Psychiatric Quarterly

, Volume 83, Issue 1, pp 15–27 | Cite as

HON Label and DISCERN as Content Quality Indicators of Health-Related Websites

  • Yasser Khazaal
  • Anne Chatton
  • Daniele Zullino
  • Riaz Khan
Original Paper


Content quality indicators are warranted in order to help patients and consumers to judge the content quality of health-related on-line information. The aim of the present study is to evaluate web-based information on health topics and to assess particular content quality indicators like HON (Health on the Net) and DISCERN. The present study is based on the analysis of data issued from six previous studies which assessed with a standardized tool the general and content quality (evidence-based health information) of health-related websites. Keywords related to Social phobia, bipolar disorders, pathological gambling as well as cannabis, alcohol and cocaine addiction were entered into popular World Wide Web search engines. Websites were assessed with a standardized proforma designed to rate sites on the basis of accountability, presentation, interactivity, readability and content quality (evidence-based information). “Health on the Net” (HON) quality label, and DISCERN scale scores were used to verify their efficiency as quality indicators. Of 874 websites identified, 388 were included. Despite an observed association with higher content quality scores, the HON label fails to predict good content quality websites when used in a multiple regression. Sensibility and specificity of a DISCERN score >40 in the detection of good content quality websites were, respectively, 0.45 and 0.96. The DISCERN is a potential quality indicator with a relatively high specificity. Further developments in this domain are warranted in order to facilitate the identification of high-quality information on the web by patients.


Internet Quality indicators Health care Consumer Health-on the net DISCERN 


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Yasser Khazaal
    • 1
  • Anne Chatton
    • 1
  • Daniele Zullino
    • 1
  • Riaz Khan
    • 1
  1. 1.Division of AddictologyGeneva University HospitalsGenevaSwitzerland

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