Evidence map›Paper›PMID 31294243›Full record

ArticleHealth equity2019

Strategies for Teaching Linguistic Preparedness for Physicians: Medical Spanish and Global Linguistic Competence in Undergraduate Medical Education.

Pilar Ortega, Norma Pérez, Brenda Robles, Yumirle Turmelle, David Acosta

Abstract read
In one paragraph

Article in Health equity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Medical Spanish Musculoskeletal and Dermatologic Educational Module.MedEdPORTAL : the journal of teaching and learning resources · 2021
    Article
  5. Virtual Medical Spanish Education at theMedical science educator · 2020
    Article
  6. Review
  7. Language and Health Equity during COVID-19: Lessons and Opportunities.Journal of health care for the poor and underserved
    Article
  8. 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

5 authors.

Pilar OrtegaDepartment of Emergency Medicine, College of Medicine, University of Illinois, Chicago, Illinois.
Norma PérezSpecial Programs, School of Medicine, Hispanic Center of Excellence, University of Texas Medical Branch, Galveston, Texas.
Brenda RoblesLanguage Interpreters Program, National Institutes of Health Clinical Center, Bethesda, Maryland.
Yumirle TurmelleWashington University St. Louis School of Medicine, St. Louis, Missouri.
David AcostaAssociation of American Medical Colleges, Washington, District of Columbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In accordance with Liaison Committee on Medical Education (LCME) curriculum content standards, medical schools are expected to teach physician communication skills and cultural competence. Given the sustained U.S. Spanish-speaking population growth, importance of language in diagnosis, and benefits of patient-physician language concordance, addressing LCME standards equitably should involve linguistic preparedness education. The authors present strategies for implementation of linguistic preparedness education in medical schools by discussing (1) examples of institutional approaches to dedicated medical Spanish courses that meet best practice guidelines and (2) a partnership model with medical interpreters to implement integrated global linguistic competencies in undergraduate medical curricula.

Indexed as

clinical communication skillsHispanic/Latino healthlanguage concordancelinguistic proficiencymedical interpretersmedical Spanishpatient-physician communication

Identifiers

PMID31294243
PMCPMC6615346

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.