Evidence map›Paper›PMID 26361937›Full record

ArticleWomen & health2016

Maternal language and adverse birth outcomes in a statewide analysis.

Tetine Sentell, Ann Chang, Hyeong Jun Ahn, Jill Miyamura

Open access · greenAbstract read
In one paragraph

Article in Women & health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 6 pooled it
3.0field-weighted citation impact, top 8% 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

46 citing papers in PubMed, 6 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
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  7. Review
  8. A Co-Produced Health Literacy Programme for Pregnant Women Whose First Language Is Not English: A Qualitative Study of Women's Experiences.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  9. Obstetric trauma and its association with race and immigration: a population-based cohort study in Ontario, Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Article
  10. Article
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  12. Article
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  14. Article
  15. Patient Safety Event Risk and Language Barriers: A Scoping Review.Joint Commission journal on quality and patient safety · 2025
    Article
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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

4 authors at 2 institutions in 1 country.

Tetine Sentella Office of Public Health Studies , University of Hawaii at Manoa , Honolulu , Hawaii , USA.
Ann Changb Department of Obstetrics, Gynecology, and Women's Health , John A. Burns School of Medicine, University of Hawaii , Honolulu , Hawaii , USA.
Hyeong Jun Ahnc Biostatistics Core, John A. Burns School of Medicine , University of Hawaii , Honolulu , Hawaii , USA.
Jill Miyamurad Hawaii Health Information Corporation , Honolulu , Hawaii , USA.
University of Hawaiʻi at Mānoa · USHawaii Department of Health · US

Funding

UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Peter R Hoffmann · 2012 to 2026
$60.3M
RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI HEDGES, JERRIS ROBERT, MOKUAU, NOREEN · 2012 to 2018
$21.1M
RESEARCH DESIGN, BIOSTATISTICS AND RESEARCH ETHICS COREG12MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 2012 to 2016
$13.0M
Enhancing Hawaii Hospital Information ContentR01HS019990 · AHRQ · QUEEN'S MEDICAL CENTER · PI SETO, TODD B · 2010 to 2010
$1.3M
Hospital Quality Reports for Expectant Mothers: Considering Race and LanguageR21HS021903 · AHRQ · UNIVERSITY OF HAWAII AT MANOA · PI SENTELL, TETINE L. · 2012 to 2014
$902k
AHRQ HHS R01HS019990AHRQ HHS R21 HS021903NIGMS NIH HHS P20 GM103466NIGMS NIH HHS P20GM103466NIMHD NIH HHS G12 MD007601NIMHD NIH HHS G12MD007601NIMHD NIH HHS U54 MD007584NIMHD NIH HHS U54MD007584
6 · The paper itself

Abstract

Limited English proficiency is associated with disparities across diverse health outcomes. However, evidence regarding adverse birth outcomes across languages is limited, particularly among U.S. Asian and Pacific Islander populations. The study goal was to consider the relationship of maternal language to birth outcomes using statewide hospitalization data. Detailed discharge data from Hawaii childbirth hospitalizations from 2012 (n = 11,419) were compared by maternal language (English language or not) for adverse outcomes using descriptive and multivariable log-binomial regression models, controlling for race/ethnicity, age group, and payer. Ten percent of mothers spoke a language other than English; 93% of these spoke an Asian or Pacific Islander language. In multivariable models, compared to English speakers, non-English speakers had significantly higher risk (adjusted relative risk [ARR]: 2.02; 95% confidence interval [CI]: 1.34-3.04) of obstetric trauma in vaginal deliveries without instrumentation. Some significant variation was seen by language for other birth outcomes, including an increased rate of primary Caesarean sections and vaginal births after Caesarean, among non-English speakers. Non-English speakers had approximately two times higher risk of having an obstetric trauma during a vaginal birth when other factors, including race/ethnicity, were controlled. Non-English speakers also had higher rates of potentially high-risk deliveries.

Indexed as

Communication BarriersHealth Status DisparitiesLanguageMothersAdultAsiaAsian PeopleDelivery, ObstetricFemaleHawaiiHospitalizationHumansMaleMultivariate AnalysisNative Hawaiian or Pacific IslanderOutcome Assessment, Health CareAsianbirth outcomesEnglish proficiencyobstetric traumaPacific Islander

Identifiers

PMID26361937
PMCPMC4868388
OpenAlexW2167793113

What OpenQuestion holds

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LicenceTDM
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.