Evidence map›Paper›PMID 38698378›Full record

ArticleBMC medical education2024

Teaching foundational language equity concepts in the pre-clinical curriculum.

Maria Gabriela Valle Coto, Reniell X Iñiguez, Marina A Lentskevich, Syeda Akila Ally, Julia F Farfan, Yoon Soo Park, Ananya G Gangopadhyaya, Pilar Ortega

Abstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. 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

8 authors.

Maria Gabriela Valle CotoYale New Haven Hospital, New Haven, CT, USA.
Reniell X IñiguezMcGaw Medical Center of Northwestern University, Chicago, IL, USA.
Marina A LentskevichDepartment of Medical Education, University of Illinois College of Medicine, 808 S. Wood Street, MC 591, Chicago, IL, 606012, USA.
Syeda Akila AllyDepartment of Medical Education, University of Illinois College of Medicine, 808 S. Wood Street, MC 591, Chicago, IL, 606012, USA.
Julia F FarfanDepartment of Medical Education, University of Illinois College of Medicine, 808 S. Wood Street, MC 591, Chicago, IL, 606012, USA.
Yoon Soo ParkDepartment of Medical Education, University of Illinois College of Medicine, 808 S. Wood Street, MC 591, Chicago, IL, 606012, USA.
Ananya G GangopadhyayaDepartment of Medical Education, University of Illinois College of Medicine, 808 S. Wood Street, MC 591, Chicago, IL, 606012, USA.
Pilar OrtegaDepartment of Medical Education, University of Illinois College of Medicine, 808 S. Wood Street, MC 591, Chicago, IL, 606012, USA. POrtega1@uic.edu.ORCID http://orcid.org/0000-0002-5136-1805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the prevalence of non-English languages in the US population, existing medical training to teach communication with linguistically diverse communities is limited to electives or solely focuses on medical interpreting. Language-appropriate communication skills are seldom comprehensively integrated in medical education. This study describes the development and evaluation of an intervention to teach foundational language equity concepts.

methodsThe authors implemented a pre-clinical language equity course at three medical school campuses between August 2020 and March 2022. Sessions focused on the impact of language in health, physician language proficiency standards, and working with medical interpreters. The study sought to (1) understand students' language skills and prior clinical experiences with patients with non-English language preference and (2) evaluate the curriculum's impact. Students self-reported their language skills and experiences as part of a voluntary pre-questionnaire. Pre and post-questionnaires evaluated knowledge, attitudes, and intent to apply language equity concepts. Descriptive statistics and chi-squared tests were used to examine trends; themes were identified from free-text responses.

resultsOverall, 301 students completed the course, 252 (83%) completed at least one questionnaire; for each session, between 35% and 46% of learners completed both pre and post-questionnaires. Three quarters (189/252) reported non-English languages. Over half (138/252) reported previous non-English language patient care, and 28% (62/224) had served as ad hoc (untrained) interpreters. Only two students (< 1%) had ever been assessed for medical language abilities. Students demonstrated improved post-course language equity knowledge, strategies for interpreter-mediated encounters, and likelihood to report a plan for language skills assessment (all p < .001). Most plans were multifaceted (61%, 38/62), involving goals like completing a language course, taking a proficiency exam, openly discussing skills and uncertainties with team members, and increasing professional interpreter utilization.

conclusionsA longitudinal language equity curriculum can be feasibly integrated in pre-clinical education, highlight the linguistic diversity of the student body, and serve as a first step in ensuring that all students have a strong language equity foundation prior to clinical rotations. Future steps include evaluating the intervention's potential long-term effects on professional interpreter utilization, student clinical performance, and institutional culture that promotes multilingualism.

Indexed as

Communication BarriersCurriculumEducation, Medical, UndergraduateFemaleHumansLanguageMaleStudents, MedicalSurveys and QuestionnairesHealth equityLanguage-appropriate careLanguage equityLimited English proficiencyNon-English language preferenceUndergraduate medical education

Identifiers

PMID38698378
PMCPMC11064417

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.