Journal IssueDOI
A model for online consumer health information quality
TLDR
It was showed that consumers may lack the motivation or literacy skills to evaluate the information quality of health Web pages, which suggests the need to develop accessible automatic information quality evaluation tools and ontologies.Abstract:
This article describes a model for online consumer health information consisting of five quality criteria constructs. These constructs are grounded in empirical data from the perspectives of the three main sources in the communication process: health information providers, consumers, and intermediaries, such as Web directory creators and librarians, who assist consumers in finding healthcare information. The article also defines five constructs of Web page structural markers that could be used in information quality evaluation and maps these markers to the quality criteria. Findings from correlation analysis and multinomial logistic tests indicate that use of the structural markers depended significantly on the type of Web page and type of information provider. The findings suggest the need to define genre-specific templates for quality evaluation and the need to develop models for an automatic genre-based classification of health information Web pages. In addition, the study showed that consumers may lack the motivation or literacy skills to evaluate the information quality of health Web pages, which suggests the need to develop accessible automatic information quality evaluation tools and ontologies. © 2009 Wiley Periodicals, Inc.read more
Citations
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Journal ArticleDOI
Low health literacy and evaluation of online health information: A systematic review of the literature
TL;DR: Current evidence indicates that low health literacy (and related skills) play a role in the evaluation of online health information, and future research in this field should specifically focus on health literacy.
Journal ArticleDOI
Untangling the antecedents of initial trust in Web-based health information: The roles of argument quality, source expertise, and user perceptions of information quality and risk
TL;DR: The results largely support the proposed model of initial trust formation in Web-based health information, explaining substantial variance in trust and highlighting the important but distinct roles that argument quality, source expertise, and user perceptions of information quality and risk play in determining an individual's decision to trust health information online.
Journal ArticleDOI
Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature
Siaw-Teng Liaw,Alireza Rahimi,Alireza Rahimi,Pradeep Ray,Jane Taggart,Sarah Dennis,S de Lusignan,Bin Jalaludin,A.E.T. Yeo,Amir Talaei-Khoei +9 more
TL;DR: This work advocates moving to ontology-based design of information systems to enable more reliable use of routine data to measure health mechanisms and impacts and identifies mechanisms to manage DQ in integrated CDM.
Journal ArticleDOI
The Impact of Search Engine Selection and Sorting Criteria on Vaccination Beliefs and Attitudes: Two Experiments Manipulating Google Output
TL;DR: The existence of dangerous health literacy in connection with searching and using health information on the Internet is verified by exploring the effect of 2 manipulated search engines that yielded either pro or con vaccination sites only.
Journal ArticleDOI
Online information quality and consumer satisfaction
TL;DR: A moderator analysis involving website type, sample characteristics, and the IQ categories used in articles revealed that whereas website type and IQ categories moderate the relationship between perceived online IQ and consumer satisfaction, sample details do not.
References
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Proceedings Article
Metadata Quality for Federated Collections
TL;DR: An approach to conceptualizing, measuring, and assessing metadata quality is presented based on a more general model of information quality (IQ) for many kinds of information beyond just metadata.
Journal ArticleDOI
Consumer Satisfaction with Online Health Information Retrieval: A Model and Empirical Study
Michael Bliemel,Khaled Hassanein +1 more
TL;DR: The findings of this research provide evidence that content quality, technical adequacy and trust explain a large proportion of the variance in consumer satisfaction with online health information retrieval for consumers.
Journal ArticleDOI
Automatic detecting indicators for quality of health information on the Web.
Yunli Wang,Zhenkai Liu +1 more
TL;DR: Using an automatic detecting tool is a promising method for identifying quality criteria of health information, and eventually it can be used to develop instruments for evaluating the quality of health Websites.
Journal ArticleDOI
Automated assessment of the quality of depression websites.
TL;DR: An automated quality assessment procedure designed to automatically rank depression websites according to their evidence-based quality and the validity of Google PageRank and the AQA is evaluated, which could represent an important advance for consumers of Internet medical information.
Proceedings ArticleDOI
Page and link classifications: connecting diverse resources
Stephanie W. Haas,Erika S. Grams +1 more
TL;DR: This work proposes integrated classification systems for Web pages and links which are based on a content analysis of 75 source pages, the almost 1,500 links they contained, and the target pages to which the links led.
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