Evidence map›Paper›PMID 33310383›Full record

ArticleDrug and alcohol dependence2021

Predictors of enrollment in opioid agonist therapy after opioid overdose or diagnosis with opioid use disorder: A cohort study.

Alexandria Macmadu, Kimberly Paull, Rouba Youssef, Sivakumar Batthala, Kevin H Wilson, Elizabeth A Samuels, Jesse L Yedinak, Brandon D L Marshall

Open access · hybridAbstract read
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 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 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

8 authors at 2 institutions in 1 country.

Alexandria MacmaduDepartment of Epidemiology, Brown University School of Public Health, 121 South Main Street, Providence, RI, USA; The Center for Prisoner Health and Human Rights, The Miriam Hospital, 8 Third Street, Providence, RI, USA.
Kimberly PaullExecutive Office of Health and Human Services, State of Rhode Island, Cranston, RI, USA.
Rouba YoussefExecutive Office of Health and Human Services, State of Rhode Island, Cranston, RI, USA.
Sivakumar BatthalaExecutive Office of Health and Human Services, State of Rhode Island, Cranston, RI, USA.
Kevin H WilsonThe Policy Lab, Brown University, Providence, RI, USA.
Elizabeth A SamuelsDepartment of Emergency Medicine, Alpert Medical School of Brown University, Providence, RI, USA.
Jesse L YedinakDepartment of Epidemiology, Brown University School of Public Health, 121 South Main Street, Providence, RI, USA.
Brandon D L MarshallDepartment of Epidemiology, Brown University School of Public Health, 121 South Main Street, Providence, RI, USA. Electronic address: brandon_marshall@brown.edu.
Brown University · USMassachusetts Executive Office of Health and Human Services · US

Funding

Project 4: Neonatal Abstinence Syndrome (NAS): Fetus to First YearsP20GM125507 · NIGMS · RHODE ISLAND HOSPITAL · PI Ju Nyeong Park · 2018 to 2026
$23.4M
NIGMS NIH HHS P20 GM125507
6 · The paper itself

Abstract

backgroundMedicaid recipients have a high burden of opioid overdose and opioid use disorder (OUD). Opioid agonist therapies are an effective treatment for OUD, but there is a wide and persisting gap between those who are indicated and those who receive treatment. The objective of this study was to identify the predictors of enrollment in opioid agonist therapy within 6 months of an opioid overdose or OUD diagnosis in a cohort of Medicaid recipients.

methodsUsing multiple linked, state-level databases, we conducted a retrospective cohort study of 17,449 Medicaid recipients in Rhode Island who had an opioid overdose or an OUD diagnosis between July 2013 and June 2018.

resultsThe majority (58 %) of Medicaid recipients did not enroll in opioid agonist therapy within 6 months. In adjusted models, having one or more prior overdose (adjusted risk ratio [ARR] = 0.33, 95 % CI: 0.28, 0.38), alcohol use disorder (ARR = 0.56, 95 % CI: 0.52, 0.60), or back problems (ARR = 0.58, 95 % CI: 0.55, 0.61) were strong predictors of non-enrollment. Conversely, emergency department (ARR = 1.31, 95 % CI: 1.28-1.34) and primary care provider (ARR = 1.03, 95 % CI: 1.01-1.34) visit frequency above the 75th percentile were associated with timely enrollment in opioid agonist therapy.

conclusionsOur findings underscore the need to enhance pathways to treatment for OUD through varied nodes of engagement with healthcare systems. Interventions to improve screening for OUD and referrals to opioid agonist therapies should include high-impact settings, such as treatment programs for alcohol and substance use disorders, pain clinics, and outpatient behavioral care settings.

Indexed as

AdolescentAdultAnalgesics, OpioidCohort StudiesDrug OverdoseEmergency Service, HospitalFemaleHumansMaleMedicaidOpiate OverdoseOpiate Substitution TreatmentOpioid-Related DisordersRetrospective StudiesRhode IslandTreatment OutcomeAnalgesics, OpioidMedicaidOpioid agonist therapyOpioid use disorderOverdose

Identifiers

PMID33310383
PMCPMC7855664
OpenAlexW3106951898

What OpenQuestion holds

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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.