Evidence map›Paper›PMID 32557132›Full record

ArticleMaternal and child health journal2020

Antenatal Admissions Among Women with Opioid-Affected and Non-Opioid-Affected Deliveries.

Laura J Faherty, Ashley M Kranz, Joshua Russell-Fritch, Teague Ruder, Stephen W Patrick, Bradley D Stein

Open access · greenAbstract read
In one paragraph

Article in Maternal and child health journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 3 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

6 authors at 2 institutions in 1 country.

Laura J FahertyRAND Corporation, 20 Park Plaza, 9th Floor, Suite 920, Boston, MA, 02116-4303, USA. lfaherty@rand.org.ORCID http://orcid.org/0000-0002-8953-8856
Ashley M KranzRAND Corporation, Arlington, VA, USA.
Joshua Russell-FritchRAND Corporation, Santa Monica, CA, USA.
Teague RuderRAND Corporation, Pittsburgh, PA, USA.
Stephen W PatrickDepartment of Pediatrics, Vanderbilt University, Nashville, TN, USA.
Bradley D SteinRAND Corporation, Pittsburgh, PA, USA.
RAND Corporation · USBoston University · US

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
An Exploratory Analysis of the Association of State Policies with Neonatal Abstinence SyndromeR21DA045212 · NIDA · RAND CORPORATION · PI FAHERTY, LAURA JOHNSON · 2018 to 2019
$490k
NIDA NIH HHS P50 DA046351NIDA NIH HHS P50DA046351NIDA NIH HHS R21 DA045212NIDA NIH HHS R21DA045212
6 · The paper itself

Abstract

objectives(1) To compare the prevalence of antenatal admissions and mean length of stay among women with opioid-affected and non-opioid-affected deliveries; (2) examine predictors of admission; and (3) describe the most common discharge diagnoses in each group.

methodsUsing data from seven states in the State Inpatient Databases for varying years between 2009 and 2014, delivery hospitalizations among women 18 years of age and older were identified and classified as opioid-affected or non-opioid-affected. Antenatal admissions were linked to deliveries. The antenatal admission ratio and mean length of stay for each group were calculated; the percentage of deliveries in each group with no, any, one, two, or three or more antenatal admissions were compared with t-tests. Logistic regression models estimated odds of any antenatal admission, stratified by opioid-affected and non-opioid-affected deliveries. Frequencies were tabulated for the ten most common discharge diagnoses in each group.

resultsOf 2,684,970 deliveries, 14,765 were opioid-affected. Admissions among women with opioid-affected deliveries were more prevalent (26.4 per 100 deliveries) compared to 6.7 among women with non-opioid-affected deliveries and were associated with a 1.5-day longer mean length of stay. The presence of a behavioral health condition was associated with higher odds of antenatal admission in both groups, with a particularly strong association among women with opioid-affected deliveries. Six of the ten most common diagnoses for admissions prior to opioid-affected deliveries were behavioral health-related. CONCLUSIONS FOR PRACTICE: These results highlight the importance of addressing the large burden of behavioral health conditions among pregnant women, especially those with opioid dependence and abuse.

Indexed as

AdolescentAdultAnalgesics, OpioidCross-Sectional StudiesFemaleHospitalizationHumansLength of StayMaternal AgeOpioid-Related DisordersPregnancyPregnancy ComplicationsPrenatal CarePrevalenceRetrospective StudiesUnited StatesAnalgesics, OpioidAntenatal admissionBehavioral healthMental healthOpioid use disorderSubstance use disorder

Identifiers

PMID32557132
PMCPMC7423739
OpenAlexW3036299971

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.