH-ING HSER · 2019 to 2026
$16.7M
NCATS NIH HHS UL1 TR002319NIDA NIH HHS UG1 DA013714NIDA NIH HHS UG1 DA049435
6 · The paper itself

Abstract

backgroundCo-occurring substance use disorders (SUDs) among individuals with opioid use disorder (OUD) are associated with additional impairment, overdose, and death. This study examined characteristics of patients who have OUD with and without co-occurring SUDs in rural primary care clinics.

methodsSecondary analysis used electronic health record (EHR) data from six rural primary care clinics, including demographics, diagnoses, encounters, and prescriptions of medication for OUD (MOUD), as well as EHR data from an external telemedicine vendor that provided MOUD to some clinic patients. The study population included all adult patients who had a visit to the participating clinics from October 2019 to January 2021.

resultsWe identified 1164 patients with OUD; 72.6 % had OUD only, 11.5 % had OUD and stimulant use disorder (OUD + StUD), and 15.9 % had OUD and other non-stimulant substance use disorder (OUD + Other). The OUD + StUD group had the highest rates of hepatitis C virus (25.4 % for OUD + StUD, 17.8 % for OUD + Other, and 7.5 % for OUD Only; p < 0.001) and the highest rates of mental health disorders (78.4 %, 69.7 %, and 59.9 %, respectively; p < 0.001). Compared to the OUD Only group, patients in the OUD + StUD and OUD + Other groups were more likely to receive telehealth services provided by clinic staff, in-clinic behavioral health services, and in-clinic MOUD. The OUD + StUD group had the highest proportion of referrals to the external telemedicine vendor.

conclusionsMore than 27 % of patients with OUD in rural primary care clinics had other co-occurring SUDs, and these patients received more healthcare services than those with OUD only. Future studies should examine variations in outcomes associated with these other services among patients with OUD and co-occurring SUDs.

Indexed as

Drug OverdoseOpioid-Related DisordersAdultAmbulatory Care FacilitiesHepacivirusHumansPrimary Health CareComorbidityHealth serviceOpioid use disorderPrimary care clinicRuralSubstance use disorders

Identifiers

PMID38097045
PMCPMC11522973
OpenAlexW4389612008

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.