Publication | Closed Access
A model for online consumer health information quality
138
Citations
34
References
2009
Year
Digital MarketingEhr SystemsInformation QualityHealth CommunicationInformation Quality EvaluationDigital HealthManagementPublic HealthContent AnalysisHealth Services ResearchConsumer HealthHealth Information SystemHealth LiteracyHealthcare Information SystemsHealth LanguageMarketingStructural MarkersHealth Information TechnologyHealth DataHistory Of Health CommunicationHealth Informatics
The five quality‑criteria constructs are grounded in empirical data from health‑information providers, consumers, and intermediaries such as web‑directory creators and librarians. The study proposes a model for online consumer health information that defines five quality‑criteria constructs. The authors define five web‑page structural markers and map them to the quality criteria for use in information‑quality evaluation. Correlation and multinomial logistic analyses show that structural‑marker usage varies by page type and provider, indicating a need for genre‑specific templates, automatic genre‑based classification, and accessible tools and ontologies to help consumers assess health‑information quality.
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.
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