Literature DB >> 27595436

Understanding online health information: Evaluation, tools, and strategies.

Elisabeth Beaunoyer1, Marianne Arsenault1, Anna M Lomanowska2, Matthieu J Guitton3.   

Abstract

OBJECTIVE: Considering the status of the Internet as a prominent source of health information, assessing online health material has become a central issue in patient education. We describe the strategies available to evaluate the characteristics of online health information, including readability, emotional content, understandability, usability.
METHODS: Popular tools used in assessment of readability, emotional content and comprehensibility of online health information were reviewed. Tools designed to evaluate both printed and online material were considered.
RESULTS: Readability tools are widely used in online health material evaluation and are highly covariant. Assessment of emotional content of online health-related communications via sentiment analysis tools is becoming more popular. Understandability and usability tools have been developed specifically for health-related material, but each tool has important limitations and has been tested on a limited number of health issues.
CONCLUSION: Despite the availability of numerous assessment tools, their overall reliability differs between readability (high) and understandability (low). Approaches combining multiple assessment tools and involving both quantitative and qualitative observations would optimize assessment strategies. PRACTICE IMPLICATIONS: Effective assessment of online health information should rely on mixed strategies combining quantitative and qualitative evaluations. Assessment tools should be selected according to their functional properties and compatibility with target material.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Assessment tools; Health literacy; Mixed methods; Online health information; Readability; Suitability

Mesh:

Year:  2016        PMID: 27595436     DOI: 10.1016/j.pec.2016.08.028

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  34 in total

1.  Going beyond the concept of readability to improve comprehension of patient education materials.

Authors:  Marco Masoni; Maria Renza Guelfi
Journal:  Intern Emerg Med       Date:  2017-03-04       Impact factor: 3.397

2.  Quality evaluation of HPV vaccine-related online messages in China: a cross-sectional study.

Authors:  Wanzhou Wang; Jinliang Lyu; Mintao Li; Yunjing Zhang; Zhihu Xu; Yuanyuan Chen; Jiangjie Zhou; Shengfeng Wang
Journal:  Hum Vaccin Immunother       Date:  2020-10-15       Impact factor: 3.452

3.  Readability Following Cultural and Linguistic Adaptations of an Internet-Based Intervention for Tinnitus for Use in the United States.

Authors:  Eldré W Beukes; Marc Fagelson; Elizabeth Parks Aronson; Maria F Munoz; Gerhard Andersson; Vinaya Manchaiah
Journal:  Am J Audiol       Date:  2020-02-26       Impact factor: 1.493

4.  Factors Associated with the Quality of Online Information about Scapholunate Interosseous Ligament Insufficiency.

Authors:  Daniel Bakker; Janna S E Ottenhoff; David Ring
Journal:  J Hand Microsurg       Date:  2018-12-26

5.  Assessment of Online Patient Education Material About Dysphagia.

Authors:  Sarah M Steiner; Bonnie K Slavych; Richard I Zraick
Journal:  Dysphagia       Date:  2022-10-07       Impact factor: 2.733

6.  Evaluation of Web-Based Health Information From the Perspective of Women With Eating Disorders: Thematic Analysis.

Authors:  Hana Drtilova; Hana Machackova; Martina Smahelova
Journal:  J Med Internet Res       Date:  2022-06-13       Impact factor: 7.076

7.  Diabetes on Twitter: A Sentiment Analysis.

Authors:  Elia Gabarron; Enrique Dorronzoro; Octavio Rivera-Romero; Rolf Wynn
Journal:  J Diabetes Sci Technol       Date:  2018-11-19

8.  Quantitative readability analysis of websites providing information on traumatic brain injury and epilepsy: A need for clear communication.

Authors:  Daniel José Correa; Lindsey Milano; Churl-Su Kwon; Nathalie Jetté; Dennis Dlugos; Lauren Harte-Hargrove; Mary Jo Pugh; Jessica K Smith; Solomon L Moshé
Journal:  Epilepsia       Date:  2020-02-24       Impact factor: 5.864

9.  A readability analysis of online mental health resources.

Authors:  Dorothy D Skierkowski; Paul Florin; Lisa L Harlow; Jason Machan; Yinjiao Ye
Journal:  Am Psychol       Date:  2018-10-08

10.  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
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