Literature DB >> 15370990

A quality evaluation methodology of health web-pages for non-professionals.

Vincenzo Currò1, Paola Sabrina Buonuomo, Roberta Onesimo, Paola de Rose, Andrea Vituzzi, Gian Luca di Tanna, Alessandro D'Atri.   

Abstract

PRIMARY
OBJECTIVE: The proposal of an evaluation methodology for determining the quality of healthcare web sites for the dissemination of medical information to non-professionals. METHODS AND PROCEDURES: Three (macro) factors are considered for the quality evaluation: medical contents, accountability of the authors, and usability of the web site. Starting from two results in the literature the problem of whether or not to introduce a weighting function has been investigated. This methodology has been validated on a specialized information content, i.e., sore throats, due to the large interest such a topic enjoys with target users. The World Wide Web was accessed using a meta-search system merging several search engines. A statistical analysis was made to compare the proposed methodology with the obtained ranks of the sample web pages. MAIN OUTCOME AND
RESULTS: The statistical analysis confirms that the variables examined (per item and sub factor) show substantially similar ranks and are capable of contributing to the evaluation of the main quality macro factors. A comparison between the aggregation functions in the proposed methodology (non-weighted averages) and the weighting functions, derived from the literature, allowed us to verify the suitability of the method.
CONCLUSIONS: The proposed methodology suggests a simple approach which can quickly award an overall quality score for medical web sites oriented to non-professionals.

Mesh:

Year:  2004        PMID: 15370990     DOI: 10.1080/14639230410001684396

Source DB:  PubMed          Journal:  Med Inform Internet Med        ISSN: 1463-9238


  2 in total

1.  Automated assessment of the quality of depression websites.

Authors:  Kathleen M Griffiths; Thanh Tin Tang; David Hawking; Helen Christensen
Journal:  J Med Internet Res       Date:  2005-12-30       Impact factor: 5.428

2.  Relevance similarity: an alternative means to monitor information retrieval systems.

Authors:  Peng Dong; Marie Loh; Adrian Mondry
Journal:  Biomed Digit Libr       Date:  2005-07-20
  2 in total

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