Hamwela, V., Ahmed, W. and Bath, P.A. orcid.org/0000-0002-6310-7396 (2018) Evaluation of websites that contain information relating to malaria in pregnancy. Public Health , 157. pp. 50-52. ISSN 0033-3506
Abstract
Objectives The study identified available websites on malaria in pregnancy on the World Wide Web and sought to evaluate their readability and information quality.
Study design A purposeful sample of websites were selected which provided information on Malaria in pregnancy.
Methods A total of 31 websites were identified from searches using Google, Yahoo and Bing search engines. Two generic tools (Discern and HON), one specific tool designed to assess information quality of malaria in pregnancy and readability tests (Flesch Reading Ease and Flesh-Kincaid Grade level) were used to evaluate the websites.
Results Most of the websites scored below 50% with the HON Code tool, with most lacking information on the symptoms. One website scored over 70 with the reading ease with two (2) achieving a score of 7 for the reading level test. The readability of the websites was too advanced for an ordinary consumer.
Conclusion The results of this study indicated that the information quality of malaria in pregnancy websites varied from fair to medium. It was also found that the readability of the websites was too advanced for an ordinary consumer. These findings suggest that most websites are not comprehensive in addressing all the relevant aspects of malaria in pregnancy.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Royal Society for Public Health. Published by Elsevier Ltd. This is an author produced version of a paper subsequently published in Public Health. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 Jan 2018 11:14 |
Last Modified: | 22 Feb 2019 01:38 |
Published Version: | https://doi.org/10.1016/j.puhe.2018.01.001 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.puhe.2018.01.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126820 |
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