Evidence map›Paper›PMID 35969421›Full record

ArticleJMIR medical education2022

Assessing Medical Student Readiness to Navigate Language Barriers in Telehealth: Cross-sectional Survey Study.

Leena Yin, Fiona Ng, Mateo Rutherford-Rojas, Mia Williams, Susannah Cornes, Alicia Fernandez, Maria E Garcia, Elaine C Khoong

Open access · goldAbstract read
In one paragraph

Article in JMIR medical education, 2022. 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
2.8field-weighted citation impact, top 10% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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.

Leena Yin *School of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-2312-1801
Fiona Ng *Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-1907-941X
Mateo Rutherford-RojasInterpreting, Translation and Language Services, UCSF Health, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-5756-7444
Mia WilliamsDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-9892-4591
Susannah CornesWeill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3946-2531
Alicia FernandezDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-7975-6614
Maria E GarciaDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-6169-6967
Elaine C KhoongDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2514-3572
University of California, San Francisco · USSan Francisco General Hospital · US

Funding

UCSF Career Development Program in Implementation Research in Heart and Lung DiseasesK12HL138046 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN, CATTAMANCHI, ADITHYA · 2017 to 2021
$2.9M
Designing a Remote Monitoring Intervention for Value & Equity in Hypertension (DRIVE-HTN)K23HL157750 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHOONG, ELAINE · 2021 to 2025
$921k
Equity in Depression Care for Primary Care Patients with Language BarriersK23MD015115 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARCIA, MARIA ESTELI · 2020 to 2024
$860k
NHLBI NIH HHS K12 HL138046NHLBI NIH HHS K23 HL157750NIMHD NIH HHS K23 MD015115
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has greatly increased telehealth usage in the United States. Patients with limited English proficiency (LEP) face barriers to health care, which may be mitigated when providers work with professional interpreters. However, telehealth may exacerbate disparities if clinicians are not trained to work with interpreters in that setting. Although medical students are now involved in telehealth on an unprecedented scale, no educational innovations have been published that focus on digital care across language barriers.

objectiveThe aim of this study is to investigate advanced medical students' confidence in caring for patients with LEP during telehealth encounters.

methodsWe administered a written survey to medical students on clinical clerkships at one US institution in August and September 2020. We assessed students' overall confidence in working with interpreters; confidence in performing 8 clinical tasks during in-person versus telehealth encounters; and frequency of performing 5 different clinical tasks with patients with LEP compared to English-speaking patients during in-person versus telehealth encounters. Wilcoxon signed-rank tests and chi-square tests were used to compare confidence and task performance frequency, respectively, for patients with LEP versus English-speaking patients during telehealth encounters. Students were also asked to identify barriers to care for patients with LEP. The free-response questions were qualitatively analyzed using open coding to identify key themes.

resultsOf 300 medical students surveyed, 121 responded. Furthermore, 72 students answered >50% of questions and were included in the analyses. Compared to caring for patients with LEP during in-person encounters, respondents were less confident in working with interpreters (P<.001), developing trust (P<.001), identifying agenda (P=.005), eliciting preferences for diabetes management (P=.01), and empowering patients in lifestyle modifications (P=.04) during telehealth encounters. During both in-person and telehealth encounters, approximately half of students (40%-78%) reported engaging less frequently in every clinical task with patients with LEP and this was as low as 22% (13/59) for some tasks. Students identified these key barriers to care for patients with LEP: time pressure, interpretation quality and access, technical difficulties, cultural differences, and difficulty with rapport building.

conclusionsAdvanced medical students were significantly less confident caring for patients with LEP via telehealth than in person. Broader implementation of training around navigating language barriers is necessary for telehealth care, which has rapidly expanded in the United States. Our study identified potential key areas for curricular focus, including creating patient-centered agendas and management plans within the constraints of virtual settings. These developments must take place simultaneously with systems-level improvements in interpreter infrastructure to ensure high-quality care for linguistically diverse patients.

Indexed as

clinicianhealth care professionalinterpreterslanguage barrierslimited English proficiencymedical educationmedical studentsonline educationtelehealthtelemedicine

Identifiers

PMID35969421
PMCPMC9412902
OpenAlexW4286544819

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.