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L2 Reading in Healthcare Contexts: Informed Research Methods with Language Diverse Patients

  • Cindy Brantmeier
  • , Dorothy Pokua Agyepong
  • , Amanda Dube
  • , Michael Strube
  • , Jacaranda Van Rheenen
  • , Jessie Wills
  • , Uma Paithankar
  • , Rachel G.A. Thompson
  • , Lisbeth M. Brevik
  • , Greta Björk Gudmundsdottir
  • , Christi Smith
  • , Thammatat Vorawandthanachai
  • , Fred Ssewamala
  • , Proscovia Nabunya
  • Washington University in St. Louis
  • University of California, San Diego
  • University of Oslo
  • Georgetown University
  • Maimonides Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

This study is a renewed effort for applying theory and research in Applied Linguistics (ApL) to today’s healthcare needs. Previously, to analyze language use with linguistically diverse patients during the COVID-19 pandemic, researchers bridged self-assessment (SA) research in ApL to Public Health through the development of an instrument used with 338 healthcare workers (Brantmeier et al., 2021). SA was previously researched in second language (L2) studies with a contextualized, criterion-referenced instrument where learners self-diagnose strengths and weaknesses across language abilities. Studies validated the relationship between the SA instrument and language achievement (Brantmeier, 2005; 2006; Brantmeier & Vanderplank, 2008; Brantmeier et al., 2012; Liu & Brantmeier, 2019). The present study uses a subset of data (Brantmeier et al., 2021) to highlight findings related to reading and substantiates the need for research-based understandings of second and foreign language reading in healthcare contexts.

Original languageEnglish
JournalReading in a Foreign Language
Volume37
Issue number1
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Applied Linguistics and Public Health
  • L2 reading
  • health literacy
  • language diverse patients
  • machine translation of health texts
  • pandemic literacy
  • reading in healthcare contexts
  • second language reading research
  • self-assessment research

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