Evidence map›Paper›PMID 36864395›Full record

ArticleBMC ophthalmology2023

Disparities in eye clinic patient encounters among patients requiring language interpreter services.

Lucy I Mudie, Jennifer L Patnaik, Zafar Gill, Marissa Wagner, Karen L Christopher, Leonard K Seibold, Cristos Ifantides

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Complexity and Barriers to Vision Care: A Narrative Review Informed by a Mobile Eye Program.International journal of environmental research and public health · 2025
    Review
  3. Review
  4. 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

7 authors at 1 institution in 1 country.

Lucy I MudieDepartment of Ophthalmology, University of Colorado, 1675 Aurora Court F731, Aurora, CO, 80045, USA.
Jennifer L PatnaikDepartment of Ophthalmology, University of Colorado, 1675 Aurora Court F731, Aurora, CO, 80045, USA.
Zafar GillDepartment of Ophthalmology, University of Colorado, 1675 Aurora Court F731, Aurora, CO, 80045, USA.
Marissa WagnerDepartment of Ophthalmology, University of Colorado, 1675 Aurora Court F731, Aurora, CO, 80045, USA.
Karen L ChristopherDepartment of Ophthalmology, University of Colorado, 1675 Aurora Court F731, Aurora, CO, 80045, USA.
Leonard K SeiboldDepartment of Ophthalmology, University of Colorado, 1675 Aurora Court F731, Aurora, CO, 80045, USA.
Cristos IfantidesDepartment of Ophthalmology, University of Colorado, 1675 Aurora Court F731, Aurora, CO, 80045, USA. cristos.ifantides@cuanschutz.edu.
Denver Health Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunication barriers are a major cause of health disparities for patients with limited English proficiency (LEP). Medical interpreters play an important role in bridging this gap, however the impact of interpreters on outpatient eye center visits has not been studied. We aimed to evaluate the differences in length of eyecare visits between LEP patients self-identifying as requiring a medical interpreter and English speakers at a tertiary, safety-net hospital in the United States.

methodsA retrospective review of patient encounter metrics collected by our electronic medical record was conducted for all visits between January 1, 2016 and March 13, 2020. Patient demographics, primary language spoken, self-identified need for interpreter and encounter characteristics including new patient status, patient time waiting for providers and time in room were collected. We compared visit times by patient's self-identification of need for an interpreter, with our main outcomes being time spent with ophthalmic technician, time spent with eyecare provider, and time waiting for eyecare provider. Interpreter services at our hospital are typically remote (via phone or video).

resultsA total of 87,157 patient encounters were analyzed, of which 26,443 (30.3%) involved LEP patients identifying as requiring an interpreter. After adjusting for patient age at visit, new patient status, physician status (attending or resident), and repeated patient visits, there was no difference in the length of time spent with technician or physician, or time spent waiting for physician, between English speakers and patients identifying as needing an interpreter. Patients who self-identified as requiring an interpreter were more likely to have an after-visit summary printed for them, and were also more likely to keep their appointment once it was made when compared to English speakers.

conclusionsEncounters with LEP patients who identify as requiring an interpreter were expected to be longer than those who did not indicate need for an interpreter, however we found that there was no difference in the length of time spent with technician or physician. This suggests providers may adjust their communication strategy during encounters with LEP patients identifying as needing an interpreter. Eyecare providers must be aware of this to prevent negative impacts on patient care. Equally important, healthcare systems should consider ways to prevent unreimbursed extra time from being a financial disincentive for seeing patients who request interpreter services.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesLanguageLimited English ProficiencyOphthalmologyOutpatient Clinics, HospitalAmbulatory CareHumansRetrospective StudiesSafety-net ProvidersUnited StatesLimited english proficiency patientsMedical interpretersOphthalmology

Identifiers

PMID36864395
PMCPMC9978272
OpenAlexW4322772268

What OpenQuestion holds

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LicenceCC BY
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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.