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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Oct 19, 2018
Open Peer Review Period: Oct 25, 2018 - Dec 20, 2018
Date Accepted: Apr 8, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Consumer Evaluation of the Quality of Online Health Information: Systematic Literature Review of Relevant Criteria and Indicators

Sun Y, Zhang Y, Gwizdka J, Trace CB

Consumer Evaluation of the Quality of Online Health Information: Systematic Literature Review of Relevant Criteria and Indicators

J Med Internet Res 2019;21(5):e12522

DOI: 10.2196/12522

PMID: 31045507

PMCID: 6521213

Consumer Evaluation of the Quality of Online Health Information: A Systematic Literature Review of Criteria and Indicators

  • Yalin Sun; 
  • Yan Zhang; 
  • Jacek Gwizdka; 
  • Ciaran B. Trace

ABSTRACT

Background:

As the quality of online health information remains questionable, there is a pressing need to understand how consumers evaluate this information. Past reviews identified content-, source-, and individual-related factors that influence consumer judgment in this area. However, systematic knowledge concerning the evaluation process, that is, why and how these factors influence the evaluation behavior, is lacking.

Objective:

This review aims to (1) identify criteria (rules that reflect notions of value and worth) that consumers use to evaluate the quality of online health information, and the indicators (properties of information objects to which criteria are applied to form judgments) that they use to support the evaluation, to achieve a better understanding of the process of information quality evaluation and (2) explicate the relationship between indicators and criteria to provide clearer guidelines for designers of consumer health information systems.

Methods:

A systematic literature search was performed in seven digital reference databases covering medicine, psychology, communication, and library and information science to identify empirical studies which report on how consumers directly and explicitly describe their evaluation of online health information quality. Thirty-seven articles met the inclusion criteria. A qualitative content analysis was performed to identify quality evaluation criteria, indicators, and their relationships.

Results:

25 criteria and 165 indicators were identified. The most widely reported criteria used by consumers are trustworthiness, expertise, and objectivity. The indicators were related to source, content, and design. Among them 114 are positive indicators (entailing positive quality judgments), 35 are negative (entailing negative judgments), and 16 entail both positive and negative quality judgments, depending on contextual factors (e.g., source and individual differences) and criteria applied. The most widely reported indicators are the identity of site owners, consensus among multiple sources, the use of professional medical terms and technical vocabularies, and advertisements.

Conclusions:

Consumer evaluation of online health information is a complex cost-benefit analysis process that involves the use of a wide range of criteria and a much wider range of quality indicators. There are some commonalities in the use of criteria across user groups and source types, but the differences are hard to ignore. It is obvious that consumers’ health information evaluation can be characterized as highly subjective and contextualized, and sometimes misinformed. These findings invite more research into how different user groups evaluate different types of online sources and a personalized approach to educate users about evaluating online health information quality.


 Citation

Please cite as:

Sun Y, Zhang Y, Gwizdka J, Trace CB

Consumer Evaluation of the Quality of Online Health Information: Systematic Literature Review of Relevant Criteria and Indicators

J Med Internet Res 2019;21(5):e12522

DOI: 10.2196/12522

PMID: 31045507

PMCID: 6521213

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.