Literature DB >> 26530827

Language, terminology and the readability of online cancer information.

Pam Peters1, Adam Smith1, Yasmin Funk1, John Boyages2.   

Abstract

Medical terms are a recognised problem in doctor-patient consultations. By contrast, the language difficulties of online healthcare documents are underestimated, even though patients are often encouraged to go to the internet for information. Literacy levels in the community vary, and for patients, carers and health workers with limited reading skills (including first- and second-language users of English), the language of web-based health documents may be challenging or impenetrable. Online delivery of health information is inherently problematic because it cannot provide two-way discussion; and amid the range of health documents on the web, the intended readership (whether general or specialist) is rarely indicated up front. In this research study, we focus on the language and readability of web-based cancer documents, using lexicostatistical methods to profile the vocabularies in two large test databases of breast cancer information, one consisting of material designed for health professionals, the other for the general public. They yielded significantly different word frequency rankings and keyness values, broadly correlating with their different readerships, that is, scientifically literate readers for the professional dataset, and non-specialist readers for the public dataset. The higher type/token ratio in the professional dataset confirms its greater lexical demands, with no concessions to the variable language and literacy skills among second-language health workers. Their language needs can, however, be addressed by a new online multilingual termbank of breast cancer vocabulary, HealthTermFinder, designed to sit alongside health documents on the internet, and provide postconsultation help for patients and carers at their point of need. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  Cancer care; Linguistics

Mesh:

Year:  2015        PMID: 26530827     DOI: 10.1136/medhum-2015-010766

Source DB:  PubMed          Journal:  Med Humanit        ISSN: 1468-215X


  4 in total

1.  Trial of infographics in Northern Ireland (TINI): Preliminary evaluation and results of a randomized controlled trial comparing infographics with text.

Authors:  Alan David McCrorie; Jingwen Jessica Chen; Ross Weller; Kieran John McGlade; Conan Donnelly
Journal:  Cogent Med       Date:  2018-06-01

2.  Web-Based Medical Information Searching by Chinese Patients With Breast Cancer and its Influence on Survival: Observational Study.

Authors:  Yan Li; Shan Ye; Yidong Zhou; Feng Mao; Hailing Guo; Yan Lin; Xiaohui Zhang; Songjie Shen; Na Shi; Xiaojie Wang; Qiang Sun
Journal:  J Med Internet Res       Date:  2020-04-17       Impact factor: 5.428

3.  The popularity of contradictory information about COVID-19 vaccine on social media in China.

Authors:  Dandan Wang; Yadong Zhou
Journal:  Comput Human Behav       Date:  2022-05-05

4.  Examining the language demands of informed consent documents in patient recruitment to cancer trials using tools from corpus and computational linguistics.

Authors:  Talia Isaacs; Jamie Murdoch; Zsófia Demjén; Fiona Stevenson
Journal:  Health (London)       Date:  2020-10-13
  4 in total

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