Evidence map›Paper›PMID 36332591›Full record

SynthesisDrug and alcohol dependence2022

Outpatient follow-up and use of medications for opioid use disorder after residential treatment among Medicaid enrollees in 10 states.

Medicaid Outcomes Distributed Research Network (MODRN), Evan S Cole, Lindsay Allen, Anna Austin, Andrew Barnes, Chung-Chou H Chang, Sarah Clark, Dushka Crane, Peter Cunningham, Carrie E Fry and 15 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
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  6. Review
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  8. Observational
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

25 authors at 11 institutions in 1 country.

Medicaid Outcomes Distributed Research Network (MODRN)
Evan S ColeUniversity of Pittsburgh, A616, 130 DeSoto Street, Pittsburgh, PA 15261, USA.
Lindsay AllenNorthwestern University, Evanston, IL, USA.
Anna AustinUniversity of North Carolina - Chapel Hill, Chapel Hill, NC, USA.
Andrew BarnesVirginia Commonwealth University, Richmond, VA, USA.
Chung-Chou H ChangUniversity of Pittsburgh, Pittsburgh, PA, USA.
Sarah ClarkUniversity of Michigan, Ann Arbor, MI, USA.
Dushka CraneOhio State University, Columbus, OH, USA.
Peter CunninghamVirginia Commonwealth University, Richmond, VA, USA.
Carrie E FryVanderbilt University, Nashville, TN, USA.
Adam J GordonUniversity of Utah, Salt Lake City, UT, USA.
Lindsey HammerslagUniversity of Kentucky, Lexington, KY, USA.
David IdalaThe Hilltop Institute, Baltimore, MD, USA.
Susan KennedyAcademyHealth, Washington DC, USA.
Joo Yeon KimUniversity of Pittsburgh, Pittsburgh, PA, USA.
Sunita KrishnanAcademyHealth, Washington DC, USA.
Paul LanierUniversity of North Carolina - Chapel Hill, Chapel Hill, NC, USA.
Shyama MahakalandaWest Virginia University, Morgantown, WV, USA.
Rachel MaukOhio State University, Columbus, OH, USA.
Mary Joan McDuffieUniversity of Delaware, Newark, DE, USA.
Shamis MohamoudThe Hilltop Institute, Baltimore, MD, USA.
Jeff TalbertUniversity of Kentucky, Lexington, KY, USA.
Lu TangUniversity of Pittsburgh, Pittsburgh, PA, USA.
Kara ZivinUniversity of Michigan, Ann Arbor, MI, USA.
Julie M DonohueUniversity of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · USThe Ohio State University · USUniversity of Kentucky · USUniversity of Michigan–Ann Arbor · USUniversity of North Carolina at Chapel Hill · USVirginia Commonwealth University · USNorthwestern University · USUniversity of Delaware · USUniversity of Utah · USVanderbilt University · USWest Virginia University · US

Funding

Examining the quality of opioid use disorder treatment in a Medicaid research networkR01DA048029 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DONOHUE, JULIE MARIE · 2019 to 2021
$3.5M
NIDA NIH HHS R01 DA048029
6 · The paper itself

Abstract

backgroundFollow-up after residential treatment is considered best practice in supporting patients with opioid use disorder (OUD) in their recovery. Yet, little is known about rates of follow-up after discharge. The objective of this analysis was to measure rates of follow-up and use of medications for OUD (MOUD) after residential treatment among Medicaid enrollees in 10 states, and to understand the enrollee and episode characteristics that are associated with both outcomes.

methodsUsing a distributed research network to analyze Medicaid claims data, we estimated the likelihood of 4 outcomes occurring within 7 and 30 days post-discharge from residential treatment for OUD using multinomial logit regression: no follow-up or MOUD, follow-up visit only, MOUD only, or both follow-up and MOUD. We used meta-analysis techniques to pool state-specific estimates into global estimates.

resultsWe identified 90,639 episodes of residential treatment for OUD for 69,017 enrollees from 2018 to 2019. We found that 62.5% and 46.9% of episodes did not receive any follow-up or MOUD at 7 days and 30 days, respectively. In adjusted analyses, co-occurring mental health conditions, longer lengths of stay, prior receipt of MOUD or behavioral health counseling, and a recent ED visit for OUD were associated with a greater likelihood of receiving follow-up treatment including MOUD after discharge.

conclusionsForty-seven percent of residential treatment episodes for Medicaid enrollees are not followed by an outpatient visit or MOUD, and thus are not following best practices.

Indexed as

BuprenorphineOpioid-Related DisordersAftercareAnalgesics, OpioidHumansMedicaidOpiate Substitution TreatmentPatient DischargeResidential TreatmentUnited StatesAnalgesics, OpioidBuprenorphineFollow-upMedicaidOpioid use disorderResidential treatment

Identifiers

PMID36332591
PMCPMC10756712
OpenAlexW4307047739

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.