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Interpreter training for medical students: pilot implementation and assessment in a student-run clinic

Overview of attention for article published in BMC Medical Education, September 2016
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Interpreter training for medical students: pilot implementation and assessment in a student-run clinic
Published in
BMC Medical Education, September 2016
DOI 10.1186/s12909-016-0760-8
Pubmed ID
Authors

Jennifer E. L. Diaz, Nydia Ekasumara, Nikhil R. Menon, Edwin Homan, Prashanth Rajarajan, Andrés Ramírez Zamudio, Annie J. Kim, Jason Gruener, Edward Poliandro, David C. Thomas, Yasmin S. Meah, Rainier P. Soriano

Abstract

Trained medical interpreters are instrumental to patient satisfaction and quality of care. They are especially important in student-run clinics, where many patients have limited English proficiency. Because student-run clinics have ties to their medical schools, they have access to bilingual students who may volunteer to interpret, but are not necessarily formally trained. To study the feasibility and efficacy of leveraging medical student volunteers to improve interpretation services, we performed a pilot study at the student-run clinic at the Icahn School of Medicine at Mount Sinai. In each fall semester in 2012-2015, we implemented a 6-h course providing didactic and interactive training on medical Spanish interpreting techniques and language skills to bilingual students. We then assessed the impact of the course on interpreter abilities. Participants' comfort levels, understanding of their roles, and understanding of terminology significantly increased after the course (p < 0.05), and these gains remained several months later (p < 0.05) and were repeated in an independent cohort. Patients and student clinicians also rated participants highly (averages above 4.5 out of 5) on these measures in real clinical encounters. These findings suggest that a formal interpreter training course tailored for medical students in the setting of a student-run clinic is feasible and effective. This program for training qualified student interpreters can serve as a model for other settings where medical students serve as interpreters.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Ph. D. Student 6 10%
Librarian 5 8%
Student > Bachelor 5 8%
Student > Doctoral Student 4 7%
Other 16 27%
Unknown 13 22%
Readers by discipline Count As %
Medicine and Dentistry 20 33%
Nursing and Health Professions 7 12%
Agricultural and Biological Sciences 5 8%
Social Sciences 5 8%
Linguistics 2 3%
Other 6 10%
Unknown 15 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 January 2017.
All research outputs
#13,129,252
of 22,890,496 outputs
Outputs from BMC Medical Education
#1,587
of 3,338 outputs
Outputs of similar age
#164,712
of 322,602 outputs
Outputs of similar age from BMC Medical Education
#28
of 67 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,338 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.