Evidence map›Paper›PMID 38380272›Full record

ArticleDrug and alcohol dependence reports2024

County-level neonatal opioid withdrawal syndrome rates and real-world access to buprenorphine during pregnancy: An audit ("secret shopper") study in Missouri.

Bronwyn S Bedrick, Caroline Cary, Carly O'Donnell, Christine Marx, Hayley Friedman, Ebony B Carter, Nandini Raghuraman, Molly J Stout, Benson S Ku, Kevin Y Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 6 institutions in 1 country.

Bronwyn S BedrickDepartment of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Caroline CaryDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
Carly O'DonnellDepartment of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX.
Christine MarxDepartment of Surgery, Washington University School of Medicine, St. Louis, MO.
Hayley FriedmanDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO.
Ebony B CarterDepartment of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, NC.
Nandini RaghuramanDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
Molly J StoutDepartment of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI.
Benson S KuDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA.
Kevin Y XuDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO.
Jeannie C KellyDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
Washington University in St. Louis · USBaylor College of Medicine · USEmory University · USJohns Hopkins University · USUniversity of Michigan · USUniversity of North Carolina at Chapel Hill · US

Funding

Washington University Career Development Program in Drug Abuse and AddictionK12DA041449 · NIDA · WASHINGTON UNIVERSITY · PI Laura J. Bierut, Patricia A Cavazos-Rehg · 2017 to 2026
$4.2M
Impact of Neighborhood Characteristics on Conversion to Psychosis among Youth at Clinical High Risk for PsychosisK23MH129684 · NIMH · EMORY UNIVERSITY · PI Benson Ku · 2022 to 2026
$970k
NIDA NIH HHS K12 DA041449NIMH NIH HHS K23 MH129684
6 · The paper itself

Abstract

Background: Amid rising rates of neonatal opioid withdrawal syndrome (NOWS) worldwide and in many regions of the USA, we conducted an audit study ("secret shopper study") to evaluate the influence of county-level buprenorphine capacity and rurality on county-level NOWS rates. Methods: In 2019, up to three phone calls were made to buprenorphine prescribers in the state of Missouri (USA). County-level buprenorphine capacity was defined as the number of clinicians (across all specialties) accepting pregnant people divided by the number of births. Multivariable negative binomial regression models estimated associations between buprenorphine capacity, rurality, and county-level NOWS rates, controlling for potential confounders (i.e., poverty, unemployment, and physician shortages) that may correspond to higher rates of NOWS and lower rates of buprenorphine prescribing. Analyses were stratified using tertiles of county-level overdose rates (top, middle, and lowest 1/3 of overdose rates). Results: Of 115 Missouri counties, 81(70 %) had no buprenorphine capacity, 17(15 %) were low-capacity (<0.5-clinicians/1,000 births), and 17(15 %) were high-capacity (≥0.5/1,000 births). The mean NOWS rate was 6.5/1,000 births. In Missouri counties with both the highest and lowest opioid overdose rates, higher buprenorphine capacity did not correspond to decreases in NOWS rates (incidence rate ratio[IRR]=1.23[95 %-confidence-interval[CI]=0.65-2.32] and IRR=1.57[1.21-2.03] respectively). Rurality did not correspond to greater NOWS burden in both Missouri counties with highest and lowest opioid overdose rates. Conclusions: The vast majority of counties in Missouri have no capacity for buprenorphine prescribing during pregnancy. Rurality and lower buprenorphine capacity did not significantly predict elevated rates of NOWS.

Indexed as

Buprenorphine accessNeonatal opioid withdrawalPregnancyRurality

Identifiers

PMID38380272
PMCPMC10877162
OpenAlexW4391486836

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.