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A comparison of World Wide Web resources for identifying medical information
Abstract The objective is to compare the utility ofThe objective is to compare the utility of a search engine, Google, with other medical and non-medical, web-based resources for identifying specific medical information.This institutional review board-approved case cross-over study randomly assigned 89 medical student volunteers to use either Google or any other web-based resource (excluding Google) to research 10 advanced medical questions in a multiple choice exam. Primary outcome measures were resource efficiency (inversely related to number of links used to identify the correct answer for each question) and correctness (number of correct answers/total number of questions answered). For Google searches, the sites providing the information in question were also evaluated.The most frequently selected non-Google resources were Yahoo (n = 531), Ask.com (n = 110), and the interactive encyclopedia Wikipedia.com (n = 74). Google was more efficient than all other resources (1.50 vs. 1.94 mean links, P .0001), with no significant difference in correctness (97% [756/780] vs. 96% [747/780], P = .16). After a Google search, the four most common categories of sites that provided the correct answer were dictionary/encyclopedia sites, medical websites, National Library of Medicine resources, or journal websites. Yahoo was less efficient than Google (1.90 vs. 1.54 mean links, P .0001). However, non-Google search engines were more efficient than web sites (eg, Wikipedia, medical websites) and PubMed (1.87 vs. 2.54 mean links, P = .0004).Google is an efficient web resource for identifying specific medical information, by guiding users to an array of medical resources.ng users to an array of medical resources.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments Experiment: This institutional review boarExperiment: This institutional review board–approved case cross-over study randomly assigned 89 medical student volunteers to use either Google or any other web-based resource (excluding Google) to research 10 advanced medical questions in a multiple choice exam. Primary outcome measures were resource efficiency (inversely related to number of links used to identify the correct answer for each question) and correctness (number of correct answers/total number of questions answered). For Google searches, the sites providing the information in question were also evaluated.formation in question were also evaluated.
Conclusion Results The most frequently selected non-GResults The most frequently selected non-Google resources were Yahoo (n = 531), Ask.com (n = 110), and the interactive encyclopedia Wikipedia.com (n = 74). Google was more efficient than all other resources (1.50 vs. 1.94 mean links, P < .0001), with no significant difference in correctness (97% [756/780] vs. 96% [747/780], P = .16). After a Google search, the four most common categories of sites that provided the correct answer were dictionary/encyclopedia sites, medical websites, National Library of Medicine resources, or journal websites. Yahoo was less efficient than Google (1.90 vs. 1.54 mean links, P < .0001). However, non-Google search engines were more efficient than web sites (eg, Wikipedia, medical websites) and PubMed (1.87 vs. 2.54 mean links, P = .0004). Conclusion Google is an efficient web resource for identifying specific medical information, by guiding users to an array of medical resources.ng users to an array of medical resources.
Data source Experiment responses  + , Websites  +
Doi 10.1016/j.acra.2008.02.010 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22A%2Bcomparison%2Bof%2BWorld%2BWide%2BWeb%2Bresources%2Bfor%2Bidentifying%2Bmedical%2Binformation%22  +
Has author Pamela T. Johnson + , Jennifer K. Chen + , John Eng + , Martin A. Makary + , Elliot K. Fishman +
Has domain Health +
Has topic Health information source + , Ranking and popularity +
Issue 9  +
Month September  +
Pages 1165-72  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Academic Radiology +
Research design Experiment  +
Research questions In this paper, we propose a method for impIn this paper, we propose a method for improving the relevance of contextual ads.We propose a novel “Wikipedia matching” technique that uses Wikipedia articles as “reference points” for ads selection. We show how to combine our newmethod with existing solutions in order to increase the overall performance.order to increase the overall performance.
Revid 10,628  +
Theories Undetermined
Theory type Analysis  +
Title A comparison of World Wide Web resources for identifying medical information
Unit of analysis Website  +
Url http://dx.doi.org/10.1016/j.acra.2008.02.010  +
Volume 15  +
Wikipedia coverage Sample data  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language Not specified  +
Wikipedia page type Article  +
Year 2008  +
Creation dateThis property is a special property in this wiki. 9 March 2012 17:37:08  +
Categories Health information source  + , Ranking and popularity  + , Health  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:19:29  +
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