Evidence map›Paper›PMID 33773868›Full record

ArticleDrug and alcohol dependence2021

Voting with their feet: Social factors linked with treatment for opioid use disorder using same-day buprenorphine delivered in California hospitals.

Mariah M Kalmin, David Goodman-Meza, Erik Anderson, Ariana Abid, Melissa Speener, Hannah Snyder, Arianna Campbell, Aimee Moulin, Steve Shoptaw, Andrew A Herring

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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 4 institutions in 1 country.

Mariah M KalminDepartment of Family Medicine, University of California, Los Angeles, Los Angeles, CA, United States. Electronic address: mkalmin@mednet.ucla.edu.
David Goodman-MezaDepartment of Family Medicine, University of California, Los Angeles, Los Angeles, CA, United States; Division of Infectious Diseases, University of California, Los Angeles, Los Angeles, CA, United States.
Erik AndersonDepartment of Emergency Medicine, Highland Hospital-Alameda Health System, Oakland, CA, United States.
Ariana AbidDepartment of Family Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Melissa SpeenerCalifornia Bridge Program, Public Health Institute, Oakland, CA, United States.
Hannah SnyderCalifornia Bridge Program, Public Health Institute, Oakland, CA, United States; Department of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, United States.
Arianna CampbellCalifornia Bridge Program, Public Health Institute, Oakland, CA, United States; Department of Emergency Medicine, Marshall Medical Center, Placerville, CA, United States.
Aimee MoulinCalifornia Bridge Program, Public Health Institute, Oakland, CA, United States; Department of Emergency Medicine, University of California, Davis, Sacramento, CA, United States.
Steve ShoptawDepartment of Family Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Andrew A HerringDepartment of Emergency Medicine, Highland Hospital-Alameda Health System, Oakland, CA, United States; California Bridge Program, Public Health Institute, Oakland, CA, United States.
University of California, Los Angeles · USUniversity of California, San Francisco · USPublic Health Institute · USMarshall Medical Center · US

Funding

Project-004UG1DA020024 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI Steven J Shoptaw, MADHUKAR H. TRIVEDI · 2015 to 2026
$71.6M
UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAPHAEL J LANDOVITZ · 1997 to 2026
$53.5M
Concept ProjectU10DA020024 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2005 to 2015
$22.6M
Using data science to measure the impact of opioid agonist therapy in patients admitted with Staphylococcus aureus bloodstream infectionsK08DA048163 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GOODMAN, DAVID · 2019 to 2023
$1.0M
NIDA NIH HHS K08 DA048163NIDA NIH HHS U10 DA020024NIDA NIH HHS UG1 DA020024NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

backgroundMedication for opioid use disorder (MOUD) using buprenorphine in primary or specialty care settings is accessed primarily by persons with private health insurance, stable housing, and no polysubstance use. This paper applies Social Cognitive Theory to frame links between social factors and treatment outcomes among patients with social and economic disadvantages who are seeking MOUD at California Bridge Program (CA Bridge) hospitals.

methodsElectronic medical records for patients identified with OUD between January-April, 2020 receiving care at CA Bridge hospitals defined outcomes: hospital-administered buprenorphine; provision of buprenorphine prescription at discharge. Multi-level models assessed whether social factors-housing status, insurance type, and co-methamphetamine use-predicted outcomes while accounting for group-level effects of treating hospital and controlling for age, race/ethnicity, and gender.

results15 CA Bridge hospitals yielded 845 patient records. Most patients received hospital-administered buprenorphine (58 %) and/or a buprenorphine prescription (55 %); 26 % received neither treatment. Patients with unstable housing had greater odds of hospital-administered buprenorphine compared to patients with stable housing. Patients with Medicaid had greater odds of receiving a buprenorphine prescription compared to patients with other insurance. Co-methamphetamine use was not associated with outcomes.

conclusionsPatients with OUD are successful in accessing same-day MOUD in CA Bridge hospital settings over a significant period. Importantly, access to MOUD in these settings was facilitated for patients traditionally not treated using buprenorphine, i.e., those with housing instability, Medicaid insurance, and co-methamphetamine use. Findings suggest barriers to MOUD for patients with social and economic disadvantages can be lowered by changing treatment delivery.

Indexed as

BuprenorphineOpioid-Related DisordersCaliforniaHospitalsHumansOpiate Substitution TreatmentSocial FactorsUnited StatesBuprenorphineBuprenorphine-administration and dosageEmergency servicesOpiate substitution treatmentOpioid-related disorders

Identifiers

PMID33773868
PMCPMC8058318
OpenAlexW3139513491

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.