Evidence map›Paper›PMID 21547515›Full record

ArticleThe Psychiatric quarterly2012

HON label and DISCERN as content quality indicators of health-related websites.

Yasser Khazaal, Anne Chatton, Daniele Zullino, Riaz Khan

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in The Psychiatric quarterly, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Health Misinformation Detection in the Social Web: An Overview and a Data Science Approach.International journal of environmental research and public health · 2022
    Review
  6. Searching for Social Media Addiction: A Content Analysis of Top Websites Found through Online Search Engines.International journal of environmental research and public health · 2021
    Article
  7. Article
  8. The Quality, Readability, Completeness, and Accuracy of PTSD Websites for Firefighters.International journal of environmental research and public health · 2020
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yasser KhazaalDivision of Addictology, Geneva University Hospitals, Rue verte, 2, 1205 Geneva, Switzerland. yasser.khazaal@hcuge.ch
Anne Chatton
Daniele Zullino
Riaz Khan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Mental DisordersComprehensionConsumer Health InformationEstheticsEvidence-Based MedicineFactor Analysis, StatisticalHumansInformation DisseminationInternetQuality Indicators, Health CareRegression AnalysisReproducibility of ResultsSearch EngineSensitivity and SpecificityUser-Computer Interface

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.