Evidence map›Paper›PMID 37058829›Full record

ArticleDrug and alcohol dependence2023

Duration of medication for opioid use disorder during pregnancy and postpartum by race/ethnicity: Results from 6 state Medicaid programs.

Anna E Austin, Christine Piette Durrance, Katherine A Ahrens, Qingwen Chen, Lindsey Hammerslag, Mary Joan McDuffie, Jeffery Talbert, Paul Lanier, Julie M Donohue, Marian Jarlenski

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
11.0field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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 6 institutions in 1 country.

Anna E AustinDepartment of Maternal and Child Health and Injury Prevention Research Center, University of North Carolina at Chapel Hill, United States; Injury Prevention Research Center, University of North Carolina at Chapel Hill, United States. Electronic address: anna.austin@unc.edu.
Christine Piette DurranceLa Follette School of Public Affairs, University of Wisconsin-Madison, United States.
Katherine A AhrensPublic Health Program, Muskie School of Public Service, University of Southern Maine, United States.
Qingwen ChenDepartment of Health Policy and Management, University of Pittsburgh, United States.
Lindsey HammerslagInstitute for Biomedical Informatics, University of Kentucky, United States.
Mary Joan McDuffieCenter for Community Research & Service, Biden School of Public Policy and Administration, University of Delaware, United States.
Jeffery TalbertInstitute for Biomedical Informatics, University of Kentucky, United States.
Paul LanierSchool of Social Work, University of North Carolina at Chapel Hill, United States.
Julie M DonohueDepartment of Health Policy and Management, University of Pittsburgh, United States.
Marian JarlenskiDepartment of Health Policy and Management, University of Pittsburgh, United States.
University of Pittsburgh · USUniversity of Kentucky · USUniversity of North Carolina at Chapel Hill · USUniversity of Delaware · USUniversity of Southern Maine · USUniversity of Wisconsin–Madison · 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
Availability, accessibility, and structure of opioid use disorder treatment and maternal and child health outcomesR01DA045675 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JARLENSKI, MARIAN PATRICIA, KRANS, ELIZABETH E · 2018 to 2022
$3.4M
NIDA NIH HHS R01 DA045675NIDA NIH HHS R01 DA048029
6 · The paper itself

Abstract

backgroundMedication for opioid use disorder (MOUD) is evidence-based treatment during pregnancy and postpartum. Prior studies show racial/ethnic differences in receipt of MOUD during pregnancy. Fewer studies have examined racial/ethnic differences in MOUD receipt and duration during the first year postpartum and in the type of MOUD received during pregnancy and postpartum.

methodsWe used Medicaid administrative data from 6 states to compare the percentage of women with any MOUD and the average proportion of days covered (PDC) with MOUD, overall and by type of MOUD, during pregnancy and four postpartum periods (1-90 days, 91-180 days, 181-270 days, and 271-360 days postpartum) among White non-Hispanic, Black non-Hispanic, and Hispanic women diagnosed with OUD.

resultsWhite non-Hispanic women were more likely to receive any MOUD during pregnancy and all postpartum periods compared to Hispanic and Black non-Hispanic women. For all MOUD types combined and for buprenorphine, White non-Hispanic women had the highest average PDC during pregnancy and each postpartum period, followed by Hispanic women and Black non-Hispanic women (e.g., for all MOUD types, 0.49 vs. 0.41 vs. 0.23 PDC, respectively, during days 1-90 postpartum). For methadone, White non-Hispanic and Hispanic women had similar average PDC during pregnancy and postpartum, and Black non-Hispanic women had substantially lower PDC.

conclusionsThere are stark racial/ethnic differences in MOUD during pregnancy and the first year postpartum. Reducing these inequities is critical to improving health outcomes among pregnant and postpartum women with OUD.

Indexed as

BuprenorphineOpioid-Related DisordersAnalgesics, OpioidEthnicityFemaleHealthcare DisparitiesHumansMedicaidOpiate Substitution TreatmentPostpartum PeriodPregnancyUnited StatesAnalgesics, OpioidBuprenorphineInequity disparityMedicaidMedication for opioid use disorderPostpartumPregnancy

Identifiers

PMID37058829
PMCPMC10198927
OpenAlexW4362633869

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.