Evidence map›Paper›PMID 27033142›Full record

ArticleAnnals of emergency medicine2016

The Association Between Limited English Proficiency and Unplanned Emergency Department Revisit Within 72 Hours.

Ka Ming Ngai, Corita R Grudzen, Roy Lee, Vicky Y Tong, Lynne D Richardson, Alicia Fernandez

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

72 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Prevalence of Professional Interpreter Use in Emergency Departments: A Systematic Review and Meta-Analysis.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
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  8. Gaps in Documenting Interpreter Service Utilization Among Emergency Department Clinicians Treating Patients With Limited English Proficiency.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
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12 more citing papers are in PubMed but not listed here.

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.

Ka Ming NgaiDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Emergency Medicine, New York University School of Medicine, New York, NY. Electronic address: kaming.ngai@mountsinai.org.
Corita R GrudzenDepartment of Emergency Medicine, New York University School of Medicine, New York, NY.
Roy LeeDepartment of Biology, St. Francis College, Brooklyn, NY.
Vicky Y TongInstitute of Human Nutrition, Columbia University Medical Center, New York, NY.
Lynne D RichardsonDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Alicia FernandezDepartment of General Internal Medicine, University of California, San Francisco, San Francisco, CA.

Funding

MOUNT SINAI EMERGENCY MEDICINE RESEARCH CAREER DEVELOPMENT PROGRAMK12HL109005 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RICHARDSON, LYNNE D. · 2011 to 2015
$3.9M
Mentoring in the Context of Improving Care for Latinos with DiabetesK24DK102057 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERNANDEZ, ALICIA · 2014 to 2018
$919k
NHLBI NIH HHS K12 HL109005NIDDK NIH HHS K24 DK102057
6 · The paper itself

Abstract

STUDY

objectiveLanguage barriers are known to negatively affect many health outcomes among limited English proficiency patient populations, but little is known about the quality of care such patients receive in the emergency department (ED). This study seeks to determine whether limited English proficiency patients experience different quality of care than English-speaking patients in the ED, using unplanned revisit within 72 hours as a surrogate quality indicator.

methodsWe conducted a retrospective cohort study in an urban adult ED in 2012, with a total of 41,772 patients and 56,821 ED visits. We compared 2,943 limited English proficiency patients with 38,829 English-speaking patients presenting to the ED after excluding patients with psychiatric complaints, altered mental status, and nonverbal states, and those with more than 4 ED visits in 12 months. Two main outcomes-the risk of inpatient admission from the ED and risk of unplanned ED revisit within 72 hours-were measured with odds ratios from generalized estimating equation multivariate models.

resultsLimited English proficiency patients were more likely than English speakers to be admitted (32.0% versus 27.2%; odds ratio [OR]=1.20; 95% confidence interval [CI] 1.11 to 1.30). This association became nonsignificant after adjustments (OR=1.04; 95% CI 0.95 to 1.15). Included in the analysis of ED revisit within 72 hours were 32,857 patients with 45,546 ED visits; 4.2% of all patients (n=1,380) had at least 1 unplanned revisit. Limited English proficiency patients were more likely than English speakers to have an unplanned revisit (5.0% versus 4.1%; OR=1.19; 95% CI 1.02 to 1.45). This association persisted (OR=1.24; 95% CI 1.02 to 1.53) after adjustment for potential confounders, including insurance status.

conclusionWe found no difference in hospital admission rates between limited English proficiency patients and English-speaking patients. Yet limited English proficiency patients were 24% more likely to have an unplanned ED revisit within 72 hours, with an absolute difference of 0.9%, suggesting challenges in ED quality of care.

Indexed as

Communication BarriersAdultComorbidityEmergency Service, HospitalEthnicityFemaleHospitals, UrbanHumansMaleMiddle AgedOdds RatioPatient AdmissionPatient ReadmissionQuality of Health CareRetrospective StudiesRisk Factors

Identifiers

PMID27033142
PMCPMC4958500

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.