Efficacy of Quality Criteria to Identify Potentially Harmful Information: A Cross-sectional Survey of Complementary and Alternative Medicine Web Sites
Author(s) -
Muhammad F. Walji,
Smitha Sagaram,
Deepak Sagaram,
Funda MericBernstam,
Craig Johnson,
Nadeem Q. Mirza,
Elmer V. Bernstam
Publication year - 2004
Publication title -
journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/jmir.6.2.e21
Subject(s) - the internet , medicine , quality (philosophy) , alternative medicine , medical prescription , information quality , internet privacy , medline , computer science , world wide web , information system , pharmacology , philosophy , epistemology , pathology , law , political science , electrical engineering , engineering
Background Many users search the Internet for answers to health questions. Complementary and alternative medicine (CAM) is a particularly common search topic. Because many CAM therapies do not require a clinician's prescription, false or misleading CAM information may be more dangerous than information about traditional therapies. Many quality criteria have been suggested to filter out potentially harmful online health information. However, assessing the accuracy of CAM information is uniquely challenging since CAM is generally not supported by conventional literature. Objective The purpose of this study is to determine whether domain-independent technical quality criteria can identify potentially harmful online CAM content. Methods We analyzed 150 Web sites retrieved from a search for the three most popular herbs: ginseng, ginkgo and St. John's wort and their purported uses on the ten most commonly used search engines. The presence of technical quality criteria as well as potentially harmful statements (commissions) and vital information that should have been mentioned (omissions) was recorded. Results Thirty-eight sites (25%) contained statements that could lead to direct physical harm if acted upon. One hundred forty five sites (97%) had omitted information. We found no relationship between technical quality criteria and potentially harmful information. Conclusions Current technical quality criteria do not identify potentially harmful CAM information online. Consumers should be warned to use other means of validation or to trust only known sites. Quality criteria that consider the uniqueness of CAM must be developed and validated.
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