Evidence map›Paper›PMID 34081702›Full record

ArticlePloS one2021

Characterization of neonatal opioid withdrawal syndrome in Arizona from 2010-2017.

Emery R Eaves, Jarrett Barber, Ryann Whealy, Sara A Clancey, Rita Wright, Jill Hager Cocking, Joseph Spadafino, Crystal M Hepp

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 6 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

8 authors at 2 institutions in 1 country.

Emery R EavesDepartment of Anthropology, Northern Arizona University, Flagstaff, Arizona, United States of America.
Jarrett BarberSouthwest Health Equity Research Collaborative, Northern Arizona University, Flagstaff, Arizona, United States of America.
Ryann WhealySchool of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, United States of America.ORCID 0000-0002-8113-411X
Sara A ClanceyInstitute for Human Development, Northern Arizona University, Flagstaff, Arizona, United States of America.
Rita WrightDepartment of Social Work, Northern Arizona University, Flagstaff, Arizona, United States of America.
Jill Hager CockingSchool of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, United States of America.
Joseph SpadafinoArizona Department of Health Services, Phoenix, Arizona, United States of America.
Crystal M HeppSouthwest Health Equity Research Collaborative, Northern Arizona University, Flagstaff, Arizona, United States of America.ORCID 0000-0002-0612-3648
Northern Arizona University · USArizona Department of Health Services · US

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Catherine R Propper · 2017 to 2026
$49.7M
NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

In this paper, we describe a population of mothers who are opioid dependent at the time of giving birth and neonates exposed to opioids in utero who experience withdrawal following birth. While there have been studies of national trends in this population, there remains a gap in studies of regional trends. Using data from the Arizona Department of Health Services Hospital Discharge Database, this study aimed to characterize the population of neonates with neonatal opioid withdrawal syndrome (NOWS) and mothers who were opioid dependent at the time of giving birth, in Arizona. We analyzed approximately 1.2 million electronic medical records from the Arizona Department of Health Services Hospital Discharge Database to identify patterns and disparities across socioeconomic, ethnic, racial, and/or geographic groupings. In addition, we identified comorbid conditions that are differentially associated with NOWS in neonates or opioid dependence in mothers. Our analysis was designed to assess whether indicators such as race/ethnicity, insurance payer, marital status, and comorbidities are related to the use of opioids while pregnant. Our findings suggest that women and neonates who are non-Hispanic White and economically disadvantaged, tend be part of our populations of interest more frequently than expected. Additionally, women who are opioid dependent at the time of giving birth are unmarried more often than expected, and we suggest that marital status could be a proxy for support. Finally, we identified comorbidities associated with neonates who have NOWS and mothers who are opioid dependent not previously reported.

Indexed as

Analgesics, OpioidArizonaCandidiasisFemaleHumansInfant, NewbornMarital StatusMothersNeonatal Abstinence SyndromeOpioid-Related DisordersPregnancyPrenatal Exposure Delayed EffectsAnalgesics, Opioid

Identifiers

PMID34081702
PMCPMC8174702
OpenAlexW3165884090

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.