Evidence map›Paper›PMID 38072387›Full record

Observational studyJournal of substance use and addiction treatment2024

Jail-based medication for opioid use disorder and patterns of reincarceration and acute care use after release: A sequence analysis.

Sungwoo Lim, Teena Cherian, Monica Katyal, Keith S Goldfeld, Ryan McDonald, Ellen Wiewel, Maria Khan, Noa Krawczyk, Sarah Braunstein, Sean M Murphy and 5 more

Abstract readObservational Study
In one paragraph

Observational study 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Sungwoo LimNew York City Department of Health and Mental Hygiene, Queens, NY, United States of America. Electronic address: slim1@health.nyc.gov.
Teena CherianNew York City Department of Health and Mental Hygiene, Queens, NY, United States of America.
Monica KatyalNYC Health and Hospitals/Correctional Health Services, New York, NY, United States of America.
Keith S GoldfeldNew York University Grossman School of Medicine, New York, NY, United States of America.
Ryan McDonaldNew York University Grossman School of Medicine, New York, NY, United States of America.
Ellen WiewelNew York City Department of Health and Mental Hygiene, Queens, NY, United States of America.
Maria KhanNew York University Grossman School of Medicine, New York, NY, United States of America.
Noa KrawczykNew York University Grossman School of Medicine, New York, NY, United States of America.
Sarah BraunsteinNew York City Department of Health and Mental Hygiene, Queens, NY, United States of America.
Sean M MurphyWeill Cornell Medical College, New York, NY, United States of America.
Ali JalaliWeill Cornell Medical College, New York, NY, United States of America.
Philip J JengWeill Cornell Medical College, New York, NY, United States of America.
Zachary RosnerNYC Health and Hospitals/Correctional Health Services, New York, NY, United States of America.
Ross MacDonaldNew York University Grossman School of Medicine, New York, NY, United States of America.
Joshua D LeeNew York University Grossman School of Medicine, New York, NY, United States of America.

Funding

Impact of Jail-Based Methadone on Overdose, Recidivism, HIV and Health Outcomes, and Costs in New York City, 2011-2017R01DA045042 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LEE, JOSHUA D, LIM, SUNGWOO · 2018 to 2022
$3.1M
Beyond Treatment Initiation: Enhancing Opioid Use Disorder Care Transitions Across Health System TouchpointsK01DA055758 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Noa Krawczyk · 2023 to 2026
$722k
NIDA NIH HHS K01 DA055758NIDA NIH HHS R01 DA045042
6 · The paper itself

Abstract

backgroundTreatment with methadone and buprenorphine medications for opioid use disorder (MOUD) during incarceration may lead to better community re-entry, but evidence on these relationships have been mixed. We aimed to identify community re-entry patterns and examine the association between in-jail MOUD and a pattern of successful reentry defined by rare occurrence of reincarceration and preventable healthcare utilization.

methodsData came from a retrospective, observational cohort study of 6066 adults with opioid use disorder who were incarcerated in New York City jails and released to the community during 2011-14. An outcome was community re-entry patterns identified by sequence analysis of 3-year post-release reincarceration, emergency department visits, and hospitalizations. An exposure was receipt of in-jail MOUD versus out-of-treatment (42 % vs. 58 %) for the last 3 days before discharge. The study accounted for differences in baseline demographic, clinical, behavioral, housing, and criminal legal characteristics between in-jail MOUD and out-of-treatment groups via propensity score matching.

resultsThis study identified five re-entry patterns: stability (64 %), hospitalization (23 %), delayed reincarceration (7 %), immediate reincarceration (4 %), and continuous incarceration (2 %). After addressing confounding, 64 % and 57 % followed the stability pattern among MOUD and out-of-treatment groups who were released from jail in 2011, respectively. In 2012-14, the prevalence of following the stability pattern increased year-by-year while a consistently higher prevalence was observed among those with in-jail MOUD.

conclusionsSequence analysis helped define post-release stability based on health and criminal legal system involvement. Receipt of in-jail MOUD was associated with a marker of successful community re-entry.

Indexed as

JailsOpioid-Related DisordersAdultHumansMethadoneRetrospective StudiesSequence AnalysisMethadone

Identifiers

PMID38072387
PMCPMC10947890

What OpenQuestion holds

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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.