Literature DB >> 11751805

Indicators of accuracy of consumer health information on the Internet: a study of indicators relating to information for managing fever in children in the home.

Don Fallis1, Martin Frické.   

Abstract

OBJECTIVES: To identify indicators of accuracy for consumer health information on the Internet. The results will help lay people distinguish accurate from inaccurate health information on the Internet.
DESIGN: Several popular search engines (Yahoo, AltaVista, and Google) were used to find Web pages on the treatment of fever in children. The accuracy and completeness of these Web pages was determined by comparing their content with that of an instrument developed from authoritative sources on treating fever in children. The presence on these Web pages of a number of proposed indicators of accuracy, taken from published guidelines for evaluating the quality of health information on the Internet, was noted. MAIN OUTCOME MEASURES: Correlation between the accuracy of Web pages on treating fever in children and the presence of proposed indicators of accuracy on these pages. Likelihood ratios for the presence (and absence) of these proposed indicators.
RESULTS: One hundred Web pages were identified and characterized as "more accurate" or "less accurate." Three indicators correlated with accuracy: displaying the HONcode logo, having an organization domain, and displaying a copyright. Many proposed indicators taken from published guidelines did not correlate with accuracy (e.g., the author being identified and the author having medical credentials) or inaccuracy (e.g., lack of currency and advertising).
CONCLUSIONS: This method provides a systematic way of identifying indicators that are correlated with the accuracy (or inaccuracy) of health information on the Internet. Three such indicators have been identified in this study. Identifying such indicators and informing the providers and consumers of health information about them would be valuable for public health care.

Entities:  

Mesh:

Year:  2002        PMID: 11751805      PMCID: PMC349389          DOI: 10.1136/jamia.2002.0090073

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  12 in total

1.  Filtering Web pages for quality indicators: an empirical approach to finding high quality consumer health information on the World Wide Web.

Authors:  S L Price; W R Hersh
Journal:  Proc AMIA Symp       Date:  1999

2.  Evaluation of cancer information on the Internet.

Authors:  J S Biermann; G J Golladay; M L Greenfield; L H Baker
Journal:  Cancer       Date:  1999-08-01       Impact factor: 6.860

Review 3.  Published criteria for evaluating health related web sites: review.

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4.  Reliability of health information for the public on the World Wide Web: systematic survey of advice on managing fever in children at home.

Authors:  P Impicciatore; C Pandolfini; N Casella; M Bonati
Journal:  BMJ       Date:  1997-06-28

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Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

Review 6.  Rating health information on the Internet: navigating to knowledge or to Babel?

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Journal:  JAMA       Date:  1998-02-25       Impact factor: 56.272

Review 7.  How to read a paper. Papers that report diagnostic or screening tests.

Authors:  T Greenhalgh
Journal:  BMJ       Date:  1997-08-30

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Authors:  H Bower
Journal:  BMJ       Date:  1996-08-17

9.  Assessing, controlling, and assuring the quality of medical information on the Internet: Caveant lector et viewor--Let the reader and viewer beware.

Authors:  W M Silberg; G D Lundberg; R A Musacchio
Journal:  JAMA       Date:  1997-04-16       Impact factor: 56.272

10.  A re-analysis of the reliability of psychiatric diagnosis.

Authors:  R L Spitzer; J L Fleiss
Journal:  Br J Psychiatry       Date:  1974-10       Impact factor: 9.319

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  26 in total

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Authors:  Matthew I Kim; Paul Ladenson; Kevin B Johnson
Journal:  Proc AMIA Symp       Date:  2002

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Authors:  Aaron E Carroll; Sunil Saluja; Peter Tarczy-Hornoch
Journal:  J Am Med Inform Assoc       Date:  2002 Jul-Aug       Impact factor: 4.497

3.  Quality of drug information on the World Wide Web and strategies to improve pages with poor information quality. An intervention study on pages about sildenafil.

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4.  Modeling patients' acceptance of provider-delivered e-health.

Authors:  E Vance Wilson; Nancy K Lankton
Journal:  J Am Med Inform Assoc       Date:  2004-04-02       Impact factor: 4.497

5.  Assessing domains of uncertainty in critical Web-based healthcare communities.

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6.  Identifying unproven cancer treatments on the health web: addressing accuracy, generalizability and scalability.

Authors:  Yin Aphinyanaphongs; Lawrence D Fu; Constantin F Aliferis
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7.  Developing informatics tools and strategies for consumer-centered health communication.

Authors:  Alla Keselman; Robert Logan; Catherine Arnott Smith; Gondy Leroy; Qing Zeng-Treitler
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

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

Authors:  Yasser Khazaal; Anne Chatton; Daniele Zullino; Riaz Khan
Journal:  Psychiatr Q       Date:  2012-03

9.  Characteristics and quality of autism websites.

Authors:  Brian Reichow; Jason I Halpern; Timothy B Steinhoff; Nicole Letsinger; Adam Naples; Fred R Volkmar
Journal:  J Autism Dev Disord       Date:  2012-06

10.  Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding.

Authors:  Laurence Alpay; John Verhoef; Bo Xie; Dov Te'eni; J H M Zwetsloot-Schonk
Journal:  Biomed Inform Insights       Date:  2009-01-01
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