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Journal of Medical Internet Research
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Journal of Medical Internet Research
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Article . 2005
Data sources: PubMed Central
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Website Quality Indicators for Consumers

Authors: Griffiths, Kathleen; Christensen, Helen;

Website Quality Indicators for Consumers

Abstract

The rating tool DISCERN was designed for use by consumers without content expertise to evaluate the quality of health information. There is some evidence that DISCERN may be a valid indicator of evidence-based website quality when applied by health professionals. However, it is not known if the tool is a valid measure of evidence-based quality when used by consumers. Since it is a lengthy instrument requiring training in its use, DISCERN may prove impractical for use by the typical consumer. It is therefore important to explore the validity of other simpler potential indicators of site quality such as Google PageRank.This study aimed to determine (1) whether the instrument DISCERN is a valid indicator of evidence-based Web content quality for consumers without specific mental health training, and (2) whether Google PageRank is an indicator of website content quality as measured by an evidence-based gold standard.This was a cross-sectional survey of depression websites using consumer and health professional raters. The main outcome measures were (1) site characteristics, (2) evidence-based quality of content as measured by evidence-based depression guidelines, (3) DISCERN scores, (4) Google PageRank, and (5) user satisfaction.There was a significant association between evidence-based quality ratings and average DISCERN ratings both for consumers (r = 0.62, P = .001) and health professionals (r = 0.80, P < .001). Consumer and health professional DISCERN ratings were significantly correlated (r = 0.77, P < .001). The evidence-based quality score correlated with Google PageRank (r = 0.59, P = .002). However, the correlation between DISCERN scores and user satisfaction was higher than the correlation between Google PageRank and user satisfaction.DISCERN has potential as an indicator of content quality when used either by experts or by consumers. Google PageRank shows some promise as an automatic indicator of quality.

Country
Australia
Keywords

health care personnel, correlation analysis, Health Personnel, Evaluation studies, Online Systems, Keywords: article, medical information system, Humans, human, quality control, Original Paper, Depressive Disorder, Internet, Evidence-Based Medicine, Depressive disorder, evidence based practice, satisfaction, 303, Consumer Behavior, validation process Consumer participation, Medical informatics, Patient Satisfaction, Medical Informatics

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    138
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
138
Top 1%
Top 1%
Top 10%
Green
gold