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A model for online consumer health information quality

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  • Besiki Stvilia
  • Lorri Mon
  • Yong Jeong Yi

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.

Suggested Citation

  • Besiki Stvilia & Lorri Mon & Yong Jeong Yi, 2009. "A model for online consumer health information quality," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(9), pages 1781-1791, September.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:9:p:1781-1791
    DOI: 10.1002/asi.21115
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    Cited by:

    1. Yan Zhang & Ciaran B. Trace, 2022. "The quality of health and wellness self‐tracking data: A consumer perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 879-891, June.
    2. Emmert, Martin & Hessemer, Stefanie & Meszmer, Nina & Sander, Uwe, 2014. "Do German hospital report cards have the potential to improve the quality of care?," Health Policy, Elsevier, vol. 118(3), pages 386-395.
    3. Yu Chi & Daqing He & Wei Jeng, 2020. "Laypeople's source selection in online health information‐seeking process," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(12), pages 1484-1499, December.
    4. Min Sook Park & JungHo Park & Hyejin Kim & Jin Hui Lee & Hyejin Park, 2023. "Measuring the impacts of quantity and trustworthiness of information on COVID‐19 vaccination intent," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(7), pages 846-865, July.

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