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Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites
BACKGROUND: Most existing tools for measuring the quality of Internet health information focus almost exclusively on structural criteria or other proxies for quality information rather than evaluating actual accuracy and comprehensiveness. OBJECTIVE: This research sought to develop a new performance...
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Gunther Eysenbach
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550576/ https://www.ncbi.nlm.nih.gov/pubmed/14713658 http://dx.doi.org/10.2196/jmir.5.4.e30 |
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author | Seidman, Joshua J Steinwachs, Donald Rubin, Haya R |
author_facet | Seidman, Joshua J Steinwachs, Donald Rubin, Haya R |
author_sort | Seidman, Joshua J |
collection | PubMed |
description | BACKGROUND: Most existing tools for measuring the quality of Internet health information focus almost exclusively on structural criteria or other proxies for quality information rather than evaluating actual accuracy and comprehensiveness. OBJECTIVE: This research sought to develop a new performance-measurement tool for evaluating the quality of Internet health information, test the validity and reliability of the tool, and assess the variability in diabetes Web site quality. METHODS: An objective, systematic tool was developed to evaluate Internet diabetes information based on a quality-of-care measurement framework. The principal investigator developed an abstraction tool and trained an external reviewer on its use. The tool included 7 structural measures and 34 performance measures created by using evidence-based practice guidelines and experts' judgments of accuracy and comprehensiveness. RESULTS: Substantial variation existed in all categories, with overall scores following a normal distribution and ranging from 15% to 95% (mean was 50% and median was 51%). Lin's concordance correlation coefficient to assess agreement between raters produced a rho of 0.761 (Pearson's r of 0.769), suggesting moderate to high agreement. The average agreement between raters for the performance measures was 0.80. CONCLUSIONS: Diabetes Web site quality varies widely. Alpha testing of this new tool suggests that it could become a reliable and valid method for evaluating the quality of Internet health sites. Such an instrument could help lay people distinguish between beneficial and misleading information. |
format | Text |
id | pubmed-1550576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Gunther Eysenbach |
record_format | MEDLINE/PubMed |
spelling | pubmed-15505762006-10-13 Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites Seidman, Joshua J Steinwachs, Donald Rubin, Haya R J Med Internet Res Original Paper BACKGROUND: Most existing tools for measuring the quality of Internet health information focus almost exclusively on structural criteria or other proxies for quality information rather than evaluating actual accuracy and comprehensiveness. OBJECTIVE: This research sought to develop a new performance-measurement tool for evaluating the quality of Internet health information, test the validity and reliability of the tool, and assess the variability in diabetes Web site quality. METHODS: An objective, systematic tool was developed to evaluate Internet diabetes information based on a quality-of-care measurement framework. The principal investigator developed an abstraction tool and trained an external reviewer on its use. The tool included 7 structural measures and 34 performance measures created by using evidence-based practice guidelines and experts' judgments of accuracy and comprehensiveness. RESULTS: Substantial variation existed in all categories, with overall scores following a normal distribution and ranging from 15% to 95% (mean was 50% and median was 51%). Lin's concordance correlation coefficient to assess agreement between raters produced a rho of 0.761 (Pearson's r of 0.769), suggesting moderate to high agreement. The average agreement between raters for the performance measures was 0.80. CONCLUSIONS: Diabetes Web site quality varies widely. Alpha testing of this new tool suggests that it could become a reliable and valid method for evaluating the quality of Internet health sites. Such an instrument could help lay people distinguish between beneficial and misleading information. Gunther Eysenbach 2003-11-27 /pmc/articles/PMC1550576/ /pubmed/14713658 http://dx.doi.org/10.2196/jmir.5.4.e30 Text en © Joshua J Seidman, Donald Steinwachs, Haya R Rubin. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.11.2003. Except where otherwise noted, articles published in the Journal of Medical Internet Research are distributed under the terms of the Creative Commons Attribution License (http://www.creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, including full bibliographic details and the URL (see "please cite as" above), and this statement is included. |
spellingShingle | Original Paper Seidman, Joshua J Steinwachs, Donald Rubin, Haya R Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites |
title | Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites |
title_full | Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites |
title_fullStr | Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites |
title_full_unstemmed | Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites |
title_short | Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites |
title_sort | design and testing of a tool for evaluating the quality of diabetes consumer-information web sites |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550576/ https://www.ncbi.nlm.nih.gov/pubmed/14713658 http://dx.doi.org/10.2196/jmir.5.4.e30 |
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