Evidence map›Paper›PMID 35341615›Full record

Trial reportJournal of substance abuse treatment2022

A randomized clinical trial of strengths-based case management to link emergency department patients to opioid use disorder treatment.

Michael P Bogenschutz, Ryan McCormack, Richard Rapp, Sarah Meyers-Ohki, Sarah E Mennenga, Amber Regis, Rhonda Kolaric, Richard Glisker, Peter P Greco

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of substance abuse treatment, 2022. 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
–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

2 citing papers in PubMed.

  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

9 authors.

Michael P BogenschutzNew York University Grossman School of Medicine, 550 1st Avenue, New York, NY 10016, United States of America. Electronic address: Michael.Bogenschutz@nyulangone.org.
Ryan McCormackNew York University Grossman School of Medicine, 550 1st Avenue, New York, NY 10016, United States of America.
Richard RappWright State University, 3640 Colonel Glenn Hwy, Dayton, OH 45435, United States of America.
Sarah Meyers-OhkiNew York University Grossman School of Medicine, 550 1st Avenue, New York, NY 10016, United States of America.
Sarah E MennengaNew York University Grossman School of Medicine, 550 1st Avenue, New York, NY 10016, United States of America.
Amber RegisNew York University Grossman School of Medicine, 550 1st Avenue, New York, NY 10016, United States of America.
Rhonda KolaricNew York University Grossman School of Medicine, 550 1st Avenue, New York, NY 10016, United States of America.
Richard GliskerNew York University Grossman School of Medicine, 550 1st Avenue, New York, NY 10016, United States of America.
Peter P GrecoNew York University Grossman School of Medicine, 550 1st Avenue, New York, NY 10016, United States of America.

Funding

Comparing Interventions for Opioid Dependent Patients Presenting in Medical EDsR01DA034613 · NIDA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BOGENSCHUTZ, MICHAEL PARKS · 2013 to 2017
$3.3M
NIDA NIH HHS R01 DA034613
6 · The paper itself

Abstract

backgroundDespite the existence of effective pharmacotherapies, rates of opioid use disorder and opioid overdose deaths have continued to increase. Emergency department (ED) visits provide an important opportunity to engage in treatment patients with untreated opioid use disorder (OUD). Case management implemented in other settings is effective in linking those with opioid and other drug use disorders to longer-term treatment, but research has not established its efficacy in the ED. Here we report the results of a trial of Strengths-Based Case Management (SBCM) for people with untreated OUD who are identified during ED visits, with the primary goal of linking them to pharmacologic treatment.

methodsThe study identified patients with untreated OUD during a treatment episode at a large urban ED. The study randomly assigned three hundred participants in 1:1 ratio to receive SBCM or screening, assessment, and referral (SAR) to OUD treatment. Those assigned to SBCM received up to six sessions of SBCM with the primary goal of linkage to treatment. Primary outcomes were initiation of treatment and engagement in pharmacotherapy for OUD. The study defined a "successful outcome" for opioid use as a 3-month urine negative for illicit opioids and no more than 2 days of self-reported opioid misuse in the 4 weeks prior to the 3-month interview.

resultsRates of treatment initiation were not significantly different in the SBCM and SAR groups (57.4% vs. 49.7%, respectively, p > 0.05), nor did engagement in pharmacotherapy differ significantly between groups (p > 0.05). During the 90 days following the index ED visit, SBCM and SAR participants engaged in pharmacotherapy for a mean of 21.8% (SD = 35.1%) versus 17.7% (SD = 31.0%) of days, respectively. Likewise, no significant difference occurred between groups in rates of "successful opioid use outcome" as defined a priori (p > 0.05), although self-reported opioid use over the entire 6-month follow-up period was lower in the SBCM group (10.8 vs. 13.4 days/month, p = 0.042).

conclusionsSBCM-ED did not improve OUD treatment initiation and engagement in this ED study. Although these findings do not necessarily generalize to all EDs, other approaches, such as direct referral or initiation of treatment in the ED, have considerable empirical support, and should be implemented where they are feasible.

Indexed as

Opiate OverdoseOpioid-Related DisordersAnalgesics, OpioidCase ManagementEmergency Service, HospitalHumansAnalgesics, OpioidCase managementEmergency departmentOpioid use disorderPharmacotherapyTreatment

Identifiers

PMID35341615
PMCPMC12051212

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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.