Literature DB >> 32688291

Simple contents and good readability: Improving health literacy for LEP populations.

Wooksoo Kim1, Isok Kim2, Krisztina Baltimore2, Ahmed Salman Imtiaz3, Biplab Sudhin Bhattacharya3, Li Lin3.   

Abstract

Accessing and receiving quality healthcare in an unfamiliar health system is a significant challenge for many new immigrants and refugees. This study aims to provide a three-phase model to develop a web-based health information website that helps populations with limited English proficiency (LEP) increase health literacy and improve healthcare service access.
METHOD: First, we conducted a needs assessment from community leaders and service providers. Second, we developed contents from credible sources and tested each item using multiple readability tests. Last, we revised each item to lower the readability and retest its readability.
RESULTS: The average reading level for the original 99 topics was assessed at 10.84 (SD= 3.26). After revisions, we were able to lower the readability to 8.56 (SD= 2.96), which was around two grade levels lower, on average.
CONCLUSION: the main purpose for building an English based health information website was to assist the population with LEP. By using simple English with lower readability, it will ease the translation process. This study demonstrates a process to develop suitable contents for populations in need. In the future, incorporating visual aid and other multimedia will be beneficial in user engagement and knowledge retention.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Health information; Health literacy; Immigrants and refugees; Limited English proficiency; Website development

Mesh:

Year:  2020        PMID: 32688291     DOI: 10.1016/j.ijmedinf.2020.104230

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  2 in total

1.  Development of a culturally and linguistically sensitive virtual reality educational platform to improve vaccine acceptance within a refugee population: the SHIFA community engagement-public health innovation programme.

Authors:  Samantha Streuli; Najla Ibrahim; Alia Mohamed; Manupriya Sharma; Markie Esmailian; Ibrahim Sezan; Carrie Farrell; Mark Sawyer; Dan Meyer; Khaled El-Maleh; Ritu Thamman; Alex Marchetti; Alan Lincoln; Eric Courchesne; Ahmed Sahid; Sanjeev P Bhavnani
Journal:  BMJ Open       Date:  2021-09-14       Impact factor: 3.006

2.  Use of Machine Learning Algorithms to Predict the Understandability of Health Education Materials: Development and Evaluation Study.

Authors:  Meng Ji; Yanmeng Liu; Mengdan Zhao; Ziqing Lyu; Boren Zhang; Xin Luo; Yanlin Li; Yin Zhong
Journal:  JMIR Med Inform       Date:  2021-05-06
  2 in total

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